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Guido Imbens

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambe, 2017. "Redefine Statistical Significance," Artefactual Field Experiments 00612, The Field Experiments Website.
    • Daniel J. Benjamin & James O. Berger & Magnus Johannesson & Brian A. Nosek & E.-J. Wagenmakers & Richard Berk & Kenneth A. Bollen & Björn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Chr, 2018. "Redefine statistical significance," Nature Human Behaviour, Nature, vol. 2(1), pages 6-10, January.

    Mentioned in:

    1. [統計][経済][科学]新発見の統計的有意性のp値の閾値は5%から0.5%に下げよ
      by himaginary in himaginaryの日記 on 2017-08-29 05:00:00
    2. New p-Value Thresholds for Statistical Significance
      by Francis Diebold in No Hesitations on 2017-08-28 04:46:00
    3. More on New p-Value Thresholds
      by Francis Diebold in No Hesitations on 2017-09-04 22:17:00
  2. Guido W. Imbens, 2009. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," NBER Working Papers 14896, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Rise and Fall of a Method
      by Agent Continuum in Agent Continuum on 2010-04-21 18:53:35
    2. is not too LATE for empirical development!!!
      by Dany in Rigotnomics on 2009-04-24 04:43:00
  3. Alberto Abadie & Jane Leber Herr & Guido W. Imbens & David M. Drukker, 2004. "NNMATCH: Stata module to compute nearest-neighbor bias-corrected estimators," Statistical Software Components S439701, Boston College Department of Economics.

    Mentioned in:

    1. Thoughts on "Bias and the Bar"
      by Christopher Zorn in Empirical Legal Studies on 2009-05-01 00:12:22
  4. Andrew Gelman & Guido Imbens, 2014. "Why High-order Polynomials Should not be Used in Regression Discontinuity Designs," NBER Working Papers 20405, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Sam Watson’s journal round-up for 27th March 2017
      by Sam Watson in The Academic Health Economists' Blog on 2017-03-27 16:00:00

    Mentioned in:

    1. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00
  5. Author Profile
    1. Ranking California Economists as of May 2015
      by Matthew Kahn in Environmental and Urban Economics on 2015-06-04 02:25:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Athey, Susan & Imbens, Guido W., 2015. "Machine Learning for Estimating Heterogeneous Causal Effects," Research Papers 3350, Stanford University, Graduate School of Business.

    Mentioned in:

    1. > Econometrics > Big Data

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..

    Mentioned in:

    1. Jackknife Instrumental Variables Estimation (Journal of Applied Econometrics 1999) in ReplicationWiki ()
    2. Jackknife instrumental variables estimation (Journal of Applied Econometrics 1999) in ReplicationWiki ()

    Mentioned in:

    1. Gleichgewicht in korrelierten Strategien in Wikipedia (German)
  2. Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens, 2000. "The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 499-527.

    Mentioned in:

    1. The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish (REStud 2000) in ReplicationWiki ()

Working papers

  1. Jann Spiess & Guido Imbens & Amar Venugopal, 2023. "Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control," NBER Working Papers 31802, National Bureau of Economic Research, Inc.

    Cited by:

    1. Masahiro Kato & Akari Ohda, 2023. "Asymptotically Unbiased Synthetic Control Methods by Density Matching," Papers 2307.11127, arXiv.org, revised Feb 2025.
    2. Yuan Liao & Xinjie Ma & Andreas Neuhierl & Zhentao Shi, 2023. "Economic Forecasts Using Many Noises," Papers 2312.05593, arXiv.org, revised Dec 2023.
    3. Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024. "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," NBER Working Papers 33117, National Bureau of Economic Research, Inc.
    4. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.

  2. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," NBER Working Papers 31942, National Bureau of Economic Research, Inc.

    Cited by:

    1. Dmitry Arkhangelsky & Aleksei Samkov, 2024. "Sequential Synthetic Difference in Differences," Papers 2404.00164, arXiv.org.
    2. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2025.
    3. Yiqing Xu & Anqi Zhao & Peng Ding, 2024. "Factorial Difference-in-Differences," Papers 2407.11937, arXiv.org, revised Jan 2025.

  3. Susan Athey & Peter J. Bickel & Aiyou Chen & Guido W. Imbens & Michael Pollmann, 2021. "Semiparametric Estimation of Treatment Effects in Randomized Experiments," Papers 2109.02603, arXiv.org, revised Aug 2023.

    Cited by:

    1. Baul, Tushi & Karlan, Dean & Toyama, Kentaro & Vasilaky, Kathryn, 2024. "Improving smallholder agriculture via video-based group extension," Journal of Development Economics, Elsevier, vol. 169(C).
    2. Ke Sun & Linglong Kong & Hongtu Zhu & Chengchun Shi, 2024. "ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments," Papers 2408.05342, arXiv.org, revised Jan 2025.
    3. Joe Cooprider & Shima Nassiri, 2023. "Science of price experimentation at Amazon," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 58(1), pages 34-41, January.

  4. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.

    Cited by:

    1. Achille Nazaret & Claudia Shi & David M. Blei, 2023. "On the Misspecification of Linear Assumptions in Synthetic Control," Papers 2302.12777, arXiv.org.
    2. Anish Agarwal & Vasilis Syrgkanis, 2022. "Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime," Papers 2210.11003, arXiv.org.
    3. Claudia Shi & Dhanya Sridhar & Vishal Misra & David M. Blei, 2021. "On the Assumptions of Synthetic Control Methods," Papers 2112.05671, arXiv.org, revised Dec 2021.
    4. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
    5. Nathan Kallus & Miruna Oprescu, 2022. "Robust and Agnostic Learning of Conditional Distributional Treatment Effects," Papers 2205.11486, arXiv.org, revised Feb 2023.
    6. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    7. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    8. Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2022. "Inference on Strongly Identified Functionals of Weakly Identified Functions," Papers 2208.08291, arXiv.org, revised Jun 2023.
    9. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.

  5. Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.

    Cited by:

    1. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    2. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    3. Jiafeng Chen, 2022. "Synthetic Control As Online Linear Regression," Papers 2202.08426, arXiv.org, revised Nov 2022.
    4. Alberto Abadie & Jinglong Zhao, 2021. "Synthetic Controls for Experimental Design," Papers 2108.02196, arXiv.org, revised Sep 2024.
    5. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    6. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2023. "Same Root Different Leaves: Time Series and Cross‐Sectional Methods in Panel Data," Econometrica, Econometric Society, vol. 91(6), pages 2125-2154, November.

  6. Patrick Bajari & Brian Burdick & Guido W. Imbens & Lorenzo Masoero & James McQueen & Thomas Richardson & Ido M. Rosen, 2021. "Multiple Randomization Designs," Papers 2112.13495, arXiv.org.

    Cited by:

    1. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    2. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    3. Anish Agarwal & Sarah H. Cen & Devavrat Shah & Christina Lee Yu, 2022. "Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference," Papers 2210.11355, arXiv.org, revised Oct 2023.
    4. Ruohan Zhan & Shichao Han & Yuchen Hu & Zhenling Jiang, 2024. "Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach," Papers 2406.14380, arXiv.org, revised Jul 2024.
    5. Evan Munro & David Jones & Jennifer Brennan & Roland Nelet & Vahab Mirrokni & Jean Pouget-Abadie, 2023. "Causal Estimation of User Learning in Personalized Systems," Papers 2306.00485, arXiv.org.
    6. Ramesh Johari & Hannah Li & Inessa Liskovich & Gabriel Y. Weintraub, 2022. "Experimental Design in Two-Sided Platforms: An Analysis of Bias," Management Science, INFORMS, vol. 68(10), pages 7069-7089, October.

  7. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.

    Cited by:

    1. Colnet Bénédicte & Josse Julie & Varoquaux Gaël & Scornet Erwan, 2022. "Causal effect on a target population: A sensitivity analysis to handle missing covariates," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 372-414, January.
    2. Benjamin Lu & Eli Ben-Michael & Avi Feller & Luke Miratrix, 2023. "Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 420-453, August.
    3. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    4. Apoorva Lal & Wenjing Zheng & Simon Ejdemyr, 2023. "A Framework for Generalization and Transportation of Causal Estimates Under Covariate Shift," Papers 2301.04776, arXiv.org.
    5. Jacob Dorn & Kevin Guo & Nathan Kallus, 2021. "Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding," Papers 2112.11449, arXiv.org, revised Jul 2022.
    6. Ashesh Rambachan & Amanda Coston & Edward Kennedy, 2022. "Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding," Papers 2212.09844, arXiv.org, revised May 2024.

  8. Dmitry Arkhangelsky & Guido W. Imbens & Lihua Lei & Xiaoman Luo, 2021. "Design-Robust Two-Way-Fixed-Effects Regression For Panel Data," Papers 2107.13737, arXiv.org, revised Mar 2024.

    Cited by:

    1. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    2. Ursina Schaede & Ville Mankki, 2022. "Quota vs Quality? Long-Term Gains from an Unusual Gender Quota," CESifo Working Paper Series 9811, CESifo.
    3. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised Jan 2025.

  9. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.

    Cited by:

    1. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised Jan 2025.
    2. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.

  10. Susan Athey & Raj Chetty & Guido Imbens, 2020. "Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes," Papers 2006.09676, arXiv.org.

    Cited by:

    1. Xiong, Ruoxuan & Koenecke, Allison & Powell, Michael & Shen, Zhu & Vogelstein, Joshua T. & Athey, Susan, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Research Papers 3990, Stanford University, Graduate School of Business.
    2. Yechan Park & Yuya Sasaki, 2024. "Matching $\leq$ Hybrid $\leq$ Difference in Differences," Papers 2411.07952, arXiv.org, revised Feb 2025.
    3. Tatyana Deryugina & Julian Reif, 2023. "The Long-run Effect of Air Pollution on Survival," NBER Working Papers 31858, National Bureau of Economic Research, Inc.
    4. Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2022. "Partially Linear Models under Data Combination," NBER Working Papers 29953, National Bureau of Economic Research, Inc.
    5. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.
    6. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
    7. Li, Ting & Shi, Chengchun & Wen, Qianglin & Sui, Yang & Qin, Yongli & Lai, Chunbo & Zhu, Hongtu, 2024. "Combining experimental and historical data for policy evaluation," LSE Research Online Documents on Economics 125588, London School of Economics and Political Science, LSE Library.
    8. George Z. Gui, 2020. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Papers 2010.05117, arXiv.org, revised Dec 2023.
    9. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    10. Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Noah Stegehuis, 2024. "Mitigating Estimation Risk: a Data-Driven Fusion of Experimental and Observational Data," Tinbergen Institute Discussion Papers 24-066/III, Tinbergen Institute.
    11. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    12. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    13. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    14. Harsh Parikh & Marco Morucci & Vittorio Orlandi & Sudeepa Roy & Cynthia Rudin & Alexander Volfovsky, 2023. "A Double Machine Learning Approach to Combining Experimental and Observational Data," Papers 2307.01449, arXiv.org, revised Apr 2024.
    15. Xinyu Li & Wang Miao & Fang Lu & Xiao‐Hua Zhou, 2023. "Improving efficiency of inference in clinical trials with external control data," Biometrics, The International Biometric Society, vol. 79(1), pages 394-403, March.
    16. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
    17. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.

  11. Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang, 2019. "The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely," NBER Working Papers 26463, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ernesto Dal Bó & Frederico Finan & Nicholas Y. Li & Laura Schechter, 2021. "Information Technology and Government Decentralization: Experimental Evidence From Paraguay," Econometrica, Econometric Society, vol. 89(2), pages 677-701, March.
    2. John A. List & Ragan Petrie & Anya Samek, 2023. "How Experiments with Children Inform Economics," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 504-564, June.
    3. Esposito Acosta,Bruno Nicola & Sautmann,Anja, 2022. "Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya," Policy Research Working Paper Series 10098, The World Bank.
    4. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    5. Kasy, Maximilian, 2024. "The Political Economy of AI: Towards Democratic Control of the Means of Prediction," IZA Discussion Papers 16948, Institute of Labor Economics (IZA).
    6. A. Stefano Caria & Grant Gordon & Maximilian Kasy & Simon Quinn & Soha Shami & Alexander Teytelboym, 2020. "An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan," CSAE Working Paper Series 2020-20, Centre for the Study of African Economies, University of Oxford.
    7. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
    8. Kasy, Maximilian, 2023. "The Political Economy of AI: Towards Democratic Control of the Means of Prediction," SocArXiv x7pcy_v1, Center for Open Science.
    9. Mariano Tommasi, 2023. "Latin America and the Caribbean in the first quarter of the 21st century. What should be reformed, what can be reformed, and how to think about it?," Working Papers 170, Universidad de San Andres, Departamento de Economia, revised Jul 2024.
    10. Dave Donaldson, 2022. "Blending Theory and Data: A Space Odyssey," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 185-210, Summer.
    11. Barham, Tania & Cadena, Brian C. & Turner, Patrick S, 2023. "Taking a Chance on Workers: Evidence on the Effects and Mechanisms of Subsidized Employment from an RCT," IZA Discussion Papers 16221, Institute of Labor Economics (IZA).
    12. Battistin,Erich & De Nadai,Michele & Krishnan,Nandini, 2020. "The Insights and Illusions of Consumption Measurements," Policy Research Working Paper Series 9255, The World Bank.
    13. Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," CESifo Working Paper Series 11379, CESifo.
      • Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin G. Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," NBER Working Papers 32899, National Bureau of Economic Research, Inc.
    14. Yacoubou Djima, Ismael & Kilic, Talip, 2024. "Attenuating measurement errors in agricultural productivity analysis by combining objective and self-reported survey data," Journal of Development Economics, Elsevier, vol. 168(C).
    15. Toru Kitagawa & Jeff Rowley, 2024. "Bandit Algorithms for Policy Learning: Methods, Implementation, and Welfare-performance," Papers 2409.00379, arXiv.org.
    16. Zhexiao Lin & Pablo Crespo, 2024. "Variance reduction combining pre-experiment and in-experiment data," Papers 2410.09027, arXiv.org.
    17. Yixin Tang & Yicong Lin & Navdeep S. Sahni, 2023. "Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash," Papers 2311.14698, arXiv.org, revised Nov 2023.
    18. García, Jorge Luis & Heckman, James J., 2022. "Parenting Promotes Social Mobility Within and Across Generations," IZA Discussion Papers 15672, Institute of Labor Economics (IZA).
    19. Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück & Melodie Al Daccache & Dorothee Weiffen, 2023. "How to conduct impact evaluations in humanitarian and conflict settings," HiCN Working Papers 387, Households in Conflict Network.
    20. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    21. Rosenman Evan T. R. & Owen Art B., 2021. "Designing experiments informed by observational studies," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 147-171, January.
    22. Arielle Anderer & Hamsa Bastani & John Silberholz, 2022. "Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?," Management Science, INFORMS, vol. 68(3), pages 1982-2002, March.
    23. Mogstad, Magne & Salvanes, Kjell G. & Torsvik, Gaute, 2025. "Income Equality in the Nordic Countries: Myths, Facts, and Lessons," IZA Discussion Papers 17677, Institute of Labor Economics (IZA).
    24. Elizabeth Ash & William Carrington & Rebecca Heller & Grace Hwang, 2023. "Exploring the Effects of Medicaid During Childhood on the Economy and the Budget: Working Paper 2023-07," Working Papers 59231, Congressional Budget Office.
    25. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.
    26. Itzik Fadlon & Frederik Plesner Lyngse & Torben Heien Nielsen, 2022. "Early Career Setbacks and Women’s Career-Family Trade-Off," CEBI working paper series 22-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    27. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    28. Evan Munro & David Jones & Jennifer Brennan & Roland Nelet & Vahab Mirrokni & Jean Pouget-Abadie, 2023. "Causal Estimation of User Learning in Personalized Systems," Papers 2306.00485, arXiv.org.
    29. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predictive Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org.
    30. Shan Huang & Chen Wang & Yuan Yuan & Jinglong Zhao & Brocco & Zhang, 2023. "Estimating Effects of Long-Term Treatments," Papers 2308.08152, arXiv.org, revised Dec 2024.
    31. Xuan Wang & Layla Parast & Larry Han & Lu Tian & Tianxi Cai, 2023. "Robust approach to combining multiple markers to improve surrogacy," Biometrics, The International Biometric Society, vol. 79(2), pages 788-798, June.
    32. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.
    33. Ron Berman & Elea McDonnell Feit, 2024. "Latent Stratification for Incrementality Experiments," Marketing Science, INFORMS, vol. 43(4), pages 903-917, July.
    34. Susan Dynarski & CJ Libassi & Katherine Michelmore & Stephanie Owen, 2021. "Closing the Gap: The Effect of Reducing Complexity and Uncertainty in College Pricing on the Choices of Low-Income Students," American Economic Review, American Economic Association, vol. 111(6), pages 1721-1756, June.

  12. Dmitry Arkhangelsky & Guido W. Imbens, 2019. "Doubly Robust Identification for Causal Panel Data Models," Papers 1909.09412, arXiv.org, revised Feb 2022.

    Cited by:

    1. Ghirelli, Corinna & Havari, Enkelejda & Meroni, Elena Claudia & Verzillo, Stefano, 2023. "The Long-Term Causal Effects of Winning an ERC Grant," IZA Discussion Papers 16108, Institute of Labor Economics (IZA).
    2. Øyvind A. Nilsen & Arvid Raknerud, 2022. "Dynamics of first-time patenting firms," Discussion Papers 986, Statistics Norway, Research Department.
    3. Myungkou Shin, 2022. "Finitely Heterogeneous Treatment Effect in Event-study," Papers 2204.02346, arXiv.org, revised Oct 2024.
    4. Wang, Xiqian & Bian, Yong & Zhang, Qin, 2023. "The effect of cooking fuel choice on the elderly’s well-being: Evidence from two non-parametric methods," Energy Economics, Elsevier, vol. 125(C).
    5. Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2021. "Revisiting Event Study Designs: Robust and Efficient Estimation," Papers 2108.12419, arXiv.org, revised Jan 2024.
    6. Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
    7. Dmitry Arkhangelsky & Guido W. Imbens & Lihua Lei & Xiaoman Luo, 2021. "Design-Robust Two-Way-Fixed-Effects Regression For Panel Data," Papers 2107.13737, arXiv.org, revised Mar 2024.
    8. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    9. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    10. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    11. Albert Chiu & Xingchen Lan & Ziyi Liu & Yiqing Xu, 2023. "Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study," Papers 2309.15983, arXiv.org, revised Mar 2025.
    12. Bassier, Ihsaan, 2022. "Collective bargaining and spillovers in local labor markets," LSE Research Online Documents on Economics 118057, London School of Economics and Political Science, LSE Library.
    13. Ihsaan Bassier, 2022. "Collective bargaining and spillovers in local labor markets," CEP Discussion Papers dp1895, Centre for Economic Performance, LSE.

  13. Guido Imbens, 2019. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," NBER Working Papers 26104, National Bureau of Economic Research, Inc.

    Cited by:

    1. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    2. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    3. Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
    4. Öberg, Stefan, 2019. "Too LATE for Natural Experiments: A Critique of Local Average Treatment Effects Using the Example of Angrist and Evans (1998)," Göteborg Papers in Economic History 25, University of Gothenburg, Unit for Economic History.
    5. Barrera, Emiliano Lopez & Miljkovic, Dragan, 2022. "The link between the two epidemics provides an opportunity to remedy obesity while dealing with Covid-19," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 280-297.
    6. {O}yvind Hoveid, 2021. "Constructing valid instrumental variables in generalized linear causal models from directed acyclic graphs," Papers 2102.08056, arXiv.org.
    7. Philipp F. M. Baumann & Michael Schomaker & Enzo Rossi, 2020. "Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation," Papers 2003.02208, arXiv.org, revised May 2021.
    8. Emmet Hall-Hoffarth, 2022. "Causal Discovery of Macroeconomic State-Space Models," Papers 2204.02374, arXiv.org.
    9. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
    10. Loschiavo, David, 2021. "Big-city life (dis)satisfaction? The effect of urban living on subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 740-764.
    11. Aurelien Quignon, 2022. "Market Regulation and Innovation: Direct and Indirect Effects," Journal of Industry, Competition and Trade, Springer, vol. 22(3), pages 429-456, December.
    12. Cengiz, Doruk & Tekgüç, Hasan, 2024. "Counterfactual reconciliation: Incorporating aggregation constraints for more accurate causal effect estimates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 564-580.
    13. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    14. Christoph Breunig & Patrick Burauel, 2021. "Testability of Reverse Causality Without Exogenous Variation," Papers 2107.05936, arXiv.org, revised Apr 2024.
    15. Leonardo Marinho, 2022. "Causal Impulse Responses for Time Series," Working Papers Series 570, Central Bank of Brazil, Research Department.
    16. Roberto Esposti, 2022. "Non-Monetary Motivations Of Agroenvironmental Policies Adoption. A Causal Forest Approach," Working Papers 459, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    17. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
    18. Kuschnig, Nikolas & Vashold, Lukas, 2023. "The economic impacts of malaria: past, present, and future," Department of Economics Working Paper Series 338, WU Vienna University of Economics and Business.
    19. Mo, Bin & Nie, He & Zhao, Rongjie, 2024. "Dynamic nonlinear effects of geopolitical risks on commodities: Fresh evidence from quantile methods," Energy, Elsevier, vol. 288(C).
    20. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    21. Bingbo Gao & Jianyu Yang & Ziyue Chen & George Sugihara & Manchun Li & Alfred Stein & Mei-Po Kwan & Jinfeng Wang, 2023. "Causal inference from cross-sectional earth system data with geographical convergent cross mapping," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    22. Loftus, Joshua R., 2024. "Position: the causal revolution needs scientific pragmatism," LSE Research Online Documents on Economics 125578, London School of Economics and Political Science, LSE Library.
    23. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    24. Jeannette Money, 2025. "The Politics of Migration in the 21st Century: Employing Systemism to Advance Research Strategies," Social Sciences, MDPI, vol. 14(2), pages 1-19, February.
    25. Vikram Dayal & Anand Murugesan, 2020. "Demystifying causal inference: ingredients of a recipe," IEG Working Papers 393, Institute of Economic Growth.
    26. Barnor, Kodjo & Caton, James & Miljkovic, Dragan, 2023. "The role of funding on research and science: The impact of glyphosate herbicides on health and the environment," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 103-120.
    27. Shishir Shakya & Nabamita Dutta, 2024. "How Individualism Influences Female Financial Inclusion through Education: Evidence from Historical Prevalence of Infectious Diseases," Working Papers 24-03, Department of Economics, Appalachian State University.
    28. Shishir Shakya & Nabamita Dutta, 2024. "How Individualism Influences Female Financial Inclusion through Education: Evidence from Historical Prevalence of Infectious Diseases," Working Papers 24-07, Department of Economics, Appalachian State University.
    29. Andrew Ellis & Heidi Christina Thysen, 2021. "Subjective Causality in Choice," Papers 2106.05957, arXiv.org, revised Mar 2025.
    30. Kulkarni, Nirupama & Malmendier, Ulrike, 2022. "Homeownership segregation," Journal of Monetary Economics, Elsevier, vol. 129(C), pages 123-149.
    31. Nadia Jacobi & Vito Amendolagine, 2023. "What feeds on what? Networks of interdependencies between culture and institutions," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(2), pages 371-412, July.
    32. Pablo Geraldo Bast'ias, 2024. "Credible causal inference beyond toy models," Papers 2402.11659, arXiv.org.
    33. Jiawei Fu, 2024. "Extracting Mechanisms from Heterogeneous Effects: An Identification Strategy for Mediation Analysis," Papers 2403.04131, arXiv.org, revised Oct 2024.
    34. Neil Christy & Amanda Ellen Kowalski, 2024. "Counting Defiers in Health Care: A Design-Based Model of an Experiment Can Reveal Evidence Against Monotonicity," Papers 2412.16352, arXiv.org, revised Mar 2025.
    35. Lenzen, Sabrina & Gannon, Brenda & Rose, Christiern & Norton, Edward C., 2023. "The relationship between physical activity, cognitive function and health care use: A mediation analysis," Social Science & Medicine, Elsevier, vol. 335(C).
    36. Martin Huber, 2024. "An introduction to causal discovery," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-16, December.
    37. Jin Li & Ye Luo & Zigan Wang & Xiaowei Zhang, 2021. "Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity," Papers 2103.04021, arXiv.org, revised Dec 2024.
    38. Emil Aas Stoltenberg, 2022. "Regression discontinuity design with right-censored survival data," Papers 2210.02548, arXiv.org.
    39. Chen, Lifeng & Wang, Kaifeng, 2022. "The spatial spillover effect of low-carbon city pilot scheme on green efficiency in China's cities: Evidence from a quasi-natural experiment," Energy Economics, Elsevier, vol. 110(C).
    40. Marc F. Bellemare & Jeffrey R. Bloem & Noah Wexler, 2024. "The Paper of How: Estimating Treatment Effects Using the Front‐Door Criterion," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 951-993, August.
    41. Miljkovic, Dragan & Goetz, Cole, 2022. "Futures markets and price stabilisation: An analysis of soybeans markets in North America," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(01), December.
    42. Ali Tafti & Galit Shmueli, 2020. "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure," Information Systems Research, INFORMS, vol. 31(4), pages 1183-1199, December.
    43. Öberg, Stefan, 2021. "Treatment for natural experiments: How to improve causal estimates using conceptual definitions and substantive interpretations," SocArXiv pkyue, Center for Open Science.
    44. Capra, C. Mónica & Jiang, Bing & Su, Yuxin, 2021. "Altruistic self-concept mediates the effects of personality traits on volunteering: Evidence from an online experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    45. Alberto Bisin & Andrea Moro, 2020. "LATE for History," NBER Working Papers 28113, National Bureau of Economic Research, Inc.
    46. Cengiz, Doruk & Tekgüç, Hasan, 2022. "Counterfactual Reconciliation: Incorporating Aggregation Constraints For More Accurate Causal Effect Estimates," MPRA Paper 114478, University Library of Munich, Germany.
    47. Hernando Grueso, 2023. "Unveiling the Causal Mechanisms Within Multidimensional Poverty," Evaluation Review, , vol. 47(6), pages 1107-1134, December.
    48. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Uncertainty matters in US financial information spillovers: Evidence from a directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 229-242.
    49. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
    50. Neil Christy & A. E. Kowalski, 2024. "Starting Small: Prioritizing Safety over Efficacy in Randomized Experiments Using the Exact Finite Sample Likelihood," Papers 2407.18206, arXiv.org.

  14. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference in Differences," Working Papers wp2019_1907, CEMFI.

    Cited by:

    1. Adolfsen, Jakob Feveile & Heissel, Malte & Manu, Ana-Simona & Vinci, Francesca, 2024. "Burn now or never? Climate change exposure and investment of fossil fuel firms," Working Paper Series 2945, European Central Bank.
    2. Carter, Colin A. & Steinbach, Sandro, 2024. "Did grain futures prices overreact to the Russia–Ukraine war due to herding?," Journal of Commodity Markets, Elsevier, vol. 35(C).
    3. Lijun Ma & Cong Liu & Yong Zhan, 2024. "How smart city construction affects destination tourism efficiency," Tourism Economics, , vol. 30(6), pages 1600-1623, September.
    4. Bidisha Lahiri & Anurag Deb, 2022. "Impact of the Indian “demonetization” policy on its export performance," Empirical Economics, Springer, vol. 62(6), pages 2799-2825, June.
    5. Gregory DeAngelo & Rainita Narender & Rustam Romaniuc, 2024. "Nudging law enforcement: evidence from low priority initiatives," European Journal of Law and Economics, Springer, vol. 58(2), pages 321-354, October.
    6. Gao, Yihong & Gao, Jiayan, 2023. "Low-carbon transformation and corporate cash holdings," Finance Research Letters, Elsevier, vol. 54(C).
    7. Yu-Kai Huang & Richard T. Woodward, 2022. "Spillover Effects of Grocery Bag Legislation: Evidence of Bag Bans and Bag Fees," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 711-741, April.
    8. Yang Haodong & Liu Jialin & Wang Gaofeng, 2025. "Knowledge Innovation Effect of University Computing Power in China: Evidence from the top500 Supercomputers," Research in Higher Education, Springer;Association for Institutional Research, vol. 66(1), pages 1-30, February.
    9. Michelle Marcus & Pedro H. C. Sant’Anna, 2021. "The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
    10. Müller-Tribbensee, Timo & Miller, Klaus M. & Skiera, Bernd, 2024. "Paying for Privacy: Pay-or-Tracking Walls," HEC Research Papers Series 1514, HEC Paris.
    11. Sadeghi, Ali & Kibler, Ewald, 2022. "Do bankruptcy laws matter for entrepreneurship? A Synthetic Control Method analysis of a bankruptcy reform in Finland," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
    12. Quoc-Anh Do & Roberto Galbiati & Benjamin Marx & Miguel A. Ortiz-Serrano, 2023. "J’Accuse! Antisemitism and Financial Markets in the Time of the Dreyfus Affair," CESifo Working Paper Series 10748, CESifo.
    13. Prem, M & González, F, 2021. "Police Repression And Protest Behavior: Evidence From Student Protests In Chile," Documentos de Trabajo 18672, Universidad del Rosario.
    14. Gabrielle Pepin, 2022. "The effects of welfare time limits on access to financial resources: Evidence from the 2010s," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1343-1372, April.
    15. Alex Oktay, 2022. "Heterogeneity in the exchange rate pass-through to consumer prices: the Swiss franc appreciation of 2015," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-20, December.
    16. Prem, M & Guerra, M. E. & Rodríguez, P & Vargas, J. F., 2020. "The Peace Baby Boom: Evidence from Colombia’s peace agreement with the FARC," Documentos de Trabajo 18430, Universidad del Rosario.
    17. Masi, Tania & Savoia, Antonio & Sen, Kunal, 2024. "Is there a fiscal resource curse? Resource rents, fiscal capacity and political institutions in developing economies," World Development, Elsevier, vol. 177(C).
    18. Craig Wesley Carpenter & Kristopher Deming & John Anders & Michael Lotspeich‐Yadao & Charles M. Tolbert & Adam Ingrao, 2024. "Do payday lending bans protect or constrain regional economies? Evidence from the Military Lending Act's final rule," Contemporary Economic Policy, Western Economic Association International, vol. 42(2), pages 319-335, April.
    19. Kraynak,Daniel Christopher & Timilsina,Govinda R. & Alberini,Anna, 2024. "The Effect of Pricing Instruments on CO2 Emissions: Empirical Evidence from Australia," Policy Research Working Paper Series 10812, The World Bank.
    20. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    21. Mantovani, Andrea & Reggiani, Carlo & Broocks, Annette & Duch-Brown, Nestor & Ma, Peiyao, 2022. "The Price Effects of Banning Price Parity Clauses in the EU: Evidence from International Hotel Groups," TSE Working Papers 22-1371, Toulouse School of Economics (TSE).
    22. Mbanyele, William & Huang, Hongyun & Muchenje, Linda T. & Zhao, Jun, 2024. "How does climate regulatory risk influence labor employment decisions? Evidence from a quasi-natural experiment," China Economic Review, Elsevier, vol. 87(C).
    23. Li, Jay Y. & Tang, Dragon Yongjun, 2022. "Product market competition with CDS," Journal of Corporate Finance, Elsevier, vol. 73(C).
    24. Coricelli, Fabrizio & Campos, Nauro & Franceschi, Emanuele, 2021. "Institutional Integration and Productivity Growth: Evidence from the 1995 Enlargement of the European Union," CEPR Discussion Papers 16696, C.E.P.R. Discussion Papers.
    25. Chunying Cui & Ziwei Yan, 2023. "Does the Digital Economy Promote Domestic Non-Tradable Sectors?: Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    26. Kauhanen, Antti & Rouvinen, Petri, 2024. "Assessing Early Labor Market Effects of Generative AI - Evidence from Population Data," ETLA Working Papers 121, The Research Institute of the Finnish Economy.
    27. Deng, Lijing & Lu, Yue & Tang, Yao, 2024. "Does FDI increase product innovation of domestic firms? Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 1-24.
    28. Myungkou Shin, 2022. "Finitely Heterogeneous Treatment Effect in Event-study," Papers 2204.02346, arXiv.org, revised Oct 2024.
    29. Di, Wenhua & Pattison, Nathaniel, 2023. "Industry Specialization and Small Business Lending," Journal of Banking & Finance, Elsevier, vol. 149(C).
    30. Pekka Malo & Juha Eskelinen & Xun Zhou & Timo Kuosmanen, 2024. "Computing Synthetic Controls Using Bilevel Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1113-1136, August.
    31. Robert Messerle & Jonas Schreyögg, 2024. "Country-level effects of diagnosis-related groups: evidence from Germany’s comprehensive reform of hospital payments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 1013-1030, August.
    32. Nicolás de Roux & Evan Riehl, 2020. "Disrupted Academic Careers: The Returns to Time Off after High School," Documentos CEDE 18417, Universidad de los Andes, Facultad de Economía, CEDE.
    33. Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.
    34. Posso, Alberto, 2023. "Bilingual education and child labor: Lessons from Peru," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 840-872.
    35. Povilas Lastauskas & Julius Stakėnas, 2022. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 217-241, Emerald Group Publishing Limited.
    36. Zhang, Ning & Wang, Shuo, 2024. "Can China's regional carbon market pilots improve power plants' energy efficiency?," Energy Economics, Elsevier, vol. 129(C).
    37. Francesco S. Bellelli & Ankai Xu, 2024. "The Impact of Environmental Measures on Trade and Innovation: Evidence from the WTO Environmental Database (EDB)," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(10), pages 2629-2682, October.
    38. Palsson, Craig, 2023. "The forces of path dependence: Haiti's refugee camps, 1937–2009," Explorations in Economic History, Elsevier, vol. 89(C).
    39. Scavette, Adam, 2023. "The economic impact of a casino monopoly: Evidence from Atlantic City," Regional Science and Urban Economics, Elsevier, vol. 103(C).
    40. Enrich, Jacint & Li, Ruoyi & Mizrahi, Alejandro & Reguant, Mar, 2024. "Measuring the impact of time-of-use pricing on electricity consumption: Evidence from Spain," Journal of Environmental Economics and Management, Elsevier, vol. 123(C).
    41. Liu, Ruiming & Yan, Haosheng & Zhang, Zebang, 2024. "Does historic preservation affect firms' output? Evidence from the awarding of the Historic City title in China," China Economic Review, Elsevier, vol. 85(C).
    42. Aaron Adalja & Jūra Liaukonytė & Emily Wang & Xinrong Zhu, 2023. "GMO and Non-GMO Labeling Effects: Evidence from a Quasi-Natural Experiment," Marketing Science, INFORMS, vol. 42(2), pages 233-250, March.
    43. Mohammad Reza Farzanegan, 2021. "Years of Life Lost to Revolution and War in Iran," CESifo Working Paper Series 9063, CESifo.
    44. Sanat, Lyazzat & Rejesus, Roderick M., 2024. "Understanding the Impact of State Cost Share Programs on Cover Crop Adoption Rates," 2024 Annual Meeting, July 28-30, New Orleans, LA 344077, Agricultural and Applied Economics Association.
    45. Giovanni Baiocchetti & Cecilia Castaldo & Ilan Noy & Federico Zampollo, 2025. "The Adverse Impacts of Disasters In-Name-Only," CESifo Working Paper Series 11681, CESifo.
    46. Augusto Cerqua & Roberta Di Stefano & Guido Pellegrini, 2023. "What kind of region reaps the benefits of a currency union?," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 552-582, June.
    47. Liu, Min & Xu, Wenli & Zhang, Hangyu & Chen, Huang & Bie, Qiang & Han, Guodong & Yu, Xiaohua, 2022. "Livestock production, greenhouse gas emissions, air pollution, and grassland conservation: Quasi-natural experimental evidence," MPRA Paper 115704, University Library of Munich, Germany.
    48. Sager, Lutz & Singer, Gregor, 2025. "Clean identification? The effects of the clean air act on air pollution, exposure disparities and house prices," LSE Research Online Documents on Economics 121984, London School of Economics and Political Science, LSE Library.
    49. Guy Aridor & Yeon-Koo Che & Brett Hollenbeck & Maximilian Kaiser & Daniel McCarthy, 2024. "Evaluating the Impact of Privacy Regulation on E-Commerce Firms: Evidence from Apple’s App Tracking Transparency," CESifo Working Paper Series 10928, CESifo.
    50. Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
    51. Lucie Coufalová & Fanny H. Dellinger & Peter Huber & Štěpán Mikula, 2024. "Borders and Population Growth: Evidence from a Century of Border Regime Changes on the Austrian-Czech Border," MUNI ECON Working Papers 2024-03, Masaryk University.
    52. Arboleda Cárcamo, David, 2024. "Fitting a Curve to the Pre-Trends," Documentos CEDE 21199, Universidad de los Andes, Facultad de Economía, CEDE.
    53. Joan Monras & Jose G. Montalvo, 2023. "The Effect of Second-Generation Rent Controls: New Evidence from Catalonia," Working Paper Series 2023-28, Federal Reserve Bank of San Francisco.
    54. Misina Cato & Olga Francová, 2025. "The distributional implications of the euro area crisis: Evidence from macroeconomic adjustment in Greece and Portugal," Working Papers 67, European Stability Mechanism, revised 10 Jan 2025.
    55. Jiang, Hongli & Hu, Wenjie & Guo, Ziqing & Hou, Yan & Chen, Tingqiang, 2024. "E-commerce development and carbon emission efficiency: Evidence from 240 cities in China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 586-603.
    56. Aleksei Chernulich & Romain Gauriot & Daehong Min, 2023. "Endogenous Tracking: Sorting and Peer Effects," Working Papers 20230084, New York University Abu Dhabi, Department of Social Science, revised Jan 2023.
    57. Abman, Ryan & Longbrake, Gabrial, 2023. "Resource development and governance declines: The case of the Chad–Cameroon petroleum pipeline," Energy Economics, Elsevier, vol. 117(C).
    58. Matthew Cefalu & Brian G. Vegetabile & Michael Dworsky & Christine Eibner & Federico Girosi, 2020. "Reducing bias in difference-in-differences models using entropy balancing," Papers 2011.04826, arXiv.org.
    59. Claudia Shi & Dhanya Sridhar & Vishal Misra & David M. Blei, 2021. "On the Assumptions of Synthetic Control Methods," Papers 2112.05671, arXiv.org, revised Dec 2021.
    60. Veronica Leoni & David Boto-García, 2023. "The Effect of Natural Disasters on Hotel Demand, Supply and Labour Markets: Evidence from the La Palma Volcano Eruption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 755-780, December.
    61. Li, Rui & Fang, Debin & Xu, Jiajun, 2024. "Does China's carbon inclusion policy promote household carbon emissions reduction? Theoretical mechanisms and empirical evidence," Energy Economics, Elsevier, vol. 132(C).
    62. Carter, Colin A. & Steinbach, Sandro & Zhuang, Xiting, 2022. "Global Shipping Container Disruptions and U.S. Agricultural Exports," Working Papers 320397, International Agricultural Trade Research Consortium.
    63. Cummins Joseph & Miller Douglas L. & Smith Brock & Simon David, 2024. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 67-95, January.
    64. Loukas Karabarbounis & Jeremy Lise & Anusha Nath, 2022. "Minimum Wages and Labor Markets in the Twin Cities," NBER Working Papers 30239, National Bureau of Economic Research, Inc.
    65. Fohlin, Caroline & Lu, Zhikun & Zhou, Nan, 2022. "Short sale bans may improve market quality during crises: New evidence from the 2020 Covid," SAFE Working Paper Series 365, Leibniz Institute for Financial Research SAFE.
    66. Sun, Xing & Lin, Minzhen & Zhong, Huaming, 2024. "The motivation and impact of polluting Enterprises' diversifications: Quasi-natural experiments from environmental protection interview," Energy Economics, Elsevier, vol. 129(C).
    67. Songnian Chen & Junlong Feng, 2023. "Group-Heterogeneous Changes-in-Changes and Distributional Synthetic Controls," Papers 2307.15313, arXiv.org.
    68. Cannon Cloud & Simon He{ss} & Johannes Kasinger, 2022. "Do shared e-scooter services cause traffic accidents? Evidence from six European countries," Papers 2209.06870, arXiv.org, revised Sep 2022.
    69. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
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    72. Belarouci, Matthieu & Vaillant, Nicolas & Wolff, François-Charles, 2024. "Did the French reform of the judicial map affect conciliation activities?," International Review of Law and Economics, Elsevier, vol. 77(C).
    73. Yongbin Huang & Hai Hong, 2023. "The heterogeneous impact of house purchase limits policy on housing prices: Comparison between elite and non‐elite school district houses," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(5), pages 1055-1078, September.
    74. Augusto Cerqua & Marco Letta & Fiammetta Menchetti, 2023. "Causal inference and policy evaluation without a control group," Papers 2312.05858, arXiv.org, revised Oct 2024.
    75. Hobbs, Duncan & Strain, Michael R., 2024. "Do Reemployment Bonuses Increase Employment? Evidence from the Idaho Return to Work Bonus Program," IZA Discussion Papers 16924, Institute of Labor Economics (IZA).
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    78. Barney Hartman‐Glaser & Mark Thibodeau & Jiro Yoshida, 2023. "Cash to spend: IPO wealth and house prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(1), pages 68-102, January.
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    81. Guangdong Li & Chuanglin Fang & James E. M. Watson & Siao Sun & Wei Qi & Zhenbo Wang & Jianguo Liu, 2024. "Mixed effectiveness of global protected areas in resisting habitat loss," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    82. Uchechukwu Jarrett & Hamid Mohtadi, 2023. "Understanding the globalization‐crisis linkage: A “differenced” approach," Review of International Economics, Wiley Blackwell, vol. 31(5), pages 1616-1640, November.
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    222. Amalia R. Miller & Kamalini Ramdas & Alp Sungu, 2023. "Browsers Don’t Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use," NBER Working Papers 31919, National Bureau of Economic Research, Inc.
    223. Dor Leventer & Daniel Nevo, 2024. "Correcting invalid regression discontinuity designs with multiple time period data," Papers 2408.05847, arXiv.org, revised Feb 2025.
    224. Ying Xiong & Shengsheng Li, 2022. "Can the Establishment of University Science and Technology Parks Promote Urban Innovation? Evidence from China," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    225. Porreca, Zachary, 2022. "Synthetic difference-in-differences estimation with staggered treatment timing," Economics Letters, Elsevier, vol. 220(C).
    226. Roberto Esposti, 2022. "The Coevolution of Policy Support and Farmers' Behaviour. An investigation on Italian agriculture over the 2008-2019 period," Working Papers 464, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    227. Borbely, Daniel, 2022. "The impact of housing subsidy cuts on the labour market outcomes of claimants: Evidence from England," Journal of Housing Economics, Elsevier, vol. 57(C).
    228. Coy, Felipe, 2024. "A Farewell to Arms: Paramilitaries Demobilization, Political Competition and Public Goods in Colombia," Journal of Development Economics, Elsevier, vol. 171(C).
    229. Liu, Ning & Bao, Guoxian & Wu, Shaolong, 2023. "Social implications of Covid-19: Its impact on general trust, political trust, and trust in physicians in China," Social Science & Medicine, Elsevier, vol. 317(C).
    230. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    231. Dionne, Georges & Fenou, Akouété & Mnasri, Mohamed, 2024. "Insurers’ M&A in the United States during the 1990-2022 period: Is the Fed monetary policy a causal factor," Working Papers 24-2, HEC Montreal, Canada Research Chair in Risk Management, revised 16 Jul 2024.
    232. Li, Yuan & Yi, Yuyao & Li, Xiaofan & Tao, Yunqing, 2024. "Do error-tolerance and correction mechanisms enhance the performance of state-owned enterprises in China?," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    233. Kotsogiannis, Christos & Salvadori, Luca & Karangwa, John & Mukamana, Theonille, 2024. "Do tax audits have a dynamic impact? Evidence from corporate income tax administrative data," Journal of Development Economics, Elsevier, vol. 170(C).
    234. Carmen Villa, 2024. "The effects of youth clubs on education and crime," IFS Working Papers W24/51, Institute for Fiscal Studies.
    235. Daniel de Abreu Pereira Uhr & Felipe Weizenmann & Julia Gallego Ziero Uhr, 2024. "The impact of the Economic Adjustment Programme for Ireland: a synthetic control approach," Economics and Business Letters, Oviedo University Press, vol. 13(2), pages 82-90.
    236. Crudu, Federico & Di Stefano, Roberta & Mellace, Giovanni & Tiezzi, Silvia, 2024. "The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives," Labour Economics, Elsevier, vol. 89(C).
    237. Florian Gunsilius, 2020. "Distributional synthetic controls," Papers 2001.06118, arXiv.org, revised Dec 2021.
    238. He, Peiming & Zhang, Jiaming & Xu, Xuelu & Lin, Chuan & Chen, Litai, 2024. "Unintended environmental gains: The impact of China–Europe Railway Express on carbon dioxide emissions in China," Transport Policy, Elsevier, vol. 153(C), pages 127-140.
    239. Zhang, Zhenhua & Wang, Jing & Feng, Chao & Chen, Xi, 2023. "Do pilot zones for green finance reform and innovation promote energy savings? Evidence from China," Energy Economics, Elsevier, vol. 124(C).
    240. Lee, Siha & Liu, Sitian, 2024. "Fertility incentives in Canada: A cohort analysis," CLEF Working Paper Series 75, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    241. Husodo, Zaäfri A. & Raz, Arisyi F. & Danarsari, Dwi Nastiti, 2024. "The bind and the slack of Basel III liquidity regulations: Evidence from Indonesia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 96(C).
    242. Lihua Lei & Timothy Sudijono, 2024. "Inference for Synthetic Controls via Refined Placebo Tests," Papers 2401.07152, arXiv.org, revised Apr 2024.
    243. Cui, Shuhui & Li, Guangqin & Liu, Jiashu, 2024. "Can the construction of smart cities promote the capital allocation efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    244. Henry Saffer & Selen Ozdogan & Michael Grossman & Daniel L. Dench & Dhaval M. Dave, 2024. "Comprehensive E-cigarette Flavor Bans and Tobacco Use among Youth, Young Adults, and Adults," NBER Working Papers 32534, National Bureau of Economic Research, Inc.
    245. Adam Scavette, 2024. "Aerospace Place-Based Policy: The Impact of Boeing on South Carolina's Aerospace Industry," Economic Development Quarterly, , vol. 38(4), pages 302-315, November.
    246. Sylvia Klosin, 2024. "Dynamic Biases of Static Panel Data Estimators," Papers 2410.16112, arXiv.org.

  15. Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.

    Cited by:

    1. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.
    2. Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
    3. Jesus Fernandez-Villaverde, 2020. "Simple Rules for a Complex World with Arti?cial Intelligence," PIER Working Paper Archive 20-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    4. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers 2110.06763, arXiv.org, revised Oct 2022.
    5. Jonas Metzger, 2022. "Adversarial Estimators," Papers 2204.10495, arXiv.org, revised Jun 2022.
    6. Allison Koenecke & Hal Varian, 2020. "Synthetic Data Generation for Economists," Papers 2011.01374, arXiv.org, revised Nov 2020.
    7. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
    8. Tengyuan Liang, 2020. "How Well Generative Adversarial Networks Learn Distributions," Working Papers 2020-154, Becker Friedman Institute for Research In Economics.
    9. Jesus Fernandez-Villaverde, 2021. "Has Machine Learning Rendered Simple Rules Obsolete?," PIER Working Paper Archive 21-008, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Christian M. Dahl & Torben S. D. Johansen & Emil N. S{o}rensen & Christian E. Westermann & Simon F. Wittrock, 2021. "Applications of Machine Learning in Document Digitisation," Papers 2102.03239, arXiv.org.
    11. Jiaying Gu & Roger Koenker, 2020. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Papers 2012.12550, arXiv.org, revised Sep 2021.
    12. Kevin Han & Han Wu & Linjia Wu & Yu Shi & Canyao Liu, 2024. "Estimating Treatment Effects Using Observational Data and Experimental Data with Non-Overlapping Support," Econometrics, MDPI, vol. 12(3), pages 1-11, September.
    13. Chen, Jiafeng & Chen, Xiaohong & Tamer, Elie, 2023. "Efficient estimation of average derivatives in NPIV models: Simulation comparisons of neural network estimators," Journal of Econometrics, Elsevier, vol. 235(2), pages 1848-1875.
    14. Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation of Average Derivatives in NPIV Models: Simulation Comparisons of Neural Network Estimators," Cowles Foundation Discussion Papers 2319, Cowles Foundation for Research in Economics, Yale University.
    15. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    16. Christian M. Dahl & Emil N. S{o}rensen, 2021. "Time Series (re)sampling using Generative Adversarial Networks," Papers 2102.00208, arXiv.org.
    17. Yves-C'edric Bauwelinckx & Jan Dhaene & Tim Verdonck & Milan van den Heuvel, 2023. "On the causality-preservation capabilities of generative modelling," Papers 2301.01109, arXiv.org.

  16. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.

    Cited by:

    1. Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," Papers 2010.08463, arXiv.org, revised Nov 2021.
    2. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    3. Sophie-Charlotte Klose & Johannes Lederer, 2020. "A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics," Papers 2006.12296, arXiv.org, revised Jun 2020.
    4. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    5. TELLO, Mario D., 2024. "Inversión Pública En Infraestructura Y Crecimiento Regional En Perú, 2005-2020: Un Análisis Basado En Técnicas De Aprendizaje Automático Causal," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 24(2), pages 195-222.
    6. Uguccioni, James, 2022. "The long-run effects of parental unemployment in childhood," CLEF Working Paper Series 45, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    7. Gavoille, Nicolas & Zasova, Anna, 2023. "What we pay in the shadows: Labor tax evasion, minimum wage hike and employment," Journal of Public Economics, Elsevier, vol. 228(C).
    8. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2023. "Optimal Price Targeting," Marketing Science, INFORMS, vol. 42(3), pages 476-499, May.
    10. Patrick Lehnert & Michael Niederberger & Uschi Backes-Gellner & Eric Bettinger, 2020. "Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space," Economics of Education Working Paper Series 0165, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
    11. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
    12. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    13. Labib Shami & Teddy Lazebnik, 2024. "Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1459-1476, April.
    14. Liyang Tang, 2020. "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers 2005.08735, arXiv.org.
    15. Jean-Sauveur Ay & Julie Le Gallo, 2021. "The signaling value of nested wine names," Post-Print hal-03268014, HAL.
    16. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
    17. Daniel Levy & Tamir Mayer & Alon Raviv, 2022. "Economists in the 2008 Financial Crisis: Slow to See, Fast to Act," Working Paper series 22-04, Rimini Centre for Economic Analysis.
    18. Gianluca Stefani & Mario Biggeri & Lucia Ferrone, 2022. "Sustainable Transitions Narratives: An Analysis of the Literature through Topic Modelling," Sustainability, MDPI, vol. 14(4), pages 1-25, February.
    19. Stefania Albanesi & Domonkos F. Vamossy, 2019. "Predicting Consumer Default: A Deep Learning Approach," NBER Working Papers 26165, National Bureau of Economic Research, Inc.
    20. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.
    21. Daniel Garcia & Juha Tolvanen & Alexander K. Wagner, 2022. "Demand Estimation Using Managerial Responses to Automated Price Recommendations," Management Science, INFORMS, vol. 68(11), pages 7918-7939, November.
    22. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
    23. Hlasny, Vladimir & Ceriani, Lidia & Verme, Paolo, 2020. "Bottom incomes and the measurement of poverty and inequality," GLO Discussion Paper Series 519, Global Labor Organization (GLO).
    24. Maximilian Maurice Gail & Phil-Adrian Klotz, 2021. "The Impact of the Agency Model on E-book Prices: Evidence from the UK," MAGKS Papers on Economics 202111, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    25. Andreu Arenas & Caterina Calsamiglia, 2023. "Gender Differences in High-Stakes Performance and College Admission Policies," Working Papers 2023/13, Institut d'Economia de Barcelona (IEB).
    26. Adamczyk, Willian Boschetti & Monasterio, Leonardo & Fochezatto, Adelar, 2021. "Automation in the future of public sector employment: the case of Brazilian Federal Government," Technology in Society, Elsevier, vol. 67(C).
    27. Igor Sadoune & Andrea Lodi & Marcelin Joanis, 2022. "Implementing a Hierarchical Deep Learning Approach for Simulating Multi-Level Auction Data," Papers 2207.12255, arXiv.org, revised Feb 2024.
    28. Prashant Garg & Thiemo Fetzer, 2024. "Causal Claims in Economics," CESifo Working Paper Series 11462, CESifo.
    29. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, Institute of Labor Economics (IZA).
    30. Mueller, Hannes & Rauh, Christopher, 2019. "The Hard Problem of Prediction for Conflict Prevention," CEPR Discussion Papers 13748, C.E.P.R. Discussion Papers.
    31. Chen, Ruoyu & Jiang, Hanchen & Quintero, Luis E., 2023. "Measuring the value of rent stabilization and understanding its implications for racial inequality: Evidence from New York City," Regional Science and Urban Economics, Elsevier, vol. 103(C).
    32. Lionel Fontagn'e & Francesca Micocci & Armando Rungi, 2024. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Papers 2407.07652, arXiv.org, revised Feb 2025.
    33. Dang, Hai-Anh H & Carletto, Calogero & Gourlay, Sydney & Abanokova, Kseniya, 2024. "Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda," IZA Discussion Papers 17064, Institute of Labor Economics (IZA).
    34. Gallego, J & Rivero, G & Martínez, J.D., 2018. "Preventing rather than Punishing: An Early Warning Model of Malfeasance in Public Procurement," Documentos de Trabajo 16724, Universidad del Rosario.
    35. Ravi Kumar & Shahin Boluki & Karl Isler & Jonas Rauch & Darius Walczak, 2022. "Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing," Papers 2205.01875, arXiv.org, revised Dec 2022.
    36. Ba Chu & Shafiullah Qureshi, 2021. "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Carleton Economic Papers 21-12, Carleton University, Department of Economics.
    37. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2024. "Econometrics of machine learning methods in economic forecasting," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 10, pages 246-273, Edward Elgar Publishing.
    38. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    39. Lee, Wang-Sheng & Tran, Trang My & Yu, Lamont Bo, 2023. "Green infrastructure and air pollution: Evidence from highways connecting two megacities in China," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    40. Hurley, James & Karmakar, Sudipto & Markoska, Elena & Walczak, Eryk & Walker, Danny, 2021. "Impacts of the Covid-19 crisis: evidence from 2 million UK SMEs," Bank of England working papers 924, Bank of England.
    41. Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
    42. Sonan Memon, 2021. "Machine Learning for Economists: An Introduction," PIDE Knowledge Brief 2021:33, Pakistan Institute of Development Economics.
    43. Arthur Charpentier & Romuald Elie & Carl Remlinger, 2020. "Reinforcement Learning in Economics and Finance," Papers 2003.10014, arXiv.org.
    44. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    45. Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
    46. Arellano-Bover, Jaime & Saltiel, Fernando, 2023. "Differences in On-the-Job Learning across Firms," CAGE Online Working Paper Series 670, Competitive Advantage in the Global Economy (CAGE).
    47. Dangxing Chen & Luyao Zhang, 2023. "Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance," Papers 2301.07060, arXiv.org.
    48. Ballestar, María Teresa & Mir, Miguel Cuerdo & Pedrera, Luis Miguel Doncel & Sainz, Jorge, 2024. "Effectiveness of tutoring at school: A machine learning evaluation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    49. Bollerslev, Tim & Patton, Andrew J. & Zhang, Haozhe, 2022. "Equity clusters through the lens of realized semicorrelations," Economics Letters, Elsevier, vol. 211(C).
    50. Kumar, Pradeep & Nicodemo, Catia & Oreffice, Sonia & Quintana-Domeque, Climent, 2024. "Machine Learning and Multiple Abortions," IZA Discussion Papers 17046, Institute of Labor Economics (IZA).
    51. Ballinari, Daniele, 2024. "Calibrating doubly-robust estimators with unbalanced treatment assignment," Economics Letters, Elsevier, vol. 241(C).
    52. Paolo Brunori & Pedro Salas-Rojo & Paolo Verme, 2022. "Estimating Inequality with Missing Incomes," Working Papers - Economics wp2022_19.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    53. Campisi, Giovanni & Muzzioli, Silvia & De Baets, Bernard, 2024. "A comparison of machine learning methods for predicting the direction of the US stock market on the basis of volatility indices," International Journal of Forecasting, Elsevier, vol. 40(3), pages 869-880.
    54. Daniel Levy & Tamir Mayer & Alon Raviv, 2020. "Academic Scholarship in Light of the 2008 Financial Crisis: Textual Analysis of NBER Working Papers," Working Papers 2020-01, Bar-Ilan University, Department of Economics.
    55. Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    56. Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022. "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series 9979, The World Bank.
    57. Nicolas Suhadolnik & Jo Ueyama & Sergio Da Silva, 2023. "Machine Learning for Enhanced Credit Risk Assessment: An Empirical Approach," JRFM, MDPI, vol. 16(12), pages 1-21, November.
    58. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," WiSo-HH Working Paper Series 62, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    59. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    60. Jau-er Chen & Chen-Wei Hsiang, 2019. "Causal Random Forests Model Using Instrumental Variable Quantile Regression," Econometrics, MDPI, vol. 7(4), pages 1-22, December.
    61. Tejas Ramdas & Martin T. Wells, 2024. "Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets," Papers 2409.05192, arXiv.org.
    62. Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022. "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers 22-059, ZEW - Leibniz Centre for European Economic Research.
    63. Daniel Goller, 2023. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Annals of Operations Research, Springer, vol. 325(1), pages 649-679, June.
    64. Rama K. Malladi, 2024. "Benchmark Analysis of Machine Learning Methods to Forecast the U.S. Annual Inflation Rate During a High-Decile Inflation Period," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 335-375, July.
    65. Burke, M. & Agarwala, M. & Klusak, P. & Mohaddes, K., 2024. "Climate Policy and Sovereign Debt: The Impact of Transition Scenarios on Sovereign Creditworthiness," Janeway Institute Working Papers 2430, Faculty of Economics, University of Cambridge.
    66. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    67. Giacomo De Giorgi & Costanza Naguib, 2023. "Life after (Soft) Default," Papers 2306.00574, arXiv.org, revised Apr 2024.
    68. Lampach, Nicolas & To-The, Nguyen & Nguyen-Anh, Tuan, 2021. "Technical efficiency and the adoption of multiple agricultural technologies in the mountainous areas of Northern Vietnam," Land Use Policy, Elsevier, vol. 103(C).
    69. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    70. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    71. Stolbov, Mikhail & Shchepeleva, Maria, 2020. "What predicts the legal status of cryptocurrencies?," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 273-291.
    72. Rodríguez-Vargas, Adolfo, 2020. "Forecasting Costa Rican inflation with machine learning methods," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    73. Jesus Fernandez-Villaverde, 2020. "Simple Rules for a Complex World with Arti?cial Intelligence," PIER Working Paper Archive 20-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    74. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Papers 2101.00878, arXiv.org.
    75. Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2020. "Financial intermediation and technology: What’s old, what’s new?," Working Paper Series 2438, European Central Bank.
    76. Elena Ivona DUMITRESCU & Sullivan HUE & Christophe HURLIN & Sessi TOKPAVI, 2020. "Machine Learning or Econometrics for Credit Scoring: Let’s Get the Best of Both Worlds," LEO Working Papers / DR LEO 2839, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
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    79. Carlos Fern'andez-Lor'ia & Foster Provost & Jesse Anderton & Benjamin Carterette & Praveen Chandar, 2020. "A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation," Papers 2004.11532, arXiv.org, revised Apr 2022.
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    222. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    223. Guido de Blasio & Alessio D'Ignazio & Marco Letta, 2020. "Predicting Corruption Crimes with Machine Learning. A Study for the Italian Municipalities," Working Papers 16/20, Sapienza University of Rome, DISS.
    224. Hazar Altınbaş & Vincenzo Pacelli & Edgardo Sica, 2022. "An Empirical Assessment of the Contagion Determinants in the Euro Area in a Period of Sovereign Debt Risk," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 339-371, July.
    225. Andrew Tsang, 2024. "Uncovering heterogeneous regional impacts of Chinese monetary policy," Empirical Economics, Springer, vol. 67(3), pages 915-940, September.
    226. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," CESifo Working Paper Series 9037, CESifo.
    227. Wallimann, Hannes & Sticher, Silvio, 2023. "On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement," Transport Policy, Elsevier, vol. 143(C), pages 121-131.
    228. Maria Ana Matias & Rita Santos & Panos Kasteridis & Katja Grasic & Anne Mason & Nigel Rice, 2022. "Approaches to projecting future healthcare demand," Working Papers 186cherp, Centre for Health Economics, University of York.
    229. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
    230. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    231. Gutierrez-Lythgoe, Antonio, 2023. "Autoempleo y Machine Learning: Una aplicación para España [Self-employment and Machine Learning: An application for Spain]," MPRA Paper 117275, University Library of Munich, Germany.
    232. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    233. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer, 2023. "pystacked: Stacking generalization and machine learning in Stata," Stata Journal, StataCorp LLC, vol. 23(4), pages 909-931, December.
    234. Tanner Regan & Giorgio Chiovelli & Stelios Michalopoulos & Elias Papaioannou, 2023. "Illuminating Africa?," Working Papers 2023-11, The George Washington University, Institute for International Economic Policy.
    235. Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers 20-09, Department of Economics, University of Birmingham.
    236. Massimiliano Caporin & Mikhail Stolbov & Maria Shchepeleva, 2022. "What drives the expansion of research on banking crises? Cross-country evidence," Applied Economics, Taylor & Francis Journals, vol. 54(52), pages 6054-6064, November.
    237. Colak, Gonul & Fu, Mengchuan & Hasan, Iftekhar, 2022. "On modeling IPO failure risk," Economic Modelling, Elsevier, vol. 109(C).
    238. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    239. Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    240. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
    241. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    242. Paul B. Ellickson & Wreetabrata Kar & James C. Reeder, 2023. "Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions," Marketing Science, INFORMS, vol. 42(4), pages 704-728, July.
    243. Hanol Lee & Jong-Wha Lee, 2024. "Educational quality and disparities in income and growth across countries," Journal of Economic Growth, Springer, vol. 29(3), pages 361-389, September.
    244. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    245. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    246. David Glynn & John Giardina & Julia Hatamyar & Ankur Pandya & Marta Soares & Noemi Kreif, 2024. "Integrating decision modeling and machine learning to inform treatment stratification," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1772-1792, August.
    247. Kawata, Keisuke & Nakabayashi, Masaki, 2023. "Persistent mind: The effects of information provision on policy preferences," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 522-537.
    248. Morales-Oñate, Víctor & Morales-Oñate, Bolívar, 2024. "Cluster Evolution Analytics," MPRA Paper 120220, University Library of Munich, Germany.
    249. Bowen Liu & John R. Bryson & Deniz Sevinc & Matthew A. Cole & Robert J. R. Elliott & Suzanne E. Bartington & William J. Bloss & Zongbo Shi, 2023. "Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learning and Synthetic Control Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 203-231, October.
    250. Laeven, Luc & Boot, Arnoud & Hoffmann, Peter & Ratnovski, Lev, 2020. "Financial Intermediation and Technology: What’s Old, What’s New?," CEPR Discussion Papers 15004, C.E.P.R. Discussion Papers.
    251. Joao Vitor Matos Goncalves & Michel Alexandre & Gilberto Tadeu Lima, 2023. "ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting," Working Papers, Department of Economics 2023_13, University of São Paulo (FEA-USP).
    252. Jozef Barunik & Lubos Hanus, 2022. "Learning Probability Distributions in Macroeconomics and Finance," Papers 2204.06848, arXiv.org.
    253. Williamson, Amanda Jasmine & Battisti, Martina & Pollack, Jeffrey M., 2022. "Capturing passion expressed in text with artificial intelligence (AI): Affective passion waned, and identity centrality was sustained in social ventures," Journal of Business Venturing Insights, Elsevier, vol. 17(C).
    254. Mayer, Maximilian, 2023. "Climate change concerns and information spillovers from socially-connected friends," IWH Discussion Papers 2/2023, Halle Institute for Economic Research (IWH).
    255. Urmat Dzhunkeev, 2024. "Forecasting Inflation in Russia Using Gradient Boosting and Neural Networks," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 53-76, March.
    256. Aurélien Sallin & Simone Balestra, 2022. "The Earth is Not Flat: A New World of High-Dimensional Peer Effects," Economics of Education Working Paper Series 0189, University of Zurich, Department of Business Administration (IBW).
    257. Dylong, Patrick & Koenings, Fabian, 2023. "Framing of economic news and policy support during a pandemic: Evidence from a survey experiment," European Journal of Political Economy, Elsevier, vol. 76(C).
    258. Alessandra Garbero & Marco Letta, 2022. "Predicting household resilience with machine learning: preliminary cross-country tests," Empirical Economics, Springer, vol. 63(4), pages 2057-2070, October.
    259. Limosani, Michele & Millemaci, Emanuele & Mustica, Paolo, 2023. "An efficient Bayes classifier for word classification: an application on the EU Recovery and Resilience Plans," MPRA Paper 119875, University Library of Munich, Germany.
    260. Skoufias,Emmanuel & Vinha,Katja Pauliina, 2020. "Child Stature, Maternal Education, and Early Childhood Development," Policy Research Working Paper Series 9396, The World Bank.
    261. Dey, Asim K. & Hoque, G.M. Toufiqul & Das, Kumer P. & Panovska, Irina, 2022. "Impacts of COVID-19 local spread and Google search trend on the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    262. Juan Pablo Atal & Hanming Fang & Martin Karlsson & Nicolas R. Ziebarth, 2020. "German Long-Term Health Insurance: Theory Meets Evidence," NBER Working Papers 26870, National Bureau of Economic Research, Inc.
    263. Leonardo Cei & Edi Defrancesco & Gianluca Stefani, 2022. "What topic modelling can show about the development of agricultural economics: evidence from the Journal Citation Report category top journals," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(2), pages 289-330.
    264. de Blasio, Guido & D'Ignazio, Alessio & Letta, Marco, 2022. "Gotham city. Predicting ‘corrupted’ municipalities with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    265. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
    266. Zhu, Jingjing & Huang, Tianyuan, 2024. "Public debt and welfare with machine learning," Finance Research Letters, Elsevier, vol. 69(PA).
    267. Daniel Goller & Andrea Diem & Stefan C. Wolter, 2022. "Sitting next to a dropout: Study success of students with peers that came to the lecture hall by a different route," Economics of Education Working Paper Series 0190, University of Zurich, Department of Business Administration (IBW).
    268. Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
    269. Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2021. "Fintech: what’s old, what’s new?," Journal of Financial Stability, Elsevier, vol. 53(C).
    270. Taiyo Fukai & Hidehiko Ichimura & Keisuke Kawata, 2021. "Describing the impacts of COVID-19 on the labor market in Japan until June 2020," The Japanese Economic Review, Springer, vol. 72(3), pages 439-470, July.
    271. Su, Jiun-Hua, 2021. "Model selection in utility-maximizing binary prediction," Journal of Econometrics, Elsevier, vol. 223(1), pages 96-124.
    272. Aparajithan Venkateswaran & Jishnu Das & Tyler H. McCormick, 2023. "Feasible contact tracing," Papers 2312.05718, arXiv.org.
    273. Netta Barak‐Corren & Yoav Kan‐Tor & Nelson Tebbe, 2022. "Examining the effects of antidiscrimination laws on children in the foster care and adoption systems," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 1003-1066, December.
    274. Thomas R. Cook & Greg Gupton & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City.
    275. Xie, Wen-Jie & Wei, Na & Zhou, Wei-Xing, 2023. "An interpretable machine-learned model for international oil trade network," Resources Policy, Elsevier, vol. 82(C).
    276. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
    277. Andrew J. Patton & Yasin Simsek, 2023. "Generalized Autoregressive Score Trees and Forests," Papers 2305.18991, arXiv.org.
    278. Falco J. Bargagli Stoffi & Kenneth De Beckker & Joana E. Maldonado & Kristof De Witte, 2021. "Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy," Papers 2102.04382, arXiv.org.
    279. Ajit Desai, 2023. "Machine learning for economics research: when, what and how," Staff Analytical Notes 2023-16, Bank of Canada.
    280. Raval, Devesh & Rosenbaum, Ted & Wilson, Nathan E., 2021. "How do machine learning algorithms perform in predicting hospital choices? evidence from changing environments," Journal of Health Economics, Elsevier, vol. 78(C).
    281. Jianghong Xu & Chenguang Wang & Xukang Yin & Weixin Wang, 2024. "Digital economy and rural household resilience: Evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(5), pages 244-263.
    282. Abhinav Garg & Naman Shukla & Lavanya Marla & Sriram Somanchi, 2021. "Distribution Shift in Airline Customer Behavior during COVID-19," Papers 2111.14938, arXiv.org, revised Dec 2021.
    283. Baaken, Dominik & Hess, Sebastian, 2021. "Forecasting Regional Milk Production Quantity: A Comparison of Regression Models and Machine Learning," 2021 Conference, August 17-31, 2021, Virtual 315117, International Association of Agricultural Economists.
    284. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    285. Nils-Gunnar Birkeland Abrahamsen & Emil Nylén-Forthun & Mats Møller & Petter Eilif de Lange & Morten Risstad, 2024. "Financial Distress Prediction in the Nordics: Early Warnings from Machine Learning Models," JRFM, MDPI, vol. 17(10), pages 1-23, September.
    286. Brown, David P. & Cajueiro, Daniel O. & Eckert, Andrew & Silveira, Douglas, 2023. "Information and Transparency: Using Machine Learning to Detect Communication," Working Papers 2023-6, University of Alberta, Department of Economics.
    287. Tomás Marinozzi & Leandro Nallar & Sergio Pernice, 2021. "Intuitive Mathematical Economics Series. General Equilibrium Models and the Gradient Field Method," CEMA Working Papers: Serie Documentos de Trabajo. 820, Universidad del CEMA.
    288. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2019. "Machine Learning for Forecasting Excess Stock Returns The Five-Year-View," Graz Economics Papers 2019-06, University of Graz, Department of Economics.
    289. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).

  17. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.

    Cited by:

    1. Jonathan Roth & Pedro H. C. Sant'Anna, 2021. "Efficient Estimation for Staggered Rollout Designs," Papers 2102.01291, arXiv.org, revised May 2023.
    2. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Sep 2023.
    3. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    4. Patrick Bajari & Brian Burdick & Guido W. Imbens & Lorenzo Masoero & James McQueen & Thomas Richardson & Ido M. Rosen, 2021. "Multiple Randomization Designs," Papers 2112.13495, arXiv.org.
    5. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    6. Maria Petrova & Ananya Sen & Pinar Yildirim, 2021. "Social Media and Political Contributions: The Impact of New Technology on Political Competition," Management Science, INFORMS, vol. 67(5), pages 2997-3021, May.
    7. Vivek F. Farias & Andrew A. Li & Tianyi Peng, 2021. "Learning Treatment Effects in Panels with General Intervention Patterns," Papers 2106.02780, arXiv.org, revised Mar 2023.
    8. Shuze Chen & David Simchi-Levi & Chonghuan Wang, 2024. "Experimenting on Markov Decision Processes with Local Treatments," Papers 2407.19618, arXiv.org, revised Oct 2024.
    9. Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
    10. Athey, Susan & Imbens, Guido W., 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Research Papers 3712, Stanford University, Graduate School of Business.
    11. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
    12. Jinglong Zhao & Zijie Zhou, 2022. "Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective," Papers 2201.12936, arXiv.org, revised May 2024.
    13. Iavor Bojinov & David Simchi-Levi & Jinglong Zhao, 2023. "Design and Analysis of Switchback Experiments," Management Science, INFORMS, vol. 69(7), pages 3759-3777, July.
    14. Shan Huang & Chen Wang & Yuan Yuan & Jinglong Zhao & Brocco & Zhang, 2023. "Estimating Effects of Long-Term Treatments," Papers 2308.08152, arXiv.org, revised Dec 2024.

  18. Dmitry Arkhangelsky & Guido W. Imbens, 2019. "The Role of the Propensity Score in Fixed Effect Models," Working Papers wp2019_1905, CEMFI.

    Cited by:

    1. Hye Yoon Chung & Youjin Hahn, 2021. "Work Transitions, Gender, and Subjective Well-Being," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 2085-2109, October.
    2. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    3. Hottenrott, Hanna & Berger, Marius, 2021. "Start-Up Subsidies and the Sources of Venture Capital," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242383, Verein für Socialpolitik / German Economic Association.
    4. Myungkou Shin, 2022. "Finitely Heterogeneous Treatment Effect in Event-study," Papers 2204.02346, arXiv.org, revised Oct 2024.
    5. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    6. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    7. Dmitry Arkhangelsky & Guido W. Imbens, 2019. "Doubly Robust Identification for Causal Panel Data Models," Papers 1909.09412, arXiv.org, revised Feb 2022.
    8. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Jul 2024.
    9. Dmitry Arkhangelsky & Guido W. Imbens & Lihua Lei & Xiaoman Luo, 2021. "Design-Robust Two-Way-Fixed-Effects Regression For Panel Data," Papers 2107.13737, arXiv.org, revised Mar 2024.
    10. Athey, Susan & Imbens, Guido W., 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Research Papers 3712, Stanford University, Graduate School of Business.
    11. Yang, Yimin, 2022. "A correlated random effects approach to the estimation of models with multiple fixed effects," Economics Letters, Elsevier, vol. 213(C).
    12. Youmi Suk, 2024. "A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 61-91, February.
    13. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    14. Daniel Brüggmann & Michaela Kreyenfeld, 2023. "Earnings Trajectories After Divorce: The Legacies of the Earner Model During Marriage," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(2), pages 1-34, April.
    15. Kosuke Imai & In Song Kim, 2019. "When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 467-490, April.
    16. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    17. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    18. Youmi Suk & Hyunseung Kang, 2022. "Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 310-343, March.

  19. Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," Papers 1903.10079, arXiv.org.

    Cited by:

    1. Povilas Lastauskas & Julius Stakenas, 2019. "Does It Matter When Labor Market Reforms Are Implemented? The Role of the Monetary Policy Environment," Bank of Lithuania Working Paper Series 66, Bank of Lithuania.
    2. Daníelsson, Jón & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," Journal of Banking & Finance, Elsevier, vol. 140(C).
    3. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2017. "Economic Predictions with Big Data: The Illusion Of Sparsity," CEPR Discussion Papers 12256, C.E.P.R. Discussion Papers.
    4. Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.
    5. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    6. Cerqua, Augusto & Letta, Marco, 2022. "Local inequalities of the COVID-19 crisis," Regional Science and Urban Economics, Elsevier, vol. 92(C).
    7. Jesus Fernandez-Villaverde, 2020. "Simple Rules for a Complex World with Arti?cial Intelligence," PIER Working Paper Archive 20-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
    9. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    10. Fetzer, Thiemo & Wang, Shizhou, 2020. "Measuring the Regional Economic Cost of Brexit: Evidence up to 2019," The Warwick Economics Research Paper Series (TWERPS) 1280, University of Warwick, Department of Economics.
    11. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    12. Jesus Fernandez-Villaverde, 2021. "Has Machine Learning Rendered Simple Rules Obsolete?," PIER Working Paper Archive 21-008, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    13. Duarte, Victor & Duarte, Diogo & Fonseca, Julia & Montecinos, Alexis, 2020. "Benchmarking machine-learning software and hardware for quantitative economics," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    14. Cerqua, Augusto & Letta, Marco, 2020. "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper 104404, University Library of Munich, Germany.
    15. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    16. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    17. Shafiullah Qureshi & Ba Chu & Fanny S. Demers, 2021. "Forecasting Canadian GDP Growth with Machine Learning," Carleton Economic Papers 21-05, Carleton University, Department of Economics.
    18. Surender Kumar & Madhu Khanna, 2019. "Temperature and Production Efficiency Growth: Empirical Evidence," Working papers 298, Centre for Development Economics, Delhi School of Economics.
    19. Gabriel Loumeau & Christian Stettler, 2021. "Fiscal Autonomy and Self-Determination," CESifo Working Paper Series 9445, CESifo.
    20. Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.
    21. Mika Ylinen & Mikko Ranta, 2024. "Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 247-276, March.

  20. Guido Imbens & Konrad Menzel, 2018. "A Causal Bootstrap," NBER Working Papers 24833, National Bureau of Economic Research, Inc.

    Cited by:

    1. James J. Heckman & Ganesh Karapakula, 2019. "The Perry Preschoolers at Late Midlife: A Study in Design-Specific Inference," Working Papers 2019-034, Human Capital and Economic Opportunity Working Group.

  21. Susan Athey & Guido Imbens, 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Papers 1808.05293, arXiv.org, revised Sep 2018.

    Cited by:

    1. Ichev, Riste & Valentinčič, Aljoša, 2025. "The effect of impact investing on performance of private firms," Research in International Business and Finance, Elsevier, vol. 73(PA).
    2. Brzezinski, Adam & Deiana, Guido & Kecht, Valentin & Van Dijcke, David, 2020. "The COVID-19 Pandemic: Government vs. Community Action Across the United States," INET Oxford Working Papers 2020-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    3. Mac Clay, Pablo & Börner, Jan & Sellare, Jorge, 2023. "Institutional and macroeconomic stability mediate the effect of auctions on renewable energy capacity," Energy Policy, Elsevier, vol. 180(C).
    4. Brice Fabre & Marc Sangnier, 2024. "Where and why do politicians send pork? Evidence from central government transfers to French municipalities," Post-Print hal-04930928, HAL.
    5. Coile, Courtney & Rossin-Slater, Maya & Su, Amanda, 2022. "The Impact of Paid Family Leave on Families with Health Shocks," IZA Discussion Papers 15783, Institute of Labor Economics (IZA).
    6. Britto, Diogo & Melo, Caique & Sampaio, Breno, 2022. "The Kids Aren't Alright: Parental Job Loss and Children's Outcomes Within and Beyond Schools," CEPR Discussion Papers 17562, C.E.P.R. Discussion Papers.
    7. Giulia Bettin & Isabella Giorgetti & Stefano Staffolani, 2022. "The Impact Of Covid-19 Lockdown On The Gender Gap In The Italian Labour Market," Working Papers 460, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2024. "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," IFRO Working Paper 2024/03, University of Copenhagen, Department of Food and Resource Economics.
    10. Jonathan Roth & Pedro H. C. Sant'Anna, 2021. "Efficient Estimation for Staggered Rollout Designs," Papers 2102.01291, arXiv.org, revised May 2023.
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    Cited by:

    1. Luc Behaghel & Karen Macours & Julie Subervie, 2019. "How can randomised controlled trials help improve the design of the common agricultural policy?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 473-493.
    2. Burt S. Barnow & Sanjay K. Pandey & Qian “Eric†Luo, 2024. "How Mixed-Methods Research Can Improve the Policy Relevance of Impact Evaluations," Evaluation Review, , vol. 48(3), pages 495-514, June.
    3. Ralitza Dimova, 2019. "A Debate that Fatigues…: To Randomise or Not to Randomise; What’s the Real Question?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(2), pages 163-168, April.
    4. Kapur, Devesh, 2020. "Poverty, power and RCTs," World Development, Elsevier, vol. 127(C).

  23. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.

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    1. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    2. Nilsen, Øivind A. & Raknerud, Arvid & Iancu, Diana-Cristina, 2020. "Public R&D support and firm performance: A multivariate dose-response analysis," Research Policy, Elsevier, vol. 49(7).

  24. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.

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    1. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    2. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    3. Ibtihal Ferwana & Lav R. Varshney, 2022. "Optimal Recovery for Causal Inference," Papers 2208.06729, arXiv.org, revised Dec 2023.
    4. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2024. "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," IFRO Working Paper 2024/03, University of Copenhagen, Department of Food and Resource Economics.
    5. Abhijit Mandal & Beste Hamiye Beyaztas & Soutir Bandyopadhyay, 2023. "Robust density power divergence estimates for panel data models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 773-798, October.
    6. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    7. Jack (Peiyao) Ma & Andrea Mantovani & Carlo Reggiani & Annette Broocks & Néstor Duch-Brown, 2024. "The Price Effects of Prohibiting Price Parity Clauses: Evidence from International Hotel Groups," Economics Series Working Papers 1043, University of Oxford, Department of Economics.
    8. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
    9. Lionel Fontagn'e & Francesca Micocci & Armando Rungi, 2024. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Papers 2407.07652, arXiv.org, revised Feb 2025.
    10. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    11. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    12. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    13. Cahan, Ercument & Bai, Jushan & Ng, Serena, 2023. "Factor-based imputation of missing values and covariances in panel data of large dimensions," Journal of Econometrics, Elsevier, vol. 233(1), pages 113-131.
    14. Mantovani, Andrea & Reggiani, Carlo & Broocks, Annette & Duch-Brown, Nestor & Ma, Peiyao, 2022. "The Price Effects of Banning Price Parity Clauses in the EU: Evidence from International Hotel Groups," TSE Working Papers 22-1371, Toulouse School of Economics (TSE).
    15. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    16. Bogatyrev, Konstantin & Stoetzer, Lukas, 2024. "Synthetic Control Methods for Proportions," OSF Preprints brhd3_v1, Center for Open Science.
    17. Kirill Borusyak & Peter Hull, 2023. "Nonrandom Exposure to Exogenous Shocks," Econometrica, Econometric Society, vol. 91(6), pages 2155-2185, November.
    18. Markus Eberhardt, 2021. "Democracy, growth, heterogeneity, and robustness," Discussion Papers 2021-02, University of Nottingham, GEP.
    19. Yiping Lu & Jiajin Li & Lexing Ying & Jose Blanchet, 2022. "Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls," Papers 2211.15241, arXiv.org.
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    21. Biancalani, Francesco & Gnecco, Giorgio & Signori, Andrea & Vismara, Silvio, 2024. "Financing decisions following negative shocks in the product market: A matrix-completion study of the U.S. pharmaceutical industry," Economics Letters, Elsevier, vol. 243(C).
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    1. Cavanagh,Jack & Fliegner,Jasmin Claire & Kopper,Sarah & Sautmann,Anja, 2023. "A Metadata Schema for Data from Experiments in the Social Sciences," Policy Research Working Paper Series 10296, The World Bank.
    2. Yusuke Narita & Shota Yasui & Kohei Yata, 2020. "Debiased Off-Policy Evaluation for Recommendation Systems," Papers 2002.08536, arXiv.org, revised Aug 2021.
    3. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.

  26. Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambe, 2017. "Redefine Statistical Significance," Artefactual Field Experiments 00612, The Field Experiments Website.
    • Daniel J. Benjamin & James O. Berger & Magnus Johannesson & Brian A. Nosek & E.-J. Wagenmakers & Richard Berk & Kenneth A. Bollen & Björn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Chr, 2018. "Redefine statistical significance," Nature Human Behaviour, Nature, vol. 2(1), pages 6-10, January.

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    1. Merl, Robert & Stöckl, Thomas & Palan, Stefan, 2023. "Insider trading regulation and shorting constraints. Evaluating the joint effects of two market interventions," Journal of Banking & Finance, Elsevier, vol. 154(C).
    2. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    3. Dreber, Anna & Heikensten, Emma & Säve-Söderbergh, Jenny, 2022. "Why do women ask for less?," Labour Economics, Elsevier, vol. 78(C).
    4. Anne Ardila Brenøe & Zeynep Eyibak & Lea Heursen & Eva Ranehill & Roberto A. Weber, 2025. "Gender Identity and Economic Decision Making," CESifo Working Paper Series 11612, CESifo.
    5. Orozco, Valérie & Bontemps, Christophe & Maigné, Elise & Piguet, V. & Hofstetter, A. & Lacroix, Anne & Levert, F. & Rousselle, J.M, 2018. "How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics," TSE Working Papers 18-933, Toulouse School of Economics (TSE).
    6. Gunter, Ulrich & Önder, Irem & Smeral, Egon, 2019. "Scientific value of econometric tourism demand studies," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
    7. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    8. Wan, Shuaibin & Liang, Xiongwei & Jiang, Haoran & Sun, Jing & Djilali, Ned & Zhao, Tianshou, 2021. "A coupled machine learning and genetic algorithm approach to the design of porous electrodes for redox flow batteries," Applied Energy, Elsevier, vol. 298(C).
    9. Kellner, Ralf & Rösch, Daniel, 2021. "A Bayesian Re-Interpretation of “significant” empirical financial research," Finance Research Letters, Elsevier, vol. 38(C).
    10. Huber, Christoph & Huber, Juergen & Kirchler, Michael, 2021. "Volatility shocks and investment behavior," OSF Preprints jr4eb, Center for Open Science.
    11. John List, 2024. "Optimally Generate Policy-Based Evidence Before Scaling," Natural Field Experiments 00783, The Field Experiments Website.
    12. Christoph Huber & Anna Dreber & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Utz Weitzel & Miguel Abellán & Xeniya Adayeva & Fehime Ceren Ay & Kai Barron & Zachariah Berry & Werner Bönte , 2023. "Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(23), pages 2215572120-, June.
    13. Holzmeister, Felix & Johannesson, Magnus & Böhm, Robert & Dreber, Anna & Huber, Jürgen & Kirchler, Michael, 2024. "Heterogeneity in Effect Size Estimates: Empirical Evidence and Practical Implications," I4R Discussion Paper Series 102, The Institute for Replication (I4R).
    14. Neyse, Levent & Fossen, Frank M. & Johannesson, Magnus & Dreber, Anna, 2023. "Cognitive reflection and 2D:4D: Evidence from a large population sample," Discussion Papers, Research Unit: Market Behavior SP II 2023-201, WZB Berlin Social Science Center.
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    16. Colin F. Camerer & Anna Dreber & Felix Holzmeister & Teck-Hua Ho & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Gideon Nave & Brian A. Nosek & Thomas Pfeiffer & Adam Altmejd & Nick Buttrick , 2018. "Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015," Nature Human Behaviour, Nature, vol. 2(9), pages 637-644, September.
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    51. van de Weijer, Margot P. & de Vries, Lianne P. & Pelt, Dirk H.M. & Ligthart, Lannie & Willemsen, Gonneke & Boomsma, Dorret I. & de Geus, Eco & Bartels, Meike, 2022. "Self-rated health when population health is challenged by the COVID-19 pandemic; a longitudinal study," Social Science & Medicine, Elsevier, vol. 306(C).
    52. Rene Schwaiger & Laura Hueber, 2021. "Do MTurkers Exhibit Myopic Loss Aversion?," Working Papers 2021-12, Faculty of Economics and Statistics, Universität Innsbruck.
    53. Luigi Pace & Alessandra Salvan, 2020. "Likelihood, Replicability and Robbins' Confidence Sequences," International Statistical Review, International Statistical Institute, vol. 88(3), pages 599-615, December.
    54. Barrafrem, Kinga & Västfjäll, Daniel & Tinghög, Gustav, 2021. "The arithmetic of outcome editing in financial and social domains," Journal of Economic Psychology, Elsevier, vol. 86(C).
    55. Felix Holzmeister & Magnus Johannesson & Colin F. Camerer & Yiling Chen & Teck-Hua Ho & Suzanne Hoogeveen & Juergen Huber & Noriko Imai & Taisuke Imai & Lawrence Jin & Michael Kirchler & Alexander Ly , 2025. "Examining the replicability of online experiments selected by a decision market," Nature Human Behaviour, Nature, vol. 9(2), pages 316-330, February.
    56. John K. Kruschke, 2021. "Bayesian Analysis Reporting Guidelines," Nature Human Behaviour, Nature, vol. 5(10), pages 1282-1291, October.
    57. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Philipp Koellinger & Sven Oskarsson, 2021. "Using Genes to Explore the Effects of Cognitive and Non-cognitive Skills on Education and Labor Market Outcomes," Tinbergen Institute Discussion Papers 21-088/I, Tinbergen Institute, revised 29 Mar 2023.
    58. Arnold, Gwen & Farrer, Benjamin & Holahan, Robert, 2018. "How do landowners learn about high-volume hydraulic fracturing? A survey of Eastern Ohio landowners in active or proposed drilling units," Energy Policy, Elsevier, vol. 114(C), pages 455-464.
    59. Gemma T. Wallace & Karen C. Barrett & Kimberly L. Henry & Mark A. Prince & Bradley T. Conner, 2023. "Examining underlying structures of cognitive emotion regulation strategies using exploratory structural equation modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4171-4192, October.
    60. Buchanan, Erin Michelle & Foreman, Riley E. & Huber, Becca Nicole & Pavlacic, Jeffrey Michael & Swadley, Rachel N. & Schulenberg, Stefan E., 2017. "Does the Delivery Matter? Examining Randomization at the Item Level," OSF Preprints p93df_v1, Center for Open Science.
    61. Thomas Buser, 2024. "Adversarial economic preferences predict right-wing voting," Tinbergen Institute Discussion Papers 24-001/I, Tinbergen Institute.
    62. Armando Holzknecht & Jürgen Huber & Michael Kirchler & Tibor Neugebauer, 2024. "Speculating in zero-value assets: The greater fool game experiment," Working Papers 2024-09, Faculty of Economics and Statistics, Universität Innsbruck.
    63. Dreyfuss, Bnaya & Heffetz, Ori & Hoffman, Guy & Ishai, Guy & Kshirsagar, Alap, 2024. "Additive vs. subtractive earning in shared human-robot work environments," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 692-704.
    64. Jim A. C. Everett & Clara Colombatto & Edmond Awad & Paulo Boggio & Björn Bos & William J. Brady & Megha Chawla & Vladimir Chituc & Dongil Chung & Moritz A. Drupp & Srishti Goel & Brit Grosskopf & Fre, 2021. "Moral dilemmas and trust in leaders during a global health crisis," Nature Human Behaviour, Nature, vol. 5(8), pages 1074-1088, August.
    65. Paul Heaton & Caleb Flint, 2021. "Medicaid coverage expansions and liability insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 29-51, March.
    66. Libman, A., 2024. ""Zoo" of empirical results: Quantitative research and accumulation of knowledge in social sciences," Journal of the New Economic Association, New Economic Association, vol. 65(4), pages 178-194.
    67. Erik W. van Zwet & Eric A. Cator, 2021. "The significance filter, the winner's curse and the need to shrink," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(4), pages 437-452, November.
    68. David Bilén & Anna Dreber & Magnus Johannesson, 2021. "Are women more generous than men? A meta-analysis," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(1), pages 1-18, September.
    69. Beau Coker & Cynthia Rudin & Gary King, 2021. "A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results," Management Science, INFORMS, vol. 67(10), pages 6174-6197, October.
    70. Kseniia Zahrai & Ekant Veer & Paul William Ballantine & Huibert Peter de Vries & Girish Prayag, 2022. "Either you control social media or social media controls you: Understanding the impact of self‐control on excessive social media use from the dual‐system perspective," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(2), pages 806-848, June.
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  27. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2017. "Sampling-based vs. Design-based Uncertainty in Regression Analysis," Papers 1706.01778, arXiv.org, revised Jun 2019.

    Cited by:

    1. Matthew Ridley & Camille Terrier, 2018. "Fiscal and education spillovers from charter school expansion," CEP Discussion Papers dp1577, Centre for Economic Performance, LSE.
    2. Michael P. Leung, 2022. "Causal Inference Under Approximate Neighborhood Interference," Econometrica, Econometric Society, vol. 90(1), pages 267-293, January.
    3. Hibbard, Patrick F. & Chapman, Jason E., 2024. "Drug treatment courts and community-level crime," Journal of Criminal Justice, Elsevier, vol. 94(C).
    4. James J. Heckman & Ganesh Karapakula, 2019. "The Perry Preschoolers at Late Midlife: A Study in Design-Specific Inference," Working Papers 2019-034, Human Capital and Economic Opportunity Working Group.
    5. Yusuke Narita, 2018. "Toward an Ethical Experiment," Cowles Foundation Discussion Papers 2127, Cowles Foundation for Research in Economics, Yale University.
    6. Chand, Satish & Clemens, Michael A., 2019. "Human Capital Investment under Exit Options: Evidence from a Natural Quasi-Experiment," IZA Discussion Papers 12173, Institute of Labor Economics (IZA).
    7. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
    8. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
    9. Athey, Susan & Imbens, Guido W., 2018. "Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption," Research Papers 3712, Stanford University, Graduate School of Business.
    10. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    11. Ohlrogge, Michael, 2022. "Financial Crises and Legislation," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 4(3), pages 1-59, April.

  28. Alberto Abadie & Susan Athey & Guido Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," Papers 1710.02926, arXiv.org, revised Sep 2022.

    Cited by:

    1. Alexander Klein & Guy Tchuente, 2024. "Spatial differencing for sample selection models with ‘site-specific’ unobserved local effects," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 235-257.
    2. Molina Fernández, José Miguel & Gonzáles Zuazo, Rodrigo, 2018. "Exposición al comercio internacional e ingresos laborales en Bolivia: evidencia al nivel del trabajador," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 31, pages 10-31, May.
    3. Duk Gyoo Kim, 2020. "Clustering Standard Errors at the "Session" Level," CESifo Working Paper Series 8386, CESifo.
    4. Abman, Ryan & Lundberg, Clark & Ruta, Michele, 2022. "The Effectiveness of Environmental Provisions in Regional Trade Agreements," 2022: Transforming Global Value Chains, December 11-13, Clearwater Beach, FL 339471, International Agricultural Trade Research Consortium.
    5. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and loan origination time: lending standards, loan defaults and bank failures," Working Papers 2037, Banco de España.
    6. Daniel Mejía & Ervyn Norza & Santiago Tobón & Martín Vanegas-Arias, 2022. "Broken windows policing and crime: Evidence from 80 Colombian cities," Chapters, in: Paolo Buonanno & Paolo Vanin & Juan Vargas (ed.), A Modern Guide to the Economics of Crime, chapter 4, pages 55-87, Edward Elgar Publishing.
    7. Schetter, Ulrich & Diodato, Dario & Protzer, Eric & Neffke, Frank & Hausmann, Ricardo, 2024. "From Products to Capabilities: Constructing a Genotypic Product Space," CEPR Discussion Papers 19369, C.E.P.R. Discussion Papers.
    8. Sónia Cabral & Joana Garcia & Raquel Miranda & Susana Peralta & João Pereira dos Santos, 2025. "Treasure Islands, Real Jobs? Workers and Anti-Avoidance Policies in a Tax Paradise," Working Papers halshs-04940227, HAL.
    9. Francesco Fallucchi & Jan Niederreiter & Massimo Riccaboni, 2021. "Learning and dropout in contests: an experimental approach," Theory and Decision, Springer, vol. 90(2), pages 245-278, March.
    10. Sarah Schneider-Strawczynski & Jérôme Valette, 2024. "Media Coverage of Immigration and the Polarization of Attitudes," Working Papers 2024-01, CEPII research center.
    11. Pierre Mérel & Ariel Ortiz-Bobea & Emmanuel Paroissien, 2020. "How Big is the “Lemons” Problem? Historical Evidence from French Wines," Working Papers SMART 20-05, INRAE UMR SMART.
    12. Allais, Olivier & Leroy, Pascal & Mink, Julia, 2020. "Changes in food purchases at retirement in France," Food Policy, Elsevier, vol. 90(C).
    13. Fangzhou Su & Peng Ding, 2021. "Model‐assisted analyses of cluster‐randomized experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 994-1015, November.
    14. Emile Cammeraat & Egbert Jongen & Pierre Koning, 2022. "Preventing NEETs during the Great Recession: the effects of mandatory activation programs for young welfare recipients," Empirical Economics, Springer, vol. 62(2), pages 749-777, February.
    15. Cl'ement de Chaisemartin & Jaime Ramirez-Cuellar, 2019. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," Papers 1906.00288, arXiv.org, revised Jun 2023.
    16. Cai, Shu & Zimmermann, Klaus F., 2024. "Social identity and labor market outcomes of internal migrant workers," European Economic Review, Elsevier, vol. 163(C).
    17. Javdani, Moshen & Chang, Ha-Joon, 2019. "Who Said or What Said? Estimating Ideological Bias in Views Among Economists," MPRA Paper 91958, University Library of Munich, Germany.
    18. Papps, Kerry L. & Strain, Michael R., 2025. "Menu Adjustment in Response to the Minimum Wage: A Return to the New Jersey-Pennsylvania Border," IZA Discussion Papers 17594, Institute of Labor Economics (IZA).
    19. Centofanti, Tiziana & Murugesan, Anand, 2022. "Leader and citizens participation for the environment: Experimental evidence from Eastern Europe," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    20. Tal Gross & Timothy J. Layton & Daniel Prinz, 2022. "The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments," American Economic Review: Insights, American Economic Association, vol. 4(2), pages 175-190, June.
    21. Burlig, Fiona & Preonas, Louis & Woerman, Matt, 2017. "Panel Data and Experimental Design," MetaArXiv d5eud, Center for Open Science.
    22. Baehr, Christian & BenYishay, Ariel & Parks, Brad, 2023. "Highway to the forest? Land governance and the siting and environmental impacts of Chinese government-funded road building in Cambodia," Journal of Environmental Economics and Management, Elsevier, vol. 122(C).
    23. Cassan, Guilhem & Keniston, Daniel & Kleineberg, Tatjana, 2021. "A Division of Laborers: Identity and Efficiency in India," CAGE Online Working Paper Series 540, Competitive Advantage in the Global Economy (CAGE).
    24. Timothy J. Bartik & Nathan Sotherland, 2019. "Local Job Multipliers in the United States: Variation with Local Characteristics and with High-Tech Shocks," Upjohn Working Papers 19-301, W.E. Upjohn Institute for Employment Research.
    25. Pistolesi Nicolas, 2022. "Enrolling at university and the social influence of peers," IZA Journal of Labor Economics, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-26, January.
    26. Véronique Flambard & Fabrice Le Lec & Rustam Romaniuc, 2024. "An experimental comparison of contributions in collective prevention games and public goods games," Post-Print hal-04816166, HAL.
    27. Nakakawa, Frances & Mugisha, Johnny & Kaaya, Archileo N. & Tumwesigye, Nazarius M. & Hennessey, Martina, 2024. "Nutrition education effects on food and nutrition security for women living with HIV/AIDS in Uganda," Food Policy, Elsevier, vol. 128(C).
    28. Bäuml, Matthias & Kümpel, Christian, 2020. "Hospital responses to the introduction of reimbursements by treatment intensity in a (presumably lump sum) DRG system," hche Research Papers 22, University of Hamburg, Hamburg Center for Health Economics (hche).
    29. Anna Adamecz-Volgyi & Morag Henderson & Nikki Shure, 2021. "Intergenerational educational mobility – the role of non-cognitive skills," DoQSS Working Papers 21-30, Quantitative Social Science - UCL Social Research Institute, University College London.
    30. Veronica Leoni & David Boto-Garc a, 2022. "The effect of natural disasters on tourism demand, supply and labour markets: Evidence from La Palma volcano eruption," Working Papers wp1177, Dipartimento Scienze Economiche, Universita' di Bologna.
    31. Carbuccia, Laudine & Heim, Arthur & Barone, Carlo & Chevallier, Coralie, 2024. "Investigating how administrative burden and search costs affect social inequalities in early childcare access, a randomised controlled trial," OSF Preprints w2ey7_v1, Center for Open Science.
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    859. Xuchao Li & Jiankun Lu & Jian Wang & Jiyuan Wang, 2024. "How does medical insurance contribution affect corporate value? Evidence from China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 91(1), pages 57-92, March.
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    862. Pramod Kumar Sur, 2021. "Understanding Vaccine Hesitancy: Empirical Evidence from India," Papers 2103.02909, arXiv.org, revised Feb 2023.
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    866. Antoine Deeb & Cl'ement de Chaisemartin, 2019. "Clustering and External Validity in Randomized Controlled Trials," Papers 1912.01052, arXiv.org, revised Dec 2022.
    867. Ketcham, Jonathan & Kuminoff, Nicolai & Saha, Nirman, 2023. "Valuing Statistical Life Using Seniors' Medical Spending," RFF Working Paper Series 23-16, Resources for the Future.
    868. Lucas Gortazar & Claudia Hupkau & Antonio Roldan, 2023. "Online tutoring works: experimental evidence from a program with vulnerable children," CEP Discussion Papers dp1908, Centre for Economic Performance, LSE.
    869. Gortazar, Lucas & Hupkau, Claudia & Roldan-Mones, Antonio, 2023. "Online tutoring works: experimental evidence from a program with vulnerable children," LSE Research Online Documents on Economics 121342, London School of Economics and Political Science, LSE Library.
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    874. Miguel Benítez Rueda, 2022. "Migración venezolana y productividad laboral en Colombia," Coyuntura Económica, Fedesarrollo, vol. 52, pages 35-64, December.
    875. Bryan C. McCannon & Zachary Porreca, 2025. "The right to counsel: criminal prosecution in 19th century London," Economica, London School of Economics and Political Science, vol. 92(365), pages 285-321, January.
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    885. Bäuml, Matthias & Dette, Tilman & Pollmann, Michael, 2022. "Price and income effects of hospital reimbursements," Journal of Health Economics, Elsevier, vol. 81(C).
    886. Huang, Junhua & Valizadeh, Pourya & Bryant, Henry & Priestley, Samuel, 2024. "How Did the Expiration of SNAP Emergency Allotments Affect Fresh Fruit and Vegetable Purchases of SNAP Households?," 2024 Annual Meeting, July 28-30, New Orleans, LA 344186, Agricultural and Applied Economics Association.
    887. Winnie Coleman & Dieter Nautz, 2025. "Asymmetric Inflation Target Credibility," Berlin School of Economics Discussion Papers 0060, Berlin School of Economics.
    888. Thorsten Janus, 2023. "Technology adoption in autocratic economies: The role of fiscal capacity," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(4), pages 355-371, September.
    889. Idriss Fontaine & Sabine Garabedian & Hélène Vérèmes, 2024. "Tropical cyclones and fertility: New evidence from developing countries," Post-Print hal-04717646, HAL.
    890. Bhan, Prateek Chandra & Vornberger, Judith & Wen, Jinglin, 2024. "Reflection and mental health: Experimental evidence from Germany," Working Papers 38, University of Konstanz, Cluster of Excellence "The Politics of Inequality. Perceptions, Participation and Policies".
    891. Martin, Julien & Toubal, Farid, 2020. "Corporate tax avoidance and sales: micro evidence and aggregate implications," CEPR Discussion Papers 15060, C.E.P.R. Discussion Papers.
    892. Kalil, Ariel & Mayer, Susan E. & Gallegos, Sebastian, 2021. "Using behavioral insights to increase attendance at subsidized preschool programs: The Show Up to Grow Up intervention," Organizational Behavior and Human Decision Processes, Elsevier, vol. 163(C), pages 65-79.
    893. Jan Stede & Marc Blauert & Nils May, 2021. "Way Off: The Effect of Minimum Distance Regulation on the Deployment and Cost of Wind Power," Discussion Papers of DIW Berlin 1989, DIW Berlin, German Institute for Economic Research.
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    895. Alice Dominici and Lisen Arnheim Dahlström, 2023. "Targeting vaccine information framing to recipients’ education: a randomized trial," Economics Working Papers EUI ECO 2023/02, European University Institute.
    896. Roxana Elena Manea; Pedro Naso, 2021. "Heterogeneous Impacts of School Fee Elimination in Tanzania: Gender and Colonial Infrastructure," CIES Research Paper series 64-2020, Centre for International Environmental Studies, The Graduate Institute.
    897. Colombo, Andrea & Tojerow, Ilan, 2020. "Appointed or Elected? How Mayoral Accountability Impacts the Provision of Policing," IZA Discussion Papers 13961, Institute of Labor Economics (IZA).

  29. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.

    Cited by:

    1. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    2. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
    3. Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz, Center for Open Science.
    4. Newham, Melissa & Valente, Marica, 2024. "The cost of influence: How gifts to physicians shape prescriptions and drug costs," Journal of Health Economics, Elsevier, vol. 95(C).
    5. Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP69/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Sookyo Jeong & Hongseok Namkoong, 2020. "Assessing External Validity Over Worst-case Subpopulations," Papers 2007.02411, arXiv.org, revised Feb 2022.
    7. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Pedro Forquesato, 2022. "Who Benefits from Political Connections in Brazilian Municipalities," Papers 2204.09450, arXiv.org.
    9. Josephson, Anna & Michler, Jeffrey D., 2018. "Viewpoint: Beasts of the field? Ethics in agricultural and applied economics," Food Policy, Elsevier, vol. 79(C), pages 1-11.
    10. Valente, Marica, 2023. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    11. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
    12. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2022. "A Structural Model of a Multitasking Salesforce: Incentives, Private Information, and Job Design," Management Science, INFORMS, vol. 68(6), pages 4602-4630, June.
    13. Ying Deng & Qianqian Yue & Xin Zhao, 2024. "What Does Air Quality Information Disclosure Deliver and to Whom? Evidence from the Ambient Air Quality Standard (2012) Program in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2859-2887, November.
    14. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Pamela Giustinelli & Matthew D. Shapiro, 2024. "SeaTE: Subjective Ex Ante Treatment Effect of Health on Retirement," American Economic Journal: Applied Economics, American Economic Association, vol. 16(2), pages 278-317, April.
    16. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2021.
    17. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.
    18. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    19. Kantha Dayaram & Alistair McGuire, 2019. "Retirement Reforms: Occupational Strain and Health," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 58(3), pages 522-542, July.
    20. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
    21. Lunyu Xie & Tianhua Zou & Joshua Linn & Haosheng Yan, 2024. "Can Building Subway Systems Improve Air Quality? New Evidence from Multiple Cities and Machine Learning," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(4), pages 1009-1044, April.
    22. Yi-Hau Chen & Szu-Yuan Hsu & Jie-Huei Wang & Chien-Chou Su, 2024. "Analyzing Treatment Effect by Integrating Existing Propensity Score and Outcome Regressions with Heterogeneous Covariate Sets," Mathematics, MDPI, vol. 12(14), pages 1-17, July.
    23. Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz_v1, Center for Open Science.
    24. Soumajyoti Sarkar & Hamidreza Alvari, 2020. "Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org," Papers 2006.12995, arXiv.org.
    25. Benjamin Jensen & Brandon Valeriano & Sam Whitt, 2024. "How cyber operations can reduce escalation pressures: Evidence from an experimental wargame study," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(1), pages 119-133, January.
    26. Isabel Hovdahl, 2019. "On the use of machine learning for causal inference in climate economics," Working Papers No 05/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    27. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    28. Costanza Naguib, 2023. "Is the Impact of Opening the Borders Heterogeneous?," Diskussionsschriften dp2312, Universitaet Bern, Departement Volkswirtschaft.
    29. Thai T. Pham & Yuanyuan Shen, 2017. "A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform," Papers 1706.02795, arXiv.org.

  30. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers CWP10/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    2. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.

  31. Athey, Susan & Imbens, Guido W. & Wager, Stefan, 2016. "Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing," Research Papers 3408, Stanford University, Graduate School of Business.

    Cited by:

    1. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    2. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    3. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
    4. Dmitry Arkhangelsky & Guido W. Imbens, 2019. "Doubly Robust Identification for Causal Panel Data Models," Papers 1909.09412, arXiv.org, revised Feb 2022.
    5. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    6. Matthias Huber & Simone Schüller & Marc Stöckli & Klaus Wohlrabe, 2018. "Maschinelles Lernen in der ökonomischen Forschung," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(07), pages 50-53, April.
    7. Vafa, Keyon & Athey, Susan & Blei, David M., 2024. "Estimating Wage Disparities Using Foundation Models," Research Papers 4206, Stanford University, Graduate School of Business.
    8. Soumajyoti Sarkar & Hamidreza Alvari, 2020. "Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org," Papers 2006.12995, arXiv.org.
    9. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    10. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
    11. Thai T. Pham & Yuanyuan Shen, 2017. "A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform," Papers 1706.02795, arXiv.org.

  32. BERTANHA, Marinho & IMBENS, Guido W., 2016. "External Validity in Fuzzy Regression Discontinuity Designs," LIDAM Discussion Papers CORE 2016025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Hao Bo & Sebastian Galiani, 2019. "Assessing External Validity," NBER Working Papers 26422, National Bureau of Economic Research, Inc.
    2. Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.
    3. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    5. Yi Zhang & Eli Ben-Michael & Kosuke Imai, 2022. "Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs," Papers 2208.13323, arXiv.org, revised Sep 2024.
    6. Patrick Kline & Christopher R. Walters, 2017. "On Heckits, LATE, and Numerical Equivalence," Papers 1706.05982, arXiv.org, revised Oct 2018.
    7. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    8. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    9. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2016. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," NBER Working Papers 22923, National Bureau of Economic Research, Inc.
    10. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    11. Denni Tommasi & Arthur Lewbel & Rossella Calvi, 2017. "LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India," Working Papers ECARES ECARES 2017-27, ULB -- Universite Libre de Bruxelles.
    12. Meager, Rachael, 2019. "Understanding the average impact of microcredit expansions: a Bayesian hierarchical analysis of seven randomized experiments," LSE Research Online Documents on Economics 88190, London School of Economics and Political Science, LSE Library.
    13. He, Yang & Bartalotti, Otávio, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," ISU General Staff Papers 202005010700001071, Iowa State University, Department of Economics.
    14. Marinho Bertanha & Marcelo J. Moreira, 2016. "Impossible Inference in Econometrics: Theory and Applications," Papers 1612.02024, arXiv.org, revised Feb 2020.
    15. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    16. Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Mar 2025.
    17. Jean-Baptiste Guiffard, 2024. "Valuing the virtual: The impact of fiber to the home on property prices in France," Post-Print hal-04518375, HAL.
    18. Meager, Rachael & Sturdy, Jennifer, 2017. "Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature," MetaArXiv 7tkvm, Center for Open Science.
    19. Thomas S. Dee & Hans Henrik Sievertsen, 2018. "The gift of time? School starting age and mental health," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 781-802, May.
    20. Yu‐Chin Hsu & Shu Shen, 2021. "Testing monotonicity of conditional treatment effects under regression discontinuity designs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 346-366, April.
    21. Matias D. Cattaneo & Luke Keele & Rocío Titiunik & Gonzalo Vazquez-Bare, 2021. "Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1941-1952, October.
    22. Amanda E. Kowalski, 2018. "Extrapolation using Selection and Moral Hazard Heterogeneity from within the Oregon Health Insurance Experiment," Cowles Foundation Discussion Papers 2135, Cowles Foundation for Research in Economics, Yale University.
    23. Robert Hahn & Robert Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," Natural Field Experiments 00724, The Field Experiments Website.
    24. Villamizar-Villegas, Mauricio & Pinzón-Puerto, Freddy A. & Ruiz-Sánchez, María Alejandra, 2020. "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Working papers 38, Red Investigadores de Economía.
    25. Gerard, François & Rothe, Christoph & Rokkanen, Miikka, 2016. "Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application," CEPR Discussion Papers 11668, C.E.P.R. Discussion Papers.
    26. Adam, Antonis & Tsarsitalidou, Sofia, 2022. "The effect of international development association's (IDA) aid on conflict. A fuzzy regression discontinuity approach," European Journal of Political Economy, Elsevier, vol. 74(C).
    27. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    28. BERTANHA, Marinho, 2016. "Regression Discontinuity Design with Many Thresholds," LIDAM Discussion Papers CORE 2016026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    29. Christopher Jepsen & Peter Mueser & Kenneth Troske, 2017. "Second Chance for High School Dropouts? A Regression Discontinuity Analysis of Postsecondary Educational Returns to the GED," Journal of Labor Economics, University of Chicago Press, vol. 35(S1), pages 273-304.
    30. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    31. Strazzeri, Maurizio, 2021. "Assessing the Role of Asylum Policies in Refugees' Labor Market Integration: The Case of Protection Statuses in the German Asylum System," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242395, Verein für Socialpolitik / German Economic Association.
    32. Yuta Okamoto & Yuuki Ozaki, 2024. "On Extrapolation of Treatment Effects in Multiple-Cutoff Regression Discontinuity Designs," Papers 2412.04265, arXiv.org.
    33. Tarek Azzam & Michael Bates & David Fairris, 2020. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202022, University of California at Riverside, Department of Economics, revised Jul 2020.
    34. Alwin Dsouza & Ashok K. Mishra & Scott Webster, 2023. "Vertical coordination and post‐harvest losses: Implications on food loss," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 460-486, March.
    35. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments," NBER Working Papers 22363, National Bureau of Economic Research, Inc.
    36. Gabriel Ehrlich & Jeffrey Perry, 2015. "Do Large-Scale Refinancing Programs Reduce Mortgage Defaults? Evidence From a Regression Discontinuity Design: Working Paper 2015-06," Working Papers 50871, Congressional Budget Office.
    37. Francesco Ruggieri, 2023. "Dynamic Regression Discontinuity: An Event-Study Approach," Papers 2307.14203, arXiv.org, revised Mar 2025.
    38. Amanda E. Kowalski, 2018. "Behavior within a Clinical Trial and Implications for Mammography Guidelines," NBER Working Papers 25049, National Bureau of Economic Research, Inc.
    39. Johansen, Eva Rye, 2021. "Relative age for grade and adolescent risky health behavior," Journal of Health Economics, Elsevier, vol. 76(C).
    40. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    41. Isaiah Andrews & Emily Oster, 2017. "A Simple Approximation for Evaluating External Validity Bias," NBER Working Papers 23826, National Bureau of Economic Research, Inc.
    42. Schleicher, Michael & Klonner, Stefan & Sauerborn, Rainer & Sié, Alie & Souares, Aurélia, 2018. "The Demand for Health Insurance in a Poor Economy: Evidence from Burkina Faso," Working Papers 0648, University of Heidelberg, Department of Economics.
    43. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    44. Abhijeet Singh, 2020. "Learning More with Every Year: School Year Productivity and International Learning Divergence," Journal of the European Economic Association, European Economic Association, vol. 18(4), pages 1770-1813.
    45. Meager, Rachael, 2022. "Aggregating distributional treatment effects: a Bayesian hierarchical analysis of the microcredit literature," LSE Research Online Documents on Economics 115559, London School of Economics and Political Science, LSE Library.
    46. Hwang, Jisoo & Hwang, Seung-sik & Kim, Hyuncheol Bryant & Lee, Jungmin & Lee, Junseok, 2023. "Risk Compensation after COVID-19 Vaccination," IZA Discussion Papers 16053, Institute of Labor Economics (IZA).
    47. Valentin Verdier, 2020. "Average treatment effects for stayers with correlated random coefficient models of panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 917-939, November.
    48. Thomas Dee & Emily Penner, 2016. "The Causal Effects of Cultural Relevance: Evidence from an Ethnic Studies Curriculum," NBER Working Papers 21865, National Bureau of Economic Research, Inc.
    49. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
    50. Bertanha, Marinho Angelo & Moreira, Marcelo J., 2017. "Impossible inference in econometrics: theory and applications to regression discontinuity, bunching, and exogeneity tests," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 787, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    51. François Gerard & Miikka Rokkanen & Christoph Rothe, 2020. "Bounds on treatment effects in regression discontinuity designs with a manipulated running variable," Quantitative Economics, Econometric Society, vol. 11(3), pages 839-870, July.
    52. Tony Beatton & Michael P. Kidd & Anthony Niu & Francis Vella, 2023. "Age of Starting School, Academic Performance, and the Impact of Non‐Compliance: An Experiment within an Experiment, Evidence from Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 175-206, June.
    53. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments for the Young and Privately Insured"," Cowles Foundation Discussion Papers 2045, Cowles Foundation for Research in Economics, Yale University.
    54. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert J. & Smith, Jeffrey A. & Taylor, Evan J., 2015. "Simple Tests for Selection Bias: Learning More from Instrumental Variables," IZA Discussion Papers 9346, Institute of Labor Economics (IZA).
    55. Simon ter Meulen, 2023. "Long-Term Effects of Grade Retention," CESifo Working Paper Series 10212, CESifo.
    56. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    57. Lucy C. Sorensen & Montserrat Avila‐Acosta & John B. Engberg & Shawn D. Bushway, 2023. "The thin blue line in schools: New evidence on school‐based policing across the U.S," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(4), pages 941-970, September.
    58. Jiafeng Chen, 2021. "Nonparametric Treatment Effect Identification in School Choice," Papers 2112.03872, arXiv.org, revised Oct 2023.
    59. Jisoo Hwang & Seung‐sik Hwang & Hyuncheol Bryant Kim & Jungmin Lee & Junseok Lee, 2024. "Risk compensation after COVID‐19 vaccination: Evidence from vaccine rollout by exact birth date in South Korea," Health Economics, John Wiley & Sons, Ltd., vol. 33(8), pages 1811-1830, August.

  33. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Aug 2024.

    Cited by:

    1. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    2. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    3. Keith Battocchi & Eleanor Dillon & Maggie Hei & Greg Lewis & Miruna Oprescu & Vasilis Syrgkanis, 2021. "Estimating the Long-Term Effects of Novel Treatments," Papers 2103.08390, arXiv.org, revised Feb 2022.
    4. Rahul Singh & Hannah Zhou, 2022. "Kernel methods for long term dose response curves," Papers 2201.05139, arXiv.org, revised Dec 2024.
    5. David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Simultaneous Inference for Local Structural Parameters with Random Forests," Papers 2405.07860, arXiv.org, revised Sep 2024.
    6. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    7. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
    8. Carlos Fernández-Loría & Foster Provost, 2022. "Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 4-16, April.
    9. Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.

  34. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.

    Cited by:

    1. Masahiro Kato & Akari Ohda, 2023. "Asymptotically Unbiased Synthetic Control Methods by Density Matching," Papers 2307.11127, arXiv.org, revised Feb 2025.
    2. Dalmazzo, Alberto & de Blasio, Guido & Poy, Samuele, 2018. "Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963)," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 284-306.
    3. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    4. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2020. "Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method," IREA Working Papers 202005, University of Barcelona, Research Institute of Applied Economics, revised Apr 2020.
    5. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    6. Bidisha Lahiri & Anurag Deb, 2022. "Impact of the Indian “demonetization” policy on its export performance," Empirical Economics, Springer, vol. 62(6), pages 2799-2825, June.
    7. Martin-Shields, Charles P. & Stojetz, Wolfgang, 2019. "Food security and conflict: Empirical challenges and future opportunities for research and policy making on food security and conflict," World Development, Elsevier, vol. 119(C), pages 150-164.
    8. Rode, Johannes & Neugart, Michael, 2019. "Voting after a major flood: Is there a link between democratic experience and retrospective voting?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203530, Verein für Socialpolitik / German Economic Association.
    9. Marion Leroutier, 2019. "Carbon Pricing and Power Sector Decarbonisation: Evidence from the UK," Policy Papers 2019.03, FAERE - French Association of Environmental and Resource Economists.
    10. Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
    11. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    12. Rangel, Marcos & Nobles, Jenna & Hamoudi, Amar, 2019. "Brazil's Missing Infants: Zika Risk Changes Reproductive Behavior," SocArXiv fu8bp, Center for Open Science.
    13. Vaidya, Shalvaree, 2021. "The impact of premium subsidies on health plan choices in Switzerland: Who responds to the incentives set by in-kind as opposed to cash transfers?," Health Policy, Elsevier, vol. 125(6), pages 675-684.
    14. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    15. Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
    16. Kraynak,Daniel Christopher & Timilsina,Govinda R. & Alberini,Anna, 2024. "The Effect of Pricing Instruments on CO2 Emissions: Empirical Evidence from Australia," Policy Research Working Paper Series 10812, The World Bank.
    17. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    18. Dasgupta, Kabir & Mason, Brenden J., 2020. "The effect of interest rate caps on bankruptcy: Synthetic control evidence from recent payday lending bans," Journal of Banking & Finance, Elsevier, vol. 119(C).
    19. Becker, Maike & Pfeifer, Gregor & Schweikert, Karsten, 2021. "Price Effects of the Austrian Fuel Price Fixing Act: A Synthetic Control Study," Energy Economics, Elsevier, vol. 97(C).
    20. Jan Bruha & Jaromir Tonner, 2017. "An Exchange Rate Floor as an Instrument of Monetary Policy: An Ex-post Assessment of the Czech Experience," Working Papers 2017/04, Czech National Bank.
    21. Batie, Cicely M. & Dennis, Elliott J. & Lubben, Bradley D., 2020. "Do state-level agricultural promotion programs increase agricultural output? The case of the Livestock Friendly County designation program in Nebraska," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304399, Agricultural and Applied Economics Association.
    22. Camilla Beck Olsen & Hans Olav Melberg, 2018. "Did adolescents in Norway respond to the elimination of copayments for general practitioner services?," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1120-1130, July.
    23. Matthew Ridley & Camille Terrier, 2018. "Fiscal and education spillovers from charter school expansion," CEP Discussion Papers dp1577, Centre for Economic Performance, LSE.
    24. Bruno Ferman, 2021. "On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1764-1772, October.
    25. Xin, Mengwei & Shalaby, Amer & Feng, Shumin & Zhao, Hu, 2021. "Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method," Transport Policy, Elsevier, vol. 111(C), pages 1-16.
    26. Borgschulte, Mark & Vogler, Jacob, 2019. "Did the ACA Medicaid Expansion Save Lives?," IZA Discussion Papers 12552, Institute of Labor Economics (IZA).
    27. Niklas Potrafke & Fabian Ruthardt & Kaspar Wüthrich, 2020. "Protectionism and Economic Growth: Causal Evidence from the First Era of Globalization," CESifo Working Paper Series 8759, CESifo.
    28. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    29. Jaume Vives-i-Bastida, 2022. "Predictor Selection for Synthetic Controls," Papers 2203.11576, arXiv.org, revised Dec 2022.
    30. Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 65-70, May.
    31. Achille Nazaret & Claudia Shi & David M. Blei, 2023. "On the Misspecification of Linear Assumptions in Synthetic Control," Papers 2302.12777, arXiv.org.
    32. Aaron Adalja & Jūra Liaukonytė & Emily Wang & Xinrong Zhu, 2023. "GMO and Non-GMO Labeling Effects: Evidence from a Quasi-Natural Experiment," Marketing Science, INFORMS, vol. 42(2), pages 233-250, March.
    33. Anish Agarwal & Vasilis Syrgkanis, 2022. "Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime," Papers 2210.11003, arXiv.org.
    34. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    35. Panizza, Ugo & Caselli, Francesca & Faralli, Matilde & Manasse, Paolo, 2021. "On the Benefits of Repaying," CEPR Discussion Papers 16539, C.E.P.R. Discussion Papers.
    36. Chiara Natalie Focacci & Mitja Kovac & Rok Spruk, 2022. "The perils of Kremlin's influence: evidence from Ukraine," Papers 2206.04950, arXiv.org.
    37. Moeeni, Safoura, 2021. "The intergenerational effects of economic sanctions," CLEF Working Paper Series 33, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    38. Myoung-jae Lee & Yasuyuki Sawada, 2020. "Review on Difference in Differences," Korean Economic Review, Korean Economic Association, vol. 36, pages 135-173.
    39. Anil Kumar & Che-Yuan Liang, 2018. "Labor Market Effects of Credit Constraints: Evidence from a Natural Experiment," Working Papers 1810, Federal Reserve Bank of Dallas, revised 04 Feb 2023.
    40. Clay, Karen & Egedesø, Peter Juul & Hansen, Casper Worm & Jensen, Peter Sandholt & Calkins, Avery, 2020. "Controlling tuberculosis? Evidence from the first community-wide health experiment," Journal of Development Economics, Elsevier, vol. 146(C).
    41. Claudia Shi & Dhanya Sridhar & Vishal Misra & David M. Blei, 2021. "On the Assumptions of Synthetic Control Methods," Papers 2112.05671, arXiv.org, revised Dec 2021.
    42. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    43. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    44. Tanndal, Julia & Waldenström, Daniel, 2016. "Does Financial Deregulation Boost Top Incomes? Evidence from the Big Bang," Working Paper Series, Center for Labor Studies 2016:2, Uppsala University, Department of Economics.
    45. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
    46. Esteban Colla‐De‐Robertis & Rafael Garduno Rivera, 2021. "The effect of a free trade agreement with the United States on member countries' per capita GDP: A synthetic control analysis," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1129-1145, August.
    47. Ruoyao Shi & Jinyong Hahn, 2016. "Synthetic Control and Inference," Working Papers 201802, University of California at Riverside, Department of Economics, revised Nov 2017.
    48. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
    49. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    50. Vikash Vaibhav & K. V. Ramaswamy, 2024. "State-size and economic growth: evidence from state reorganization in India," Indian Economic Review, Springer, vol. 59(1), pages 177-203, October.
    51. Pan, Shuiyang & Long, Suwan(Cheng) & Wang, Yiming & Xie, Ying, 2023. "Nonlinear asset pricing in Chinese stock market: A deep learning approach," International Review of Financial Analysis, Elsevier, vol. 87(C).
    52. Jiafeng Chen, 2022. "Synthetic Control As Online Linear Regression," Papers 2202.08426, arXiv.org, revised Nov 2022.
    53. Cengiz, Doruk & Tekgüç, Hasan, 2024. "Counterfactual reconciliation: Incorporating aggregation constraints for more accurate causal effect estimates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 564-580.
    54. Giovanni Peri & Vasil Yasenov, 2019. "The Labor Market Effects of a Refugee Wave: Synthetic Control Method Meets the Mariel Boatlift," Journal of Human Resources, University of Wisconsin Press, vol. 54(2), pages 267-309.
    55. Douglas Kiarelly Godoy de Araujo & Carlos Cantú & Allan Chinchilla & Cecilia Franco & Jon Frost & Andrea Oconitrillo, 2024. "Fast payments and banking: Costa Rica's SINPE Móvil," BIS Papers chapters, in: Bank for International Settlements (ed.), Faster digital payments: global and regional perspectives, volume 127, pages 45-60, Bank for International Settlements.
    56. Damon Jones & Ioana Marinescu, 2018. "The Labor Market Impacts of Universal and Permanent Cash Transfers: Evidence from the Alaska Permanent Fund," NBER Working Papers 24312, National Bureau of Economic Research, Inc.
    57. Keegan Harris & Anish Agarwal & Chara Podimata & Zhiwei Steven Wu, 2022. "Strategyproof Decision-Making in Panel Data Settings and Beyond," Papers 2211.14236, arXiv.org, revised Dec 2023.
    58. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    59. Dario Laudati & M. Hashem Pesaran, 2021. "Identifying the Effects of Sanctions on the Iranian Economy Using Newspaper Coverage," CESifo Working Paper Series 9217, CESifo.
    60. Poulos, Jason & Albanese, Andrea & Mercatanti, Andrea & Li, Fan, 2021. "Retrospective Causal Inference via Matrix Completion, with an Evaluation of the Effect of European Integration on Cross-Border Employment," IZA Discussion Papers 14472, Institute of Labor Economics (IZA).
    61. Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019. "Optimal Experimental Design for Staggered Rollouts," Papers 1911.03764, arXiv.org, revised Sep 2023.
    62. Bai, Jushan & Wang, Peng, 2024. "Causal inference using factor models," MPRA Paper 120585, University Library of Munich, Germany.
    63. Jason Poulos, 2019. "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction," Papers 1903.08028, arXiv.org, revised Dec 2023.
    64. Angela Zhou & Andrew Koo & Nathan Kallus & Rene Ropac & Richard Peterson & Stephen Koppel & Tiffany Bergin, 2021. "An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls," Papers 2111.08664, arXiv.org, revised Jun 2023.
    65. Florian Gunsilius & David Van Dijcke, 2025. "disco: Distributional Synthetic Controls," Papers 2501.07550, arXiv.org, revised Jan 2025.
    66. Yonzan, Nishant & Timilsina, Laxman & Kelly, Inas Rashad, 2024. "Economic incentives surrounding fertility: Evidence from Alaska’s permanent fund dividend," Economics & Human Biology, Elsevier, vol. 52(C).
    67. Klößner, Stefan & Pfeifer, Gregor, 2018. "Synthesizing Cash for Clunkers: Stabilizing the Car Market, Hurting the Environment?," MPRA Paper 88175, University Library of Munich, Germany.
    68. Abby Alpert & William N Evans & Ethan M J Lieber & David Powell, 2023. "Origins of the Opioid Crisis and its Enduring Impacts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(2), pages 1139-1179.
    69. Greta Laage & Emma Frejinger & Andrea Lodi & Guillaume Rabusseau, 2021. "Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?," Papers 2101.10249, arXiv.org, revised Jun 2021.
    70. Vivek F. Farias & Andrew A. Li & Tianyi Peng, 2021. "Learning Treatment Effects in Panels with General Intervention Patterns," Papers 2106.02780, arXiv.org, revised Mar 2023.
    71. Christoph F. Kurz & Martin Rehm & Rolf Holle & Christina Teuner & Michael Laxy & Larissa Schwarzkopf, 2019. "The effect of bariatric surgery on health care costs: A synthetic control approach using Bayesian structural time series," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1293-1307, November.
    72. Carvalho, Carlos Viana de & Masini, Ricardo Pereira & Medeiros, Marcelo C., 2017. "The perils of counterfactual analysis with integrated processes," Textos para discussão 455, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    73. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    74. Parast Layla & Hunt Priscillia & Griffin Beth Ann & Powell David, 2020. "When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 209-228, January.
    75. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    76. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    77. Kathleen T. Li & Christophe Van den Bulte, 2023. "Augmented Difference-in-Differences," Marketing Science, INFORMS, vol. 42(4), pages 746-767, July.
    78. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    79. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
    80. Matthew Chesnes & Weijia (Daisy) Dai & Ginger Zhe Jin, 2017. "Banning Foreign Pharmacies from Sponsored Search: The Online Consumer Response," Marketing Science, INFORMS, vol. 36(6), pages 879-907, November.
    81. Peri, Giovanni & Rury, Derek & Wiltshire, Justin C., 2020. "The Economic Impact of Migrants from Hurricane Maria," IZA Discussion Papers 13049, Institute of Labor Economics (IZA).
    82. Bruno Ferman & Cristine Pinto, 2019. "Synthetic Controls with Imperfect Pre-Treatment Fit," Papers 1911.08521, arXiv.org, revised Jan 2021.
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    84. Geloso, Vincent & Pavlik, Jamie Bologna, 2021. "The Cuban revolution and infant mortality: A synthetic control approach," Explorations in Economic History, Elsevier, vol. 80(C).
    85. Marcos A. Rangel & Jenna Nobles & Amar Hamoudi, 2020. "Brazil’s Missing Infants: Zika Risk Changes Reproductive Behavior," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1647-1680, October.
    86. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
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    104. Jason Poulos & Shuxi Zeng, 2017. "RNN-based counterfactual prediction, with an application to homestead policy and public schooling," Papers 1712.03553, arXiv.org, revised May 2021.
    105. Giovanni Mellace & Alessandra Pasquini, 2022. "Mediation Analysis Synthetic Control," Temi di discussione (Economic working papers) 1389, Bank of Italy, Economic Research and International Relations Area.
    106. González Rozada, Martín & Ruffo, Hernán, 2021. "Do Trade Agreements Contribute to the Decline in Labor Share? Evidence from Latin American Countries," IDB Publications (Working Papers) 11782, Inter-American Development Bank.
    107. Alberto Abadie & Jaume Vives-i-Bastida, 2022. "Synthetic Controls in Action," Papers 2203.06279, arXiv.org.
    108. Jann Spiess & Guido Imbens & Amar Venugopal, 2023. "Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control," Papers 2305.00700, arXiv.org, revised Oct 2023.
    109. Youngho Kim, 2024. "Payments for Ecosystem Services Programs and Climate Change Adaptation in Agriculture," Economics Series Working Papers 1054, University of Oxford, Department of Economics.
    110. Billy, Alexander & Packard, Michael, 2022. "Crime and the Mariel Boatlift," International Review of Law and Economics, Elsevier, vol. 72(C).
    111. Hao Li, 2020. "The effect of universal pre‐kindergarten policy on female labor force participation—A synthetic control approach," Southern Economic Journal, John Wiley & Sons, vol. 87(2), pages 440-482, October.
    112. Anish Agarwal & Keegan Harris & Justin Whitehouse & Zhiwei Steven Wu, 2023. "Adaptive Principal Component Regression with Applications to Panel Data," Papers 2307.01357, arXiv.org, revised Aug 2024.
    113. Jia, Zhijie & Wen, Shiyan, 2024. "Interaction effects of market-based and incentive-driven low-carbon policies on carbon emissions," Energy Economics, Elsevier, vol. 137(C).
    114. Mitchell J. Lovett & Renana Peres & Linli Xu, 2019. "Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth," Quantitative Marketing and Economics (QME), Springer, vol. 17(3), pages 215-255, September.
    115. Chen, Haojing & Bayram, Mehmet Emin & Lee, Changmin, 2023. "Measuring impact of health crises on economies: A staggered synthetic control approach with bias-correction," Finance Research Letters, Elsevier, vol. 58(PD).
    116. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
    117. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    118. Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.
    119. Zhan Gao & Zhentao Shi, 2021. "Implementing Convex Optimization in R: Two Econometric Examples," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1127-1135, December.
    120. Vikash Vaibhav & K.V. Ramaswamy, 2022. "Does the creation of smaller states lead to higher economic growth? Evidence from state reorganization in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-007, Indira Gandhi Institute of Development Research, Mumbai, India.
    121. Jiafeng Chen, 2023. "Synthetic Control as Online Linear Regression," Econometrica, Econometric Society, vol. 91(2), pages 465-491, March.
    122. Jianqing Fan & Ricardo P. Masini & Marcelo C. Medeiros, 2020. "Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction," Papers 2011.03996, arXiv.org, revised Jan 2022.
    123. Daniel Kinn, 2018. "Synthetic Control Methods and Big Data," Papers 1803.00096, arXiv.org.
    124. Dallas Dotter & Duncan Chaplin & Maria Bartlett, "undated". "Impacts of School Reforms in Washington, DC on Student Achievement," Mathematica Policy Research Reports 44e95d7566434a21b8d57f951, Mathematica Policy Research.
    125. Nishant Yonzan & Laxman Timilsina & Inas Rashad Kelly, 2020. "Economic Incentives Surrounding Fertility: Evidence from Alaska's Permanent Fund Dividend," NBER Working Papers 26712, National Bureau of Economic Research, Inc.
    126. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    127. Rangel, Marcos & Nobles, Jenna & Hamoudi, Amar, 2019. "Brazil's Missing Infants: Zika Risk Changes Reproductive Behavior," SocArXiv fu8bp_v1, Center for Open Science.
    128. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    129. Mohammad Reza Farzanegan & Mohammad Ali Kadivar, 2021. "The Effect of Islamic Revolution and War on Income Inequality in Iran," CESifo Working Paper Series 9428, CESifo.
    130. Jacob Goldin & Julian Nyarko & Justin Young, 2022. "Forecasting Algorithms for Causal Inference with Panel Data," Papers 2208.03489, arXiv.org, revised Apr 2024.
    131. Kumar, Anil & Liang, Che-Yuan, 2019. "Credit constraints and GDP growth: Evidence from a natural experiment," Economics Letters, Elsevier, vol. 181(C), pages 190-194.
    132. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    133. Guillaume Allaire Pouliot & Zhen Xie, 2022. "Degrees of Freedom and Information Criteria for the Synthetic Control Method," Papers 2207.02943, arXiv.org.
    134. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    135. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    136. Harvey, A. & Thiele, S., 2017. "Co-integration and control: assessing the impact of events using time series data," Cambridge Working Papers in Economics 1731, Faculty of Economics, University of Cambridge.
    137. Kuruc, Kevin, 2022. "Are IMF rescue packages effective? A synthetic control analysis of macroeconomic crises," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 38-53.
    138. Klaus Gründler & Niklas Potrafke, 2020. "Fiscal Rules: Historical, Modern, and Sub-National Growth Effects," CESifo Working Paper Series 8305, CESifo.
    139. Ben Deaner & Hyejin Ku, 2024. "Causal Duration Analysis with Diff-in-Diff," Papers 2405.05220, arXiv.org.
    140. Wagner, Gary A. & Rork, Jonathan C., 2023. "Does state tax reciprocity affect interstate commuting? Evidence from a natural experiment," Regional Science and Urban Economics, Elsevier, vol. 102(C).
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    143. Justin Wiltshire, 2021. "allsynth: Synthetic control bias-corrections utilities for Stata," 2021 Stata Conference 15, Stata Users Group.
    144. Samuel Verevis & Murat Üngör, 2021. "What has New Zealand gained from The FTA with China?: Two counterfactual analyses†," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 20-50, February.
    145. Sayoni Roychowdhury & Indrila Ganguly & Abhik Ghosh, 2021. "Robust Estimation of Average Treatment Effects from Panel Data," Papers 2112.13228, arXiv.org, revised Dec 2022.
    146. Florian Gunsilius, 2020. "Distributional synthetic controls," Papers 2001.06118, arXiv.org, revised Dec 2021.
    147. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "A $t$-test for synthetic controls," Papers 1812.10820, arXiv.org, revised Jan 2024.
    148. Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.
    149. Lin, Lee-Kai, 2022. "Effects of a global budget payment scheme on medical specialty workforces," Social Science & Medicine, Elsevier, vol. 309(C).
    150. Marion Leroutier, 2021. "Carbon Pricing and Power Sector Decarbonisation: Evidence from the UK," CIRED Working Papers halshs-03265636, HAL.
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  35. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.

    Cited by:

    1. María Hernández de Benito, 2022. "This Is a Man’s World: Crime and Intra-Household Resource Allocation," HiCN Working Papers 372, Households in Conflict Network.
    2. Johnsen, Åshild A. & Kvaløy, Ola, 2021. "Conspiracy against the public - An experiment on collusion11“People of the same trade seldom meet together, even for merriment and diversion, but the conversation ends in a conspiracy against the publ," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    3. Rothstein, Jesse & Von Wachter, Till, 2016. "Social Experiments in the Labor Market," Department of Economics, Working Paper Series qt7957p9g6, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Robinson, Carly D. & Gallus, Jana & Lee, Monica G. & Rogers, Todd, 2018. "The Demotivating Effect (and Unintended Message) of Retrospective Awards," Working Paper Series rwp18-020, Harvard University, John F. Kennedy School of Government.
    5. Anell, Anders & Dietrichson, Jens & Ellegård, Lina Maria & Kjellsson, Gustav, 2017. "Information, Switching Costs, and Consumer Choice: Evidence from Two Randomized Field Experiments in Swedish Primary Health Care," Working Papers 2017:7, Lund University, Department of Economics, revised 27 Jun 2018.
    6. Emma Riley, 2022. "Resisting Social Pressure in the Household Using Mobile Money: Experimental Evidence on Microenterprise Investment in Uganda," CSAE Working Paper Series 2022-04, Centre for the Study of African Economies, University of Oxford.
    7. Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
    8. Duflo, Esther & Banerjee, Abhijit & Banerji, Rukmini & Berry, James & Kannan, Harini & Mukerji, Shobhini & Walton, Michael & Shotland, Marc, 2017. "From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application," CEPR Discussion Papers 11762, C.E.P.R. Discussion Papers.
    9. Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," NBER Working Papers 23867, National Bureau of Economic Research, Inc.
    10. Wesley Burnett, J. & Mothorpe, Christopher, 2021. "Human-induced earthquakes, risk salience, and housing values," Resource and Energy Economics, Elsevier, vol. 63(C).
    11. Tom Coupé & W. Robert Reed & Christian Zimmerman, 2021. "Paving the Road for Replications: Experimental Results from an Online Research Repository," Working Papers in Economics 21/09, University of Canterbury, Department of Economics and Finance.
    12. Simon Burgess & Robert Metcalfe & Sally Sadoff, 2016. "Understanding the Response to Financial and Non-Financial Incentives in Education: Field Experimental Evidence Using High-Stakes Assessments," Bristol Economics Discussion Papers 16/678, School of Economics, University of Bristol, UK.
    13. Masset, Edoardo & García-Hombrados, Jorge & Acharya, Arnab, 2020. "Aiming high and falling low: The SADA-Northern Ghana Millennium Village Project," Journal of Development Economics, Elsevier, vol. 143(C).
    14. Rachid Laajaj & Karen Macours, 2021. "Measuring Skills in Developing Countries," PSE-Ecole d'économie de Paris (Postprint) halshs-02306954, HAL.
    15. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    16. Tom Coupé & W. Robert Reed & Christian Zimmermann, 2021. "Paving the Road for Replications: Experimental Results from an Online Research Bibliography," Working Papers 2021-013, Federal Reserve Bank of St. Louis, revised 24 Feb 2022.
    17. Knowles, Stephen & Servátka, Maroš & Sullivan, Trudy & Genç, Murat, 2017. "Deadlines, Procrastination, and Forgetting in Charitable Tasks: A Field Experiment," MPRA Paper 83694, University Library of Munich, Germany.
    18. Karen Macours & Renos Vakis, 2016. "Sustaining Impacts When Transfers End: Women Leaders, Aspirations, and Investment in Children," NBER Working Papers 22871, National Bureau of Economic Research, Inc.
    19. Pranjal Rawat, 2023. "Algorithmic Collusion in Auctions: Evidence from Controlled Laboratory Experiments," Papers 2306.09437, arXiv.org, revised Jan 2025.
    20. Edeh, Hyacinth & Mavrotas, George, 2018. "Welfare Effect of Urea Deep Placement (UDP) Technology Adoption among Smallholder Rice Farmers in Kwara State, Nigeria – Analysis of a Randomized Control Trial Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273493, Agricultural Economics Society.
    21. Garance Genicot & Maria Hernandez de Benito, 2021. "Women's Land Rights and Village Institutions in Tanzania," Working Papers gueconwpa~21-21-21, Georgetown University, Department of Economics.
    22. Robinson, Carly D. & Lee, Monica G. & Dearing, Eric & Rogers, Todd, 2017. "Reducing Student Absenteeism in the Early Grades by Targeting Parental Beliefs," Working Paper Series rwp17-011, Harvard University, John F. Kennedy School of Government.
    23. Bharat Chandar & Ali Hortacsu & John List & Ian Muir & Jeffrey Wooldridge, 2019. "Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings," Natural Field Experiments 00681, The Field Experiments Website.
    24. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.

  36. Susan Athey & Guido W. Imbens & Stefan Wager, 2016. "Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions," Papers 1604.07125, arXiv.org, revised Jan 2018.

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    1. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Gnangnon, Sèna Kimm, 2025. "Effect of the Suspension from the African Growth and Opportunity Act Programme on Poverty in Sub-Saharan Africa," EconStor Preprints 309194, ZBW - Leibniz Information Centre for Economics.
    4. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    5. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org, revised Feb 2025.
    6. Lenz, Gabriel & Sahn, Alexander, 2017. "Achieving Statistical Significance with Covariates and without Transparency," MetaArXiv s42ba, Center for Open Science.
    7. Liu, Shouying & Ma, Sen & Yin, Lijuan & Zhu, Jiong, 2023. "Land titling, human capital misallocation, and agricultural productivity in China," Journal of Development Economics, Elsevier, vol. 165(C).
    8. Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
    9. Ashesh Rambachan & Rahul Singh & Davide Viviano, 2024. "Program Evaluation with Remotely Sensed Outcomes," Papers 2411.10959, arXiv.org.
    10. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    11. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    12. Wei Huang & Oliver Linton & Zheng Zhang, 2022. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1817-1830, October.
    13. Victor Chernozhukov & Whitney Newey & Rahul Singh & Vasilis Syrgkanis, 2020. "Adversarial Estimation of Riesz Representers," Papers 2101.00009, arXiv.org, revised Apr 2024.
    14. Khashayar Khosravi & Greg Lewis & Vasilis Syrgkanis, 2019. "Non-Parametric Inference Adaptive to Intrinsic Dimension," Papers 1901.03719, arXiv.org, revised Jun 2019.
    15. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
    18. Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "Automatic Debiased Machine Learning via Riesz Regression," Papers 2104.14737, arXiv.org, revised Mar 2024.
    19. M. Chatib Basri & Mayara Felix & Rema Hanna & Benjamin A. Olken, 2019. "Tax Administration vs. Tax Rates: Evidence from Corporate Taxation in Indonesia," NBER Working Papers 26150, National Bureau of Economic Research, Inc.
    20. Harold D. Chiang, 2019. "Many Average Partial Effects: with an Application to Text Regression," 2019 Papers pch1836, Job Market Papers.
    21. Yimin Dai & Ying Yan, 2024. "Mahalanobis balancing: A multivariate perspective on approximate covariate balancing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(4), pages 1450-1471, December.
    22. Benjamin Lu & Eli Ben-Michael & Avi Feller & Luke Miratrix, 2023. "Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 420-453, August.
    23. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
    24. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    25. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    26. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    27. Martin Wiegand, 2019. "Do early-ending conditional cash transfer programs crowd out school enrollment?," Tinbergen Institute Discussion Papers 19-053/V, Tinbergen Institute.
    28. Vahe Avagyan & Stijn Vansteelandt, 2021. "Stable inverse probability weighting estimation for longitudinal studies," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 1046-1067, September.
    29. Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
    30. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    31. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    32. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    33. Dasom Lee & Shu Yang & Lin Dong & Xiaofei Wang & Donglin Zeng & Jianwen Cai, 2023. "Improving trial generalizability using observational studies," Biometrics, The International Biometric Society, vol. 79(2), pages 1213-1225, June.
    34. Michael C Knaus, 2022. "Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
    35. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
    36. Büchler, Simon & Lutz, Elena, 2024. "Making housing affordable? The local effects of relaxing land-use regulation," Journal of Urban Economics, Elsevier, vol. 143(C).
    37. D’Amour, Alexander & Ding, Peng & Feller, Avi & Lei, Lihua & Sekhon, Jasjeet, 2021. "Overlap in observational studies with high-dimensional covariates," Journal of Econometrics, Elsevier, vol. 221(2), pages 644-654.
    38. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    39. Su, Miaomiao & Wang, Qihua, 2022. "A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    40. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
    41. Kaiwen Hou & David Hou & Yang Ouyang & Lulu Zhang & Aster Liu, 2022. "Crises Do Not Cause Lower Short-Term Growth," Papers 2211.04558, arXiv.org, revised Nov 2022.
    42. McNamara, Sarah, 2020. "Returns to higher education and dropouts: A double machine learning approach," ZEW Discussion Papers 20-084, ZEW - Leibniz Centre for European Economic Research.
    43. David Bruns-Smith & Oliver Dukes & Avi Feller & Elizabeth L. Ogburn, 2023. "Augmented balancing weights as linear regression," Papers 2304.14545, arXiv.org, revised Jun 2024.
    44. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    45. Jason Poulos & Shuxi Zeng, 2021. "RNN‐based counterfactual prediction, with an application to homestead policy and public schooling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 1124-1139, August.
    46. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference In Differences," NBER Working Papers 25532, National Bureau of Economic Research, Inc.
    47. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
    48. Zongwu Cai & Ying Fang & Ming Lin & Yaqian Wu, 2024. "Estimating Counterfactual Distribution Functions via Optimal Distribution Balancing with Applications," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202415, University of Kansas, Department of Economics.
    49. Kuanhao Jiang & Rajarshi Mukherjee & Subhabrata Sen & Pragya Sur, 2022. "A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond," Papers 2205.10198, arXiv.org, revised Oct 2022.
    50. Michael Zimmert, 2018. "Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding," Papers 1809.01643, arXiv.org, revised Aug 2020.
    51. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," Post-Print hal-03789141, HAL.
    52. Shixiao Zhang & Peisong Han & Changbao Wu, 2023. "Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference," International Statistical Review, International Statistical Institute, vol. 91(2), pages 165-192, August.
    53. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    54. Shengfei Tang & Yanmei Shi & Qi Zhang, 2023. "Bias-Corrected Inference of High-Dimensional Generalized Linear Models," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
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    56. Xingyu Chen & Lin Liu & Rajarshi Mukherjee, 2024. "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics," Papers 2408.06103, arXiv.org, revised Apr 2025.
    57. Marianne Bl'ehaut & Xavier D'Haultfoeuille & J'er'emy L'Hour & Alexandre B. Tsybakov, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Papers 2005.12225, arXiv.org, revised Jun 2021.
    58. Rahul Singh, 2020. "Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments," Papers 2012.10315, arXiv.org, revised Mar 2023.
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    57. Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org, revised Apr 2025.
    58. Wooyong Jo & Sarang Sunder & Jeonghye Choi & Minakshi Trivedi, 2020. "Protecting Consumers from Themselves: Assessing Consequences of Usage Restriction Laws on Online Game Usage and Spending," Marketing Science, INFORMS, vol. 39(1), pages 117-133, January.
    59. Ramesh Johari & Hannah Li & Inessa Liskovich & Gabriel Y. Weintraub, 2022. "Experimental Design in Two-Sided Platforms: An Analysis of Bias," Management Science, INFORMS, vol. 68(10), pages 7069-7089, October.
    60. Eric Auerbach & Hongchang Guo & Max Tabord-Meehan, 2021. "The Local Approach to Causal Inference under Network Interference," Papers 2105.03810, arXiv.org, revised Mar 2025.
    61. Nathan Kallus, 2023. "Treatment Effect Risk: Bounds and Inference," Management Science, INFORMS, vol. 69(8), pages 4579-4590, August.
    62. Iavor Bojinov & David Simchi-Levi & Jinglong Zhao, 2023. "Design and Analysis of Switchback Experiments," Management Science, INFORMS, vol. 69(7), pages 3759-3777, July.
    63. Chabé-Ferret, Sylvain & Reynaud, Arnaud & Tène, Eva, 2021. "Water Quality, Policy Diffusion Effects and Farmers’ Behavior," TSE Working Papers 21-1229, Toulouse School of Economics (TSE).
    64. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    65. Elizabeth L. Ogburn & Ilya Shpitser & Youjin Lee, 2020. "Causal inference, social networks and chain graphs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1659-1676, October.
    66. Silvia Noirjean & Marco Mariani & Alessandra Mattei & Fabrizia Mealli, 2020. "Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance," Papers 2011.11023, arXiv.org, revised May 2022.
    67. Hannah Li & Geng Zhao & Ramesh Johari & Gabriel Y. Weintraub, 2021. "Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms," Papers 2104.12222, arXiv.org.
    68. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
    69. Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.

  39. Athey, Susan & Imbens, Guido W., 2015. "Machine Learning for Estimating Heterogeneous Causal Effects," Research Papers 3350, Stanford University, Graduate School of Business.

    Cited by:

    1. Stefan Wager, 2016. "Comments on: A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 261-263, June.
    2. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    3. W. Bentley MacLeod, 2017. "Viewpoint: The human capital approach to inference," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(1), pages 5-39, February.
    4. Rina Friedberg & Julie Tibshirani & Susan Athey & Stefan Wager, 2018. "Local Linear Forests," Papers 1807.11408, arXiv.org, revised Sep 2020.
    5. Sonan Memon, 2021. "Machine Learning for Economists: An Introduction," PIDE Knowledge Brief 2021:33, Pakistan Institute of Development Economics.
    6. Fafchamps, Marcel & Labonne, Julien, 2016. "Using Split Samples to Improve Inference on Causal Effects," CEPR Discussion Papers 11077, C.E.P.R. Discussion Papers.
    7. Sophie van Huellen & Duo Qin, 2016. "Compulsory Schooling and the Returns to Education: A Re-examination," Working Papers 199, Department of Economics, SOAS University of London, UK.
    8. Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022. "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series 9979, The World Bank.
    9. Droste, Nils & Becker, Claudia & Ring, Irene & Santos, Rui, 2017. "Decentralization effects in ecological fiscal transfers: The case of Portugal," UFZ Discussion Papers 3/2017, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    10. Enoch Hyunwook Kang & P. R. Kumar, 2023. "Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle," Papers 2301.12571, arXiv.org, revised Jun 2023.
    11. Andr'es Ram'irez-Hassan & Raquel Vargas-Correa & Gustavo Garc'ia & Daniel Londo~no, 2020. "Optimal selection of the number of control units in kNN algorithm to estimate average treatment effects," Papers 2008.06564, arXiv.org.
    12. Haifeng Li & Mo Hai & Wenxun Tang, 2022. "Prior Knowledge-Based Causal Inference Algorithms and Their Applications for China COVID-19 Analysis," Mathematics, MDPI, vol. 10(19), pages 1-20, September.
    13. Sam Asher & Denis Nekipelov & Paul Novosad & Stephen P. Ryan, 2016. "Classification Trees for Heterogeneous Moment-Based Models," NBER Working Papers 22976, National Bureau of Economic Research, Inc.
    14. Aaron Chalfin & Benjamin Hansen & Jason Lerner & Lucie Parker, 2019. "Reducing Crime Through Environmental Design: Evidence from a Randomized Experiment of Street Lighting in New York City," NBER Working Papers 25798, National Bureau of Economic Research, Inc.
    15. Simon Burgess & Robert Metcalfe & Sally Sadoff, 2016. "Understanding the Response to Financial and Non-Financial Incentives in Education: Field Experimental Evidence Using High-Stakes Assessments," Bristol Economics Discussion Papers 16/678, School of Economics, University of Bristol, UK.
    16. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    17. Bosker, Maarten, 2022. "City origins," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    18. Marcel Fafchamps & Julien Labonne, 2016. "Using Split Samples to Improve Inference about Causal Effects," NBER Working Papers 21842, National Bureau of Economic Research, Inc.
    19. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    20. Jonathan M.V. Davis & Sara B. Heller, 2017. "Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs," NBER Working Papers 23443, National Bureau of Economic Research, Inc.
    21. Antonio R. Linero, 2023. "Prior and posterior checking of implicit causal assumptions," Biometrics, The International Biometric Society, vol. 79(4), pages 3153-3164, December.
    22. Daniel Ershov, 2018. "Competing with Superstars in the Mobile App Market," Working Papers 18-02, NET Institute.
    23. Dutt, Satyajit & Radermacher, Jan W., 2023. "Age, wealth, and the MPC in Europe: A supervised machine learning approach," SAFE Working Paper Series 383, Leibniz Institute for Financial Research SAFE.
    24. Florian Gunsilius & Meng Hsuan Hsieh & Myung Jin Lee, 2022. "Tangential Wasserstein Projections," Papers 2207.14727, arXiv.org, revised Aug 2022.
    25. Peysakhovich, Alexander & Naecker, Jeffrey, 2017. "Using methods from machine learning to evaluate behavioral models of choice under risk and ambiguity," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 373-384.
    26. Prithwiraj Choudhury & Ryan T. Allen & Michael G. Endres, 2021. "Machine learning for pattern discovery in management research," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 30-57, January.
    27. Libo Sun & Guodong Lyu & Yugang Yu & Chung‐Piaw Teo, 2020. "Fulfillment by Amazon versus fulfillment by seller: An interpretable risk‐adjusted fulfillment model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 627-645, December.
    28. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    29. Picard, Julien & Banerjee, Sanchayan, 2023. "Behavioural spillovers unpacked: estimating the side effects of social norm nudges," LSE Research Online Documents on Economics 120566, London School of Economics and Political Science, LSE Library.
    30. Frank Oechsle, 2023. "Increasing the robustness of uplift modeling using additional splits and diversified leaf select," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 738-746, December.
    31. Jinping Hu, 2023. "Customer feature selection from high-dimensional bank direct marketing data for uplift modeling," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 160-171, June.
    32. Seungwoo Chin & Matthew E. Kahn & Hyungsik Roger Moon, 2017. "Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach," NBER Working Papers 23326, National Bureau of Economic Research, Inc.
    33. Stefano Cabras & J. D. Tena, 2023. "Implicit institutional incentives and individual decisions: Causal inference with deep learning models," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3739-3754, September.
    34. Hunt Allcott & Judd B. Kessler, 2015. "The Welfare Effects of Nudges: A Case Study of Energy Use Social Comparisons," NBER Working Papers 21671, National Bureau of Economic Research, Inc.
    35. Sarah Friedrich & Gerd Antes & Sigrid Behr & Harald Binder & Werner Brannath & Florian Dumpert & Katja Ickstadt & Hans A. Kestler & Johannes Lederer & Heinz Leitgöb & Markus Pauly & Ansgar Steland & A, 2022. "Is there a role for statistics in artificial intelligence?," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(4), pages 823-846, December.
    36. Chen, Jingnan (Cecilia) & Fonseca, Miguel A. & Grimshaw, Shaun B., 2021. "When a nudge is (not) enough: Experiments on social information and incentives," European Economic Review, Elsevier, vol. 134(C).
    37. Muller, Seán M., 2020. "The implications of a fundamental contradiction in advocating randomized trials for policy," World Development, Elsevier, vol. 127(C).
    38. Rafael P. Greminger, 2022. "Trade-Offs Between Ranking Objectives: Reduced-Form Evidence and Structural Estimation," Papers 2210.16408, arXiv.org, revised Feb 2025.
    39. Han, Xuehui & Wei, Shang-Jin, 2017. "Re-examining the middle-income trap hypothesis (MITH): What to reject and what to revive?," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 41-61.
    40. Haupt, Johannes & Lessmann, Stefan, 2020. "Targeting Cutsomers Under Response-Dependent Costs," IRTG 1792 Discussion Papers 2020-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    41. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    42. Johannes Haupt & Stefan Lessmann, 2020. "Targeting customers under response-dependent costs," Papers 2003.06271, arXiv.org, revised Aug 2021.
    43. Majid Bazarbash, 2019. "FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk," IMF Working Papers 2019/109, International Monetary Fund.
    44. Maria Nareklishvili & Nicholas Polson & Vadim Sokolov, 2022. "Feature Selection for Personalized Policy Analysis," Papers 2301.00251, arXiv.org, revised Jul 2023.
    45. Grépin, Karen A. & Habyarimana, James & Jack, William, 2019. "Cash on delivery: Results of a randomized experiment to promote maternal health care in Kenya," Journal of Health Economics, Elsevier, vol. 65(C), pages 15-30.
    46. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.

  40. Yang, Shu & Imbens, Guido W. & Cui, Zhanglin & Faries, Douglas E. & Kadziola, Zbigniew, 2015. "Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments," Research Papers 3381, Stanford University, Graduate School of Business.

    Cited by:

    1. Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
    2. Caloffi, Annalisa & Freo, Marzia & Ghinoi, Stefano & Mariani, Marco & Rossi, Federica, 2022. "Assessing the effects of a deliberate policy mix: The case of technology and innovation advisory services and innovation vouchers," Research Policy, Elsevier, vol. 51(6).
    3. Zetterqvist, Johan & Waernbaum, Ingeborg, 2020. "Semi-parametric estimation of multi-valued treatment effects for the treated:estimating equations and sandwich estimators," Working Paper Series 2020:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Evan D Peet & Edward N Okeke, 2019. "Utilization and quality: How the quality of care influences demand for obstetric care in Nigeria," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-18, February.
    5. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    6. Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers CWP72/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Atila Abdulkadiroglu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2015. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," NBER Working Papers 21705, National Bureau of Economic Research, Inc.
    8. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    9. Rachel C. Nethery & Yue Yang & Anna J. Brown & Francesca Dominici, 2020. "A causal inference framework for cancer cluster investigations using publicly available data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1253-1272, June.
    10. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    11. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    12. Ashesh Rambachan & Neil Shephard, 2019. "When do common time series estimands have nonparametric causal meaning?," Papers 1903.01637, arXiv.org, revised Jan 2025.
    13. Cei, Leonardo & Stefani, Gianluca & Defrancesco, Edi, 2020. "The role of group-time treatment effect heterogeneity in long standing European agricultural policies. An application to the European geographical indication policy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(01), April.
    14. Siying Guo & Jianxuan Liu & Qiu Wang, 2022. "Effective Learning During COVID-19: Multilevel Covariates Matching and Propensity Score Matching," Annals of Data Science, Springer, vol. 9(5), pages 967-982, October.
    15. Hajime Seya & Takahiro Yoshida, 2017. "Propensity score matching for multiple treatment levels: A CODA-based contribution," Papers 1710.08558, arXiv.org.
    16. Issahaku, Gazali & Abdulai, Awudu, 2020. "Household welfare implications of sustainable land management practices among smallholder farmers in Ghana," Land Use Policy, Elsevier, vol. 94(C).
    17. Pedro H. C. Sant'Anna & Xiaojun Song, 2020. "Specification tests for generalized propensity scores using double projections," Papers 2003.13803, arXiv.org, revised Apr 2023.
    18. Ao Yuan & Anqi Yin & Ming T. Tan, 2021. "Enhanced Doubly Robust Procedure for Causal Inference," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(3), pages 454-478, December.
    19. Yu, Haiyan & Yang, Ching-Chi & Yu, Ping, 2023. "Constrained optimization for stratified treatment rules in reducing hospital readmission rates of diabetic patients," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1355-1364.
    20. María de los Angeles Resa & José R. Zubizarreta, 2020. "Direct and stable weight adjustment in non‐experimental studies with multivalued treatments: analysis of the effect of an earthquake on post‐traumatic stress," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1387-1410, October.
    21. Shu Yang & Jae Kwang Kim, 2020. "Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 839-861, September.
    22. Zhang, Xiaoke & Xue, Wu & Wang, Qiyue, 2021. "Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 163(C).

  41. Susan Athey & Guido Imbens, 2015. "Recursive Partitioning for Heterogeneous Causal Effects," Papers 1504.01132, arXiv.org, revised Dec 2015.

    Cited by:

    1. Nils Droste & Claudia Becker & Irene Ring & Rui Santos, 2018. "Decentralization Effects in Ecological Fiscal Transfers: A Bayesian Structural Time Series Analysis for Portugal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 1027-1051, December.
    2. Daniel Runfola & Ariel BenYishay & Jeffery Tanner & Graeme Buchanan & Jyoteshwar Nagol & Matthias Leu & Seth Goodman & Rachel Trichler & Robert Marty, 2017. "A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration," Sustainability, MDPI, vol. 9(3), pages 1-9, March.
    3. Vikas Ramachandra, 2018. "Causal Inference for Survival Analysis," Papers 1803.08218, arXiv.org.
    4. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    5. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    6. Vikas Ramachandra, 2018. "Deep Learning for Causal Inference," Papers 1803.00149, arXiv.org.

  42. Kolesar, Michal & Chetty, Raj & Friedman, John & Glaeser, Edward Ludwig & Imbens, Guido, 2015. "Identification and Inference With Many Invalid Instruments," Scholarly Articles 27769098, Harvard University Department of Economics.

    Cited by:

    1. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
    2. Nicolas Apfel, 2019. "Relaxing the Exclusion Restriction in Shift-Share Instrumental Variable Estimation," Papers 1907.00222, arXiv.org, revised Jul 2022.
    3. Bertille Antoine & Prosper Dovonon, 2020. "Robust Estimation with Exponentially Tilted Hellinger Distance," Discussion Papers dp20-02, Department of Economics, Simon Fraser University.
    4. Marcellino, Massimiliano & Kapetanios, George & Khalaf, Lynda, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.
    5. Daphne Athanasouli & Antoine Goujard, 2013. "Corruption and Management Practices Firm Level Evidence," UCL SSEES Economics and Business working paper series 121, UCL School of Slavonic and East European Studies (SSEES).
    6. Kirill S. Evdokimov & Michal Kolesár, 2018. "Inference in Instrumental Variable Regression Analysis with Heterogeneous Treatment Effects," Working Papers 2018-16, Princeton University. Economics Department..
    7. Sophie van Huellen & Duo Qin, 2016. "Compulsory Schooling and the Returns to Education: A Re-examination," Working Papers 199, Department of Economics, SOAS University of London, UK.
    8. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2016. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Bristol Economics Discussion Papers 16/674, School of Economics, University of Bristol, UK, revised 08 Aug 2017.
    9. M. Shahe Emran & Asadul Islam & Forhad Shilpi, 2020. "Distributional Effects of Corruption When Enforcement is Biased: Theory and Evidence from Bribery in Schools in Bangladesh," Economica, London School of Economics and Political Science, vol. 87(348), pages 985-1015, October.
    10. Weiming Zhang & Debashis Ghosh, 2021. "A General Approach to Sensitivity Analysis for Mendelian Randomization," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(1), pages 34-55, April.
    11. Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023. "Judging Judge Fixed Effects," American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
    12. Anna Aizer & Joseph J. Doyle, Jr., 2013. "Juvenile Incarceration, Human Capital and Future Crime: Evidence from Randomly-Assigned Judges," NBER Working Papers 19102, National Bureau of Economic Research, Inc.
    13. Frank Windmeijer & Xiaoran Liang & Fernando P. Hartwig & Jack Bowden, 2021. "The confidence interval method for selecting valid instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 752-776, September.
    14. Mertens, Matthias & Müller, Steffen & Neuschäffer, Georg, 2022. "Identifying rent-sharing using firms' energy input mix," IWH Discussion Papers 19/2022, Halle Institute for Economic Research (IWH).
    15. Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2022. "Quasi-experimental shift-share research designs," LSE Research Online Documents on Economics 117788, London School of Economics and Political Science, LSE Library.
    16. Doyle, Joseph J. & Graves, John A. & Gruber, Jonathan, 2017. "Uncovering waste in US healthcare," Journal of Health Economics, Elsevier, vol. 54(C), pages 25-39.
    17. Ahsan, Md Nazmul & Emran, M. Shahe & Shilpi, Forhad, 2024. "On the Rank-Rank Model of Intergenerational Mobility: Pitfalls for Policy Evaluation," MPRA Paper 121676, University Library of Munich, Germany.
    18. Jason Hartford & Victor Veitch & Dhanya Sridhar & Kevin Leyton-Brown, 2020. "Valid Causal Inference with (Some) Invalid Instruments," Papers 2006.11386, arXiv.org.
    19. Kolesar, Michal & Chetty, Raj & Friedman, John & Glaeser, Edward Ludwig & Imbens, Guido, 2015. "Identification and Inference With Many Invalid Instruments," Scholarly Articles 27769098, Harvard University Department of Economics.
    20. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative Asymptotics and the Partially Linear Model with Many Regressors," Papers 1505.08120, arXiv.org.
    21. Hyunseung Kang & Youjin Lee & T. Tony Cai & Dylan S. Small, 2022. "Two robust tools for inference about causal effects with invalid instruments," Biometrics, The International Biometric Society, vol. 78(1), pages 24-34, March.
    22. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    23. Damian Clarke & Benjamín Matta, 2018. "Practical considerations for questionable IVs," Stata Journal, StataCorp LLC, vol. 18(3), pages 663-691, September.
    24. Guo, Zijian & Kang, Hyunseung & Cai, T. Tony & Small, Dylan S., 2018. "Testing endogeneity with high dimensional covariates," Journal of Econometrics, Elsevier, vol. 207(1), pages 175-187.
    25. Joseph J. Doyle, Jr. & John A. Graves & Jonathan Gruber & Samuel Kleiner, 2012. "Do High-Cost Hospitals Deliver Better Care? Evidence from Ambulance Referral Patterns," NBER Working Papers 17936, National Bureau of Economic Research, Inc.
    26. Rui Wang, 2023. "Point Identification of LATE with Two Imperfect Instruments," Papers 2303.13795, arXiv.org.
    27. Daniel A. Broxterman & William D. Larson, 2020. "An empirical examination of shift‐share instruments," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 677-711, September.
    28. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    29. Nicolas Grau & Gonzalo Marivil & Jorge Rivera, 2021. "The effect of pretrial detention on labor market outcomes," Working Papers wp518, University of Chile, Department of Economics.
    30. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    31. Joshua Angrist & Peter Hull & Parag A. Pathak & Christopher R. Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," NBER Working Papers 28241, National Bureau of Economic Research, Inc.
    32. Eugenio Levi & Isabelle Sin & Steven Stillman, 2024. "The lasting impact of external shocks on political opinions and populist voting," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 349-374, January.
    33. Frank Kleibergen & Zhaoguo Zhan, 2025. "Double robust inference for continuous updating GMM," Quantitative Economics, Econometric Society, vol. 16(1), pages 295-327, January.
    34. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    35. Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
    36. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
    37. Nadine Riedel & Martin Simmler, 2021. "Large and influential: Firm size and governments’ corporate tax rate choice," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(2), pages 812-839, May.
    38. Zhaonan Qu & Yongchan Kwon, 2024. "Distributionally Robust Instrumental Variables Estimation," Papers 2410.15634, arXiv.org, revised Dec 2024.
    39. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    40. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    41. Ben-Moshe, Dan & D’Haultfœuille, Xavier & Lewbel, Arthur, 2017. "Identification of additive and polynomial models of mismeasured regressors without instruments," Journal of Econometrics, Elsevier, vol. 200(2), pages 207-222.
    42. Tomás Cortés & Nicolás Grau & Jorge Rivera, 2019. "Juvenile Incarceration and Adult Recidivism," Working Papers wp482, University of Chile, Department of Economics.
    43. Berg,Claudia N. & Blankespoor,Brian & Emran,M. Shahe & Shilpi,Forhad J., 2023. "Does Market Integration Increase Rural Land Inequality ? Evidence from India," Policy Research Working Paper Series 10286, The World Bank.
    44. Jiawei Fu, 2024. "Extracting Mechanisms from Heterogeneous Effects: An Identification Strategy for Mediation Analysis," Papers 2403.04131, arXiv.org, revised Oct 2024.
    45. Hollenbeck, Brett, 2018. "Online Reputation Mechanisms and the Decreasing Value of Chain Affliation," MPRA Paper 91573, University Library of Munich, Germany.
    46. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    47. Alyssa G. Anderson & Wenxin Du & Bernd Schlusche, 2021. "Arbitrage Capital of Global Banks," Finance and Economics Discussion Series 2021-032, Board of Governors of the Federal Reserve System (U.S.).
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    1. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    2. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    3. Crespo, Cristian, 2020. "Two become one: improving the targeting of conditional cash transfers with a predictive model of school dropout," LSE Research Online Documents on Economics 123139, London School of Economics and Political Science, LSE Library.
    4. Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M., 2017. "Sampling-Based vs. Design-Based Uncertainty in Regression Analysis," Research Papers 3349, Stanford University, Graduate School of Business.
    5. Bover, Olympia & Casado, Jose Maria & Costa, Sonia & Du Caju, Philip & McCarthy, Yvonne & Sierminska, Eva & Tzamourani, Panagiota & Villanueva, Ernesto & Zavadil, Tibor, 2014. "The distribution of debt across euro area countries: The role of individual characteristics, institutions and credit conditions," Discussion Papers 01/2014, Deutsche Bundesbank.
    6. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    7. Egerod, Benjamin & Hollenbach, Florian M, 2024. "How many is enough? Sample Size in Staggered Difference-in-Differences Designs," OSF Preprints ac5ru_v1, Center for Open Science.
    8. Atila Abdulkadiroglu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2015. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," NBER Working Papers 21705, National Bureau of Economic Research, Inc.
    9. Hirschauer, Norbert & Gruener, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2019. "Can p-values be meaningfully interpreted without random sampling?," SocArXiv yazr8, Center for Open Science.
    10. Jaeger, Simon C & Ganong, Peter Nathan, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," Scholarly Articles 34222894, Harvard University Department of Economics.
    11. Almond, Douglas & Sun, Yixin, 2017. "Son-biased sex ratios in 2010 US Census and 2011–2013 US natality data," Social Science & Medicine, Elsevier, vol. 176(C), pages 21-24.
    12. Bruno Ferman, 2019. "Inference in Difference-in-Differences: How Much Should We Trust in Independent Clusters?," Papers 1909.01782, arXiv.org, revised Sep 2022.
    13. Paul Frijters & Benno Torgler & Christian Gillitzer & Jin Cong Wang, 2016. "Housing Wealth Effects: Cross-sectional Evidence from New Vehicle Registrations," The Economic Record, The Economic Society of Australia, vol. 92, pages 30-51, June.
    14. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2019. "From Local to Global: External Validity in a Fertility Natural Experiment," Papers 1906.08096, arXiv.org.
    15. Alberto Abadie & Guido W. Imbens & Fanyin Zheng, 2014. "Inference for Misspecified Models With Fixed Regressors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1601-1614, December.
    16. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    17. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
    18. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.
    19. Liu, Xingfei & Wang, Chuhong & Yan, Zizhong & Zhao, Yi, 2022. "Higher Education Expansion and Crime: New Evidence from China," Working Papers 2022-2, University of Alberta, Department of Economics.
    20. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    21. Mechoulan, Stéphane, 2020. "Civil unrest, emergency powers, and spillover effects: A mixed methods analysis of the 2005 French riots," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 305-326.
    22. Cai, Hongbin & Chen, Yuyu & Gong, Qing, 2016. "Polluting thy neighbor: Unintended consequences of China׳s pollution reduction mandates," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 86-104.
    23. Startz, Richard & Steigerwald, Douglas G., 2024. "The variance of regression coefficients when the population is finite," Journal of Econometrics, Elsevier, vol. 240(1).
    24. Ding Peng & Li Xinran & Miratrix Luke W., 2017. "Bridging Finite and Super Population Causal Inference," Journal of Causal Inference, De Gruyter, vol. 5(2), pages 1-8, September.
    25. Bharat Chandar & Ali Hortacsu & John List & Ian Muir & Jeffrey Wooldridge, 2019. "Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings," Natural Field Experiments 00681, The Field Experiments Website.
    26. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    27. Benedikt Holtgen & Robert C. Williamson, 2024. "Causal modelling without introducing counterfactuals or abstract distributions," Papers 2407.17385, arXiv.org, revised Aug 2024.
    28. Hollenbach, Florian M & Egerod, Benjamin, 2024. "How many is enough? Sample Size in Staggered Difference-in-Differences Designs," OSF Preprints ac5ru, Center for Open Science.
    29. Liran Einav & Amy Finkelstein & Neale Mahoney, 2018. "Provider Incentives and Healthcare Costs: Evidence From Long‐Term Care Hospitals," Econometrica, Econometric Society, vol. 86(6), pages 2161-2219, November.

  45. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).

    Cited by:

    1. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    2. Yiming He & Thomas M. Fullerton, 2020. "The economic analysis of instrument variables estimation in dynamic optimal models with an application to the water consumption," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(9), pages 413-423.
    3. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
    4. Jamali Jaghdani, Tinoush & Johansen, Ulf & Thakur, Maitri & Glauben, Thomas, 2024. "Salmon trade duration: The application of firm‐level trade transaction data from the Norwegian salmon industry," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40(2), pages 325-348.
    5. Jingwen Zhang & Yifang Chen & Amandeep Singh, 2022. "Causal Bandits: Online Decision-Making in Endogenous Settings," Papers 2211.08649, arXiv.org, revised Feb 2023.
    6. Biørn, Erik, 2017. "Identification, Instruments, Omitted Variables, and Rudimentary Models: Fallacies in the ‘Experimental Approach’ to Econometrics," Memorandum 13/2017, Oslo University, Department of Economics.
    7. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2016. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Bristol Economics Discussion Papers 16/674, School of Economics, University of Bristol, UK, revised 08 Aug 2017.
    8. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2020. "The effects of quasi-random monetary experiments," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 22-40.
    10. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    11. Kiviet, Jan, 2019. "Instrument-free inference under confined regressor endogeneity; derivations and applications," MPRA Paper 96839, University Library of Munich, Germany.
    12. Frank Windmeijer & Xiaoran Liang & Fernando P. Hartwig & Jack Bowden, 2021. "The confidence interval method for selecting valid instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 752-776, September.
    13. Yuta Ota & Takahiro Hoshino & Taisuke Otsu, 2024. "Causal Inference With Auxiliary Observations," Keio-IES Discussion Paper Series 2024-022, Institute for Economics Studies, Keio University.
    14. Philipp F. M. Baumann & Michael Schomaker & Enzo Rossi, 2020. "Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation," Papers 2003.02208, arXiv.org, revised May 2021.
    15. Philip DeCicca & Donald Kenkel & Feng Liu, 2015. "Reservation Prices: An Economic Analysis of Cigarette Purchases on Indian Reservations," National Tax Journal, National Tax Association;National Tax Journal, vol. 68(1), pages 93-118, March.
    16. Jan F. Kiviet, 2020. "Causes of haze and its health effects in Singapore: a replication study," Working Papers 10/2020, Stellenbosch University, Department of Economics.
    17. Thomas Cornelissen & Christian Dustmann, 2019. "Early School Exposure, Test Scores, and Noncognitive Outcomes," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 35-63, May.
    18. Kedagni, Desire, 2021. "Identifying treatment effects in the presence of confounded types," ISU General Staff Papers 202106050700001056, Iowa State University, Department of Economics.
    19. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    20. Dalia Ghanem & Aaron Smith, 2022. "Causality in structural vector autoregressions: Science or sorcery?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(3), pages 881-904, May.
    21. Alderighi, Stefano & Cleary, Siobhan & Varanasi, Padmasai, 2019. "Do institutional factors influence cross-border portfolio equity flows? New evidence from emerging markets," Journal of International Money and Finance, Elsevier, vol. 99(C).
    22. Vassili Bazinas & Bent Nielsen, 2015. "Causal transmission in reduced-form models," Economics Papers 2015-W07, Economics Group, Nuffield College, University of Oxford.
    23. Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2020. "Policy Evaluation with Multiple Instrumental Variables," NBER Working Papers 27546, National Bureau of Economic Research, Inc.
    24. Hakan Yilmazkuday, 2022. "Inflation and growth: the role of institutions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 167-187, January.
    25. Joachim Merz, 2022. "Are Retirees More Satisfied? Anticipation and Adaptation Effects: A Causal Panel Analysis of German Statutory Insured and Civil Service Pensioners," SOEPpapers on Multidisciplinary Panel Data Research 1163, DIW Berlin, The German Socio-Economic Panel (SOEP).
    26. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    27. Hryckiewicz, Aneta & Kryg, Natalia & Tsomocos, Dimitrios P., 2023. "Bank resolution mechanisms revisited: Towards a new era of restructuring," Journal of Financial Stability, Elsevier, vol. 67(C).
    28. Han Zhang & Jing Qin & Sonja I. Berndt & Demetrius Albanes & Lu Deng & Mitchell H. Gail & Kai Yu, 2020. "On Mendelian randomization analysis of case‐control study," Biometrics, The International Biometric Society, vol. 76(2), pages 380-391, June.
    29. Das, Tirthatanmoy & Polachek, Solomon, 2019. "A New Strategy to Identify Causal Relationships: Estimating a Binding Average Treatment Effect," IZA Discussion Papers 12766, Institute of Labor Economics (IZA).
    30. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    31. Huang, Linyuan & Xie, Rui & Yang, Guohao, 2022. "The impact of lockdown on air pollution: Evidence from an instrument," China Economic Review, Elsevier, vol. 71(C).
    32. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Feb 2025.
    33. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    34. Santeramo, Fabio Gaetano & Searle, Stephanie, 2019. "Linking soy oil demand from the US Renewable Fuel Standard to palm oil expansion through an analysis on vegetable oil price elasticities," Energy Policy, Elsevier, vol. 127(C), pages 19-23.
    35. Abbiati, Giovanni & Azzolini, Davide & Balanskat, Anja & Engelhart, Katja & Piazzalunga, Daniela & Rettore, Enrico & Wastiau, Patricia, 2023. "Effects of an Online Self-Assessment Tool on Teachers' Digital Competencies," IZA Discussion Papers 15863, Institute of Labor Economics (IZA).
    36. Rajeev Darolia & Cory Koedel & Joyce B. Main & Felix Ndashimye & Junpeng Yan, 2020. "High School Course Access and Postsecondary STEM Enrollment and Attainment," Working Papers 2004, Department of Economics, University of Missouri.
    37. Xuran Wang & Yang Jiang & Nancy R. Zhang & Dylan S. Small, 2018. "Sensitivity analysis and power for instrumental variable studies," Biometrics, The International Biometric Society, vol. 74(4), pages 1150-1160, December.
    38. Laura E. Dee & Paul J. Ferraro & Christopher N. Severen & Kaitlin A. Kimmel & Elizabeth T. Borer & Jarrett E. K. Byrnes & Adam Thomas Clark & Yann Hautier & Andrew Hector & Xavier Raynaud & Peter B. R, 2023. "Clarifying the effect of biodiversity on productivity in natural ecosystems with longitudinal data and methods for causal inference," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    39. Bischoff, Oliver & Buchwald, Achim, 2015. "Horizontal and Vertical Firm Networks, Corporate Performance and Product Market Competition," MPRA Paper 63413, University Library of Munich, Germany.
    40. Kiviet, Jan F., 2023. "Instrument-free inference under confined regressor endogeneity and mild regularity," Econometrics and Statistics, Elsevier, vol. 25(C), pages 1-22.
    41. Thomas von Brasch & Arvid Raknerud, 2021. "A two-stage pooled panel data estimator of demand elasticities," Discussion Papers 951, Statistics Norway, Research Department.
    42. Peter Bühlmann & Domagoj Ćevid, 2020. "Deconfounding and Causal Regularisation for Stability and External Validity," International Statistical Review, International Statistical Institute, vol. 88(S1), pages 114-134, December.
    43. Lota Tamini & Ibrahima Bocoum & Ghislain Auger & Kotchikpa Gabriel Lawin & Arahama Traoré, 2019. "Enhanced Microfinance Services and Agricultural Best Management Practices: What Benefits for Smallholders Farmers? An Evidence from Burkina Faso," CIRANO Working Papers 2019s-11, CIRANO.
    44. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    45. Ertefaie Ashkan & Small Dylan & Flory James & Hennessy Sean, 2016. "Selection Bias When Using Instrumental Variable Methods to Compare Two Treatments But More Than Two Treatments Are Available," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 219-232, May.
    46. Meghana Ayyagari & April Knill & Kelsey Syvrud, 2024. "Cross-border political ties: foreign firms’ campaign contributions and the crowding out of domestic competitors," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 55(9), pages 1108-1127, December.
    47. Liana Jacobi & Nhung Nghiem & Andrés Ramírez‐Hassan & Tony Blakely, 2021. "Food Price Elasticities for Policy Interventions: Estimates from a Virtual Supermarket Experiment in a Multistage Demand Analysis with (Expert) Prior Information," The Economic Record, The Economic Society of Australia, vol. 97(319), pages 457-490, December.
    48. Mari, Gabriele & Keizer, Renske, 2020. "Families of Austerity: Welfare Cuts and Family Stress in Britain," SocArXiv vdej8, Center for Open Science.
    49. Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
    50. Hyunseung Kang & Laura Peck & Luke Keele, 2018. "Inference for instrumental variables: a randomization inference approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1231-1254, October.
    51. Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
    52. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    53. Battey, Heather & Feng, Qiang & Smith, Richard J., 2016. "Improving confidence set estimation when parameters are weakly identified," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 117-123.
    54. Stefan Wager & Kuang Xu, 2021. "Experimenting in Equilibrium," Management Science, INFORMS, vol. 67(11), pages 6694-6715, November.
    55. Jin Li & Ye Luo & Zigan Wang & Xiaowei Zhang, 2021. "Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity," Papers 2103.04021, arXiv.org, revised Dec 2024.
    56. Almeida, Carlo Alano Soares de & Fernandes, Kaio César & Oliveira, Denison Murilo de & Rocha, Leonardo Andrade & Silva, Napiê Galvê Araújo, 2020. "Growth and heterogeneity of human capital: effects of the expansion of higher education on the income increase in Brazilian municipalities," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    57. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    58. Kim Kwangho & Kennedy Edward H. & Naimi Ashley I., 2021. "Incremental intervention effects in studies with dropout and many timepoints#," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 302-344, January.
    59. Aepli, Manuel, 2019. "Technological change and occupation mobility: A task-based approach to horizontal mismatch," GLO Discussion Paper Series 361, Global Labor Organization (GLO).
    60. Shuang Chen, 2022. "The Positive Effect of Women’s Education on Fertility in Low-Fertility China," European Journal of Population, Springer;European Association for Population Studies, vol. 38(1), pages 125-161, March.
    61. Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
    62. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

  46. Imbens, Guido W., 2014. "Matching Methods in Practice: Three Examples," IZA Discussion Papers 8049, Institute of Labor Economics (IZA).

    Cited by:

    1. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," IZA Discussion Papers 8987, Institute of Labor Economics (IZA).
    2. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2024. "Who Suffers the Most During the COVID‐19 Pandemic? Evidence From Thailand," The Developing Economies, Institute of Developing Economies, vol. 62(3), pages 238-268, September.
    3. Ihle, Dorothee, 2017. "Quantile treatment effects of Riester participation on wealth," CAWM Discussion Papers 96, University of Münster, Münster Center for Economic Policy (MEP).
    4. Koch, Nicolas & Basse Mama, Houdou, 2019. "Does the EU Emissions Trading System induce investment leakage? Evidence from German multinational firms," Energy Economics, Elsevier, vol. 81(C), pages 479-492.
    5. Fernando M. Aragon, 2014. "Do better property rights improve local income?: Evidence from First Nations' treaties," Discussion Papers dp14-02, Department of Economics, Simon Fraser University.
    6. Mary F. Evans, 2016. "The Clean Air Act Watch List: An Enforcement and Compliance Natural Experiment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 627-665.
    7. Nathalie Greenan & Pierre-Jean Messe, 2018. "Transmission of vocational skills in the second part of careers: the effect of ICT and management changes [Transmission des compétences professionnelles dans la seconde partie des carrières: l'effe," Post-Print hal-01824090, HAL.
    8. Shiying Zhang, 2017. "Effects of attending preschool on adolescents’ outcomes: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 49(27), pages 2618-2629, June.
    9. Uckat,Hannah Irmela, 2023. "Leaning in at Home : Women's Promotions and Intra-household Bargaining in Bangladesh," Policy Research Working Paper Series 10370, The World Bank.
    10. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
    11. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," Discussion Papers of DIW Berlin 1630, DIW Berlin, German Institute for Economic Research.
    12. Wagener, Andreas & Zenker, Juliane, 2018. "Decoupled but not neutral: The effects of stochastic transfers on investment and incomes in rural Thailand," TVSEP Working Papers wp-008, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    13. Pierre Lefebvre & Philip Merrigan, 2022. "Why Subsidize Independent Schools? Estimating the Effect of a Unique Canadian Schooling Model on Educational Attainment," Mathematics, MDPI, vol. 10(4), pages 1-22, February.
    14. Huang, Zengjian & Wang, Leyi & Meng, Jing, 2024. "Does rural e-commerce improve the economic resilience of family farms?," International Review of Economics & Finance, Elsevier, vol. 95(C).
    15. Dario Cestau & Dennis Epple & Richard Romano & Holger Sieg & Carl Wojtaszek, 2020. "College Achievement and Attainment Gaps: Evidence from West Point Cadets," NBER Working Papers 27162, National Bureau of Economic Research, Inc.
    16. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
    17. Al Abri, Ibtisam & Bi, Xiang & Mullally, Conner & Hodges, Alan, 2017. "Under what conditions does it pay to be sustainable? Sources of heterogeneity in corporate sustainability impacts," Economics Letters, Elsevier, vol. 159(C), pages 15-17.
    18. Eva-Maria Egger & Julie Litchfield, 2019. "Following in their footsteps: an analysis of the impact of successive migration on rural household welfare in Ghana," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-22, December.
    19. Hirota, Haruaki & Yunoue, Hideo, 2017. "Evaluation of the fiscal effect on municipal mergers: Quasi-experimental evidence from Japanese municipal data," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 132-149.
    20. Dominique Meurs & Pierre Pora, 2025. "Traditional Views, Egalitarian Views, and the Child Penalty: Insights from Immigrant Populations in France," EconomiX Working Papers 2025-10, University of Paris Nanterre, EconomiX.
    21. Flawinne, Xavier & Lefebvre, Mathieu & Perelman, Sergio & Pestieau, Pierre & Schoenmaeckers, Jérôme, 2022. "Nursing homes and mortality in Europe: Uncertain causality," LIDAM Reprints CORE 3211, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    22. Decker, Simon & Schmitz, Hendrik, 2015. "Health shocks and risk aversion," Ruhr Economic Papers 581, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    23. Esther Mirjam Girsberger & Romuald Méango & Hillel Rapoport, 2020. "Regional migration and wage inequality in the West African economic and monetary union," PSE-Ecole d'économie de Paris (Postprint) halshs-02491701, HAL.
    24. Gerhard Krug, 2017. "Augmenting propensity score equations to avoid misspecification bias – Evidence from a Monte Carlo simulation [Erweiterung der Propensity Score Gleichung zur Vermeidung von Fehlspezifikationen? Ein," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(3), pages 205-231, December.
    25. Kiefner, Valentin & Mohr, Alexander & Schumacher, Christian, 2022. "Female executives and multinationals’ support of the UN's sustainable development goals," Journal of World Business, Elsevier, vol. 57(3).
    26. Feir, Donn. L. & Foley, Kelly & Jones, Maggie E. C., 2022. "Heterogeneous Returns to Active Labour Market Programs for Indigenous Populations," IZA Discussion Papers 15358, Institute of Labor Economics (IZA).
    27. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    28. Shiko Maruyama & Sayaka Nakamura, 2021. "Wholesome Lunch to the Whole Classroom: Short- and Longer-Term Effects on Early Teenagers' Weight," Working Papers e160, Tokyo Center for Economic Research.
    29. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
    30. Kauhanen, Antti, 2018. "The Effects of an Education-Leave Program on Educational Attainment and Labor-Market Outcomes," ETLA Working Papers 56, The Research Institute of the Finnish Economy.
    31. Aliprantis, Dionissi & Fee, Kyle & Schweitzer, Mark E., 2023. "Opioids and the labor market," Labour Economics, Elsevier, vol. 85(C).
    32. Apoorva Gupta & Ila Patnaik & Ajay Shah, 2019. "Exporting and Firm Performance: Evidence from India," Working Papers id:12969, eSocialSciences.
    33. Lee, Ji Yong & Nayga Jr, Rodolfo M. & Jo, Young & Restrepo, Brandon J., 2022. "Time use and eating patterns of SNAP participants over the benefit month," Food Policy, Elsevier, vol. 106(C).
    34. Liu, Yukun & Qin, Jing, 2024. "Tuning-parameter-free propensity score matching approach for causal inference under shape restriction," Journal of Econometrics, Elsevier, vol. 244(1).
    35. Habimana, Dominique & Haughton, Jonathan & Nkurunziza, Joseph & Haughton, Dominique Marie-Annick, 2021. "Measuring the impact of unconditional cash transfers on consumption and poverty in Rwanda," World Development Perspectives, Elsevier, vol. 23(C).
    36. Hirota, Haruaki & Yunoue, Hideo, 2020. "Public investment and the fiscal common pool problem on municipal mergers in Japan," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 124-135.
    37. Habimana, Dominique & Haughton, Jonathan, 2022. "Does Rwanda’s flagship microcredit programme boost agriculture and incomes?," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(3), September.
    38. Nicholas W. Papageorge & Gwyn C. Pauley & Mardge Cohen & Tracey E. Wilson & Barton H. Hamilton & Robert A. Pollak, 2016. "Health, Human Capital and Domestic Violence," NBER Working Papers 22887, National Bureau of Economic Research, Inc.
    39. Wei Tang & Geoffrey J.D. Hewings, 2017. "Do city–county mergers in China promote local economic development?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(3), pages 439-469, July.
    40. Delius, Antonia & Sterck, Olivier, 2024. "Cash transfers and micro-enterprise performance: Theory and quasi-experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 167(C).
    41. Kazuhiko SUMIYA & Jesper BAGGER, 2022. "Income Taxes, Gross Hourly Wages, and the Anatomy of Behavioral Responses: Evidence from a Danish tax reform," Discussion papers 22077, Research Institute of Economy, Trade and Industry (RIETI).
    42. Åslund, Olof & Blind, Ina & Dahlberg, Matz, 2015. "All aboard? Commuter train access and labor market outcomes," Working Paper Series 2015:25, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    43. Sato, Yoshihiro & Ando, Michihito, 2017. "Does Assigning More Women to Managerial Positions Enhance Firm Productivity? Evidence from Sweden," EIJS Working Paper Series 242, Stockholm School of Economics, The European Institute of Japanese Studies.
    44. Kevin, Todd & Heining, Jörg, 2020. "The Labor Market Impacts of Employer Consolidation: Evidence from Germany," IAB-Discussion Paper 202020, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    45. Akio Yamazaki, 2020. "Environmental Taxes and Productivity: Lessons from Canadian Manufacturing," GRIPS Discussion Papers 19-32, National Graduate Institute for Policy Studies.
    46. Matthew J. Hill & Nicole Maestas & Kathleen J. Mullen, 2014. "Employer accommodation and labor supply of disabled workers," Economics Working Papers 1450, Department of Economics and Business, Universitat Pompeu Fabra.
    47. Marguerite Burns & Laura Dague, 2023. "In-Kind Welfare Benefits and Reincarceration Risk: Evidence from Medicaid," NBER Working Papers 31394, National Bureau of Economic Research, Inc.
    48. Enflo, Kerstin & Cermeño, Alexandra, 2018. "Can Kings Create Towns that Thrive? The long-run implications of new town foundations," CEPR Discussion Papers 13392, C.E.P.R. Discussion Papers.
    49. Ali Merima & Shifa Abdulaziz B. & Shimeles Abebe & Woldeyes Firew, 2017. "Working Paper 290 - Building Fiscal Capacity The role of ICT," Working Paper Series 2404, African Development Bank.
    50. Benjamin Lu & Eli Ben-Michael & Avi Feller & Luke Miratrix, 2023. "Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 420-453, August.
    51. Javier Gardeazabal & Eduardo Polo-Muro, 2022. "Cultural expenditure of those who enter (or exit) unemployment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(4), pages 571-596, December.
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    235. Pessôa, Ana Carolina M. & Morello R.S., Thiago F. & Silva-Junior, Celso H.L. & Doblas, Juan & Carvalho, Nathália S. & Aragão, Luiz E.O.C. & Anderson, Liana O., 2023. "Protected areas are effective on curbing fires in the Amazon," Ecological Economics, Elsevier, vol. 214(C).
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    Cited by:

    1. Andres Irarrazaval, 2022. "The Fiscal Origins of Comparative Inequality levels: An Empirical and Historical Investigation," Working Papers wp531, University of Chile, Department of Economics.
    2. Dawid, Philip & Humphreys, Macartan & Musio, Monica, 2022. "Bounding Causes of Effects With Mediators," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.
    3. Joel Bank & Hamish Fitchett & Adam Gorajek & Benjamin Malin & Andrew Staib, 2021. "Star Wars at Central Banks," Reserve Bank of New Zealand Discussion Paper Series DP2021/01, Reserve Bank of New Zealand.
    4. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    5. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    6. Tonoyan, Vartuhi & Boudreaux, Christopher J., 2023. "Gender diversity in firm ownership: Direct and indirect effects on firm-level innovation across 29 emerging economies," Research Policy, Elsevier, vol. 52(4).
    7. Ellger, Fabio & Hilbig, Hanno & Riaz, Sascha & Tillmann, Philipp, 2024. "Local Newspaper Decline and Political Polarization – Evidence from a Multi-Party Setting," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(4), pages 1256-1275.
    8. Sandeep Devanatha Pillai & Brent Goldfarb & David Kirsch, 2024. "Lovely and likely: Using historical methods to improve inference to the best explanation in strategy," Strategic Management Journal, Wiley Blackwell, vol. 45(8), pages 1539-1566, August.
    9. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
    10. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    11. Jeffery A. Jenkins & Nolan McCarty & Charles Stewart, 2020. "Learning from each other: causal inference and American political development," Public Choice, Springer, vol. 185(3), pages 245-251, December.
    12. Mike Brewer & Thang Dang & Emma Tominey, 2022. "Universal Credit: Welfare Reform and Mental Health," Working Papers 2022-008, Human Capital and Economic Opportunity Working Group.
    13. Russell Hillberry & Phillip McCalman, 2016. "Import dynamics and demands for protection," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 1125-1152, August.
    14. Joep Cornelissen & Mariëtte Kaandorp, 2023. "Towards Stronger Causal Claims in Management Research: Causal Triangulation Instead of Causal Identification," Journal of Management Studies, Wiley Blackwell, vol. 60(4), pages 834-860, June.
    15. Francisco J. Beltrán Tapia & Domingo Gallego, 2015. "Where are the missing girls? Gender discrimination in mid-19th century Spain," Working Papers 23, Department of Economic and Social History at the University of Cambridge.
    16. Addis G. Birhanu & Alfonso Gambardella & Giovanni Valentini, 2016. "Bribery and investment: Firm-level evidence from Africa and Latin America," Strategic Management Journal, Wiley Blackwell, vol. 37(9), pages 1865-1877, September.
    17. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    18. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    19. Kristin Behfar & Gerardo A. Okhuysen, 2018. "Perspective—Discovery Within Validation Logic: Deliberately Surfacing, Complementing, and Substituting Abductive Reasoning in Hypothetico-Deductive Inquiry," Organization Science, INFORMS, vol. 29(2), pages 323-340, April.
    20. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
    21. Neil Christy & Amanda Ellen Kowalski, 2024. "Counting Defiers in Health Care: A Design-Based Model of an Experiment Can Reveal Evidence Against Monotonicity," Papers 2412.16352, arXiv.org, revised Mar 2025.
    22. Mathew, Nanditha & Napolitano, Lorenzo & Rizzo, Ugo, 2020. "The role of domestic-firm knowledge in foreign R&D collaborations: Evidence from co-patenting in Indian firms," MERIT Working Papers 2020-044, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    23. Philip Dawid & Macartan Humphreys & Monica Musio, 2019. "Bounding Causes of Effects with Mediators," Papers 1907.00399, arXiv.org.
    24. André de Abreu Saraiva Monteiro Alves & Marcelo Pereira Duarte & Fernando Manuel Pereira de Oliveira Carvalho, 2022. "A Perspective on Administrative Distance: Theoretical Development and Measurement," SAGE Open, , vol. 12(4), pages 21582440221, December.
    25. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    26. Daan Kolkman & Arjen van Witteloostuijn, 2019. "Data Science in Strategy: Machine learning and text analysis in the study of firm growth," Tinbergen Institute Discussion Papers 19-066/VI, Tinbergen Institute.
    27. Alex W. Bartik & Evan Mast, 2021. "Black Suburbanization: Causes and Consequences of a Transformation of American Cities," Upjohn Working Papers 21-355, W.E. Upjohn Institute for Employment Research.
    28. Esterling, Kevin M. & Brady, David & Schwitzgebel, Eric, 2023. "The Necessity of Construct and External Validity for Generalized Causal Claims," I4R Discussion Paper Series 18, The Institute for Replication (I4R).
    29. Alfonso Gambardella & Pooyan Khashabi & Claudio Panico, 2020. "Managing Autonomy in Industrial Research and Development: A Project-Level Investigation," Organization Science, INFORMS, vol. 31(1), pages 165-181, January.
    30. John Mullahy, 2019. "Health and evidence in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1163-1165, October.
    31. Wolfgang Sofka & Christoph Grimpe & Fuad Hasanov & Reda Cherif, 2022. "Additionality or opportunism: Do host-country R&D subsidies impact innovation in foreign MNC subsidiaries?," Journal of International Business Policy, Palgrave Macmillan, vol. 5(3), pages 296-327, September.
    32. Andres Irarrazaval, 2023. "The Pillars of Shared Prosperity: Insights From Elite versus State Extraction And From a New Instrument," Working Papers wp549, University of Chile, Department of Economics.
    33. van der Klaauw, Bas & Oosterbeek, Hessel & Sóvágó, Sándor, 2019. "Why are schools segregated? Evidence from the secondary-school match in Amsterdam," CEPR Discussion Papers 13462, C.E.P.R. Discussion Papers.
    34. Neil Christy & A. E. Kowalski, 2024. "Starting Small: Prioritizing Safety over Efficacy in Randomized Experiments Using the Exact Finite Sample Likelihood," Papers 2407.18206, arXiv.org.

  48. Guido W. Imbens & Michal Kolesar, 2012. "Robust Standard Errors in Small Samples: Some Practical Advice," NBER Working Papers 18478, National Bureau of Economic Research, Inc.

    Cited by:

    1. James G. MacKinnon, 2014. "Wild Cluster Bootstrap Confidence Intervals," Working Paper 1329, Economics Department, Queen's University.
    2. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. James G. MacKinnon, 2021. "Fast cluster bootstrap methods for linear regression models," Working Paper 1465, Economics Department, Queen's University.
    4. Alessie, Rob J.M. & Angelini, Viola & van den Berg, Gerard J. & Mierau, Jochen O. & Viluma, Laura, 2019. "Economic conditions at birth and cardiovascular disease risk in adulthood: Evidence from post-1950 cohorts," Social Science & Medicine, Elsevier, vol. 224(C), pages 77-84.
    5. Peter Z. Schochet, "undated". "Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs," Mathematica Policy Research Reports a0c005c003c242308a92c02dc, Mathematica Policy Research.
    6. Heather Congdon Fors & Kenneth Houngbedji & Annika Lindskog, 2017. "Land Certification and Schooling in Rural Ethiopia," Working Papers halshs-01202695, HAL.
    7. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LLC, vol. 23(4), pages 942-982, December.
    8. Ferman, Bruno & Pinto, Cristine Campos de Xavier, 2015. "Inference in differences-in-differences with few treated groups and heteroskedasticity," Textos para discussão 406, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    9. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
    10. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2022. "Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference," Working Paper 1485, Economics Department, Queen's University.
    11. Wang, Wenjie & Zhang, Yichong, 2024. "Wild bootstrap inference for instrumental variables regressions with weak and few clusters," Journal of Econometrics, Elsevier, vol. 241(1).
    12. Oliver Falck & Alexandra Heimisch & Simon Wiederhold, 2016. "Returns to ICT Skills," OECD Education Working Papers 134, OECD Publishing.
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    79. Chirok Han & Hyoungjong Kim, 2023. "Heteroskedasticity‐Robust Standard Errors for Dynamic Panel Data Models with Fixed Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1135-1155, October.
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  49. Alberto Abadie & Guido W. Imbens & Fanyin Zheng, 2011. "Robust Inference for Misspecified Models Conditional on Covariates," NBER Working Papers 17442, National Bureau of Economic Research, Inc.

    Cited by:

    1. Patrick M. Kline, 2014. "A Note on Variance Estimation for the Oaxaca Estimator of Average Treatment Effects," NBER Working Papers 19784, National Bureau of Economic Research, Inc.
    2. Joshua Angrist & Miikka Rokkanen, 2012. "Wanna Get Away? RD Identification Away from the Cutoff," NBER Working Papers 18662, National Bureau of Economic Research, Inc.

  50. Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesar, 2010. "Clustering, Spatial Correlations and Randomization Inference," NBER Working Papers 15760, National Bureau of Economic Research, Inc.

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    1. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2018. "Climate Change, Salinization and High-Yield Rice Production in Coastal Bangladesh," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 66-89, April.
    2. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    3. Jisang Yu & Nelson B. Villoria & Nathan P. Hendricks, 2020. "The Incidence of Foreign Market Accessibility on Farmland Rental Rates," NBER Working Papers 27180, National Bureau of Economic Research, Inc.
    4. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    5. Kazuyuki MOTOHASHI & Qiuhan ZHAO, 2023. "University as a Knowledge Source of Innovation: A spatial analysis of the impact on local high-tech startup creation," Discussion papers 23027, Research Institute of Economy, Trade and Industry (RIETI).
    6. Gustavo J. Bobonis & Mark Stabile & Leonardo Tovar, 2019. "Military Training Exercises, Pollution, and their Consequences for Health," Working Papers tecipa-643, University of Toronto, Department of Economics.
    7. Pablo Casas-Arce & Albert Saiz, 2015. "Women and Power: Unpopular, Unwilling, or Held Back?," Journal of Political Economy, University of Chicago Press, vol. 123(3), pages 641-669.
    8. Baylis, Kathy & Ham, Andres, 2015. "How important is spatial correlation in randomized controlled trials?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205586, Agricultural and Applied Economics Association.
    9. Bertocchi, Graziella & Dimico, Arcangelo, 2019. "The long-term determinants of female HIV infection in Africa: The slave trade, polygyny, and sexual behavior," Journal of Development Economics, Elsevier, vol. 140(C), pages 90-105.
    10. Chen, Daniel L. & Levonyan, Vardges & Yeh, Susan, 2016. "Policies Affect Preferences: Evidence from Random Variation in Abortion Jurisprudence," TSE Working Papers 16-723, Toulouse School of Economics (TSE).
    11. Yu, Jisang & Villoria, Nelson B. & Hendricks, Nathan P., 2022. "The incidence of foreign market tariffs on farmland rental rates," Food Policy, Elsevier, vol. 112(C).
    12. Bruno Ferman, 2019. "Assessing Inference Methods," Papers 1912.08772, arXiv.org, revised Oct 2022.
    13. Liran Einav & Jonathan D. Levin, 2013. "The Data Revolution and Economic Analysis," NBER Working Papers 19035, National Bureau of Economic Research, Inc.
    14. Humphreys, Macartan & de la Sierra, Raúl Sánchez & der Windt, Peter Van, 2019. "Exporting democratic practices: Evidence from a village governance intervention in Eastern Congo," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 140, pages 279-301.
    15. Chen, Daniel L., 2018. "Judicial Analytics and the Great Transformation of American Law," TSE Working Papers 18-974, Toulouse School of Economics (TSE).
    16. Breinlich, Holger & Ottaviano, Gianmarco I P & Temple, Jonathan R, 2013. "Regional Growth and Regional Decline," Economics Discussion Papers 8977, University of Essex, Department of Economics.
    17. Athey, Susan & Eckles, Dean & Imbens, Guido W., 2015. "Exact P-Values for Network Interference," Research Papers 3351, Stanford University, Graduate School of Business.
    18. Shanjun Li & Ramanan Laxminarayan, 2015. "Are Physicians' Prescribing Decisions Sensitive to Drug Prices? Evidence from a Free‐antibiotics Program," Health Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 158-174, February.
    19. Chen, Daniel L. & Yeh, Susan, 2016. "How Do Rights Revolutions Occur? Free Speech and the First Amendment," TSE Working Papers 16-705, Toulouse School of Economics (TSE).
    20. Chen, Daniel L. & Yeh, Susan, 2016. "Government Expropriation Increases Economic Growth and Racial Inequality: Evidence from Eminent Domain," TSE Working Papers 16-693, Toulouse School of Economics (TSE).
    21. Singh, Tejendra Pratap, 2022. "Beyond The Haze: Air Pollution and Student Absenteeism - Evidence from India," OSF Preprints pcva2, Center for Open Science.
    22. Humphreys, Macartan & de la Sierra, Raul Sanchez & van der Windt, Peter Cornelis, 2020. "Exporting Democratic Practices: Evidence from a Village Governance Intervention in Eastern Congo," SocArXiv mn24b, Center for Open Science.
    23. Rafael Becerril-Arreola & Randolph E. Bucklin & Raphael Thomadsen, 2021. "Effects of Income Distribution Changes on Assortment Size in the Mainstream Grocery Channel," Management Science, INFORMS, vol. 67(9), pages 5878-5900, September.
    24. Hanlon, W. Walker & Miscio, Antonio, 2017. "Agglomeration: A long-run panel data approach," Journal of Urban Economics, Elsevier, vol. 99(C), pages 1-14.
    25. Chen, Daniel L. & Yeh, Susan, 2022. "How do rights revolutions occur? Free speech and the first amendment," TSE Working Papers 22-1396, Toulouse School of Economics (TSE).
    26. Marco Francesconi & Jonathan James, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(4), pages 1118-1156, September.
    27. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
    28. Brewer Mike & Crossley Thomas F. & Joyce Robert, 2018. "Inference with Difference-in-Differences Revisited," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-16, January.
    29. Bruno Ferman, 2019. "Inference in Difference-in-Differences: How Much Should We Trust in Independent Clusters?," Papers 1909.01782, arXiv.org, revised Sep 2022.
    30. van der Windt, Peter Cornelis & Humphreys, Macartan, 2020. "Crowdseeding in Eastern Congo: Using Cell Phones to Collect Conflict Events Data in Real Time," SocArXiv u3mvf, Center for Open Science.
    31. Chen, Daniel L. & Sethi, Jasmin, 2016. "Insiders, Outsiders, and Involuntary Unemployment: Sexual Harrassment Exacerbates Gender Inequality," TSE Working Papers 16-687, Toulouse School of Economics (TSE).
    32. Schechter, Laura & Vasudevan, Srinivasan, 2023. "Persuading voters to punish corrupt vote-buying candidates: Experimental evidence from a large-scale radio campaign in India," Journal of Development Economics, Elsevier, vol. 160(C).
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    1. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, Institute of Labor Economics (IZA).
    2. Ulrike Unterhofer, 2022. "Peer Effects in Labor Market Training," Papers 2211.12366, arXiv.org, revised Jun 2023.
    3. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    4. Alan Andre Borges da Costa & Sergio Pinheiro Firpo, 2018. "An analysis of the distributive effects of public policies and their spillovers," Working Papers, Department of Economics 2018_06, University of São Paulo (FEA-USP).
    5. Buhai, I. Sebastian & van der Leij, Marco J., 2023. "A Social Network Analysis of Occupational Segregation," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    6. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
    7. Thiemann, Petra, 2017. "The Persistent Effects of Short-Term Peer Groups in Higher Education," IZA Discussion Papers 11024, Institute of Labor Economics (IZA).
    8. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    9. Brian Krauth, 2020. "Peers as treatments," Discussion Papers dp20-08, Department of Economics, Simon Fraser University.
    10. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo.
    11. Antonio Ciccone & Walter Garcia-Fontes, 2014. "Gender peer effects in school, a birth cohort approach," Economics Working Papers 1424, Department of Economics and Business, Universitat Pompeu Fabra.
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    21. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    22. Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2017. "Optimal Design of Experiments in the Presence of Interference*, Second Version," PIER Working Paper Archive 16-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 30 Nov 2017.
    23. Aurélien Sallin & Simone Balestra, 2022. "The Earth is Not Flat: A New World of High-Dimensional Peer Effects," Economics of Education Working Paper Series 0189, University of Zurich, Department of Business Administration (IBW).
    24. Elizabeth L. Ogburn & Ilya Shpitser & Youjin Lee, 2020. "Causal inference, social networks and chain graphs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1659-1676, October.
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  52. Guido Imbens & Karthik Kalyanaraman, 2010. "Optimal bandwidth choice for the regression discontinuity estimator," CeMMAP working papers CWP05/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

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    1. Massimiliano Ferraresi & Leonzio Rizzo & Alberto Zanardi, 2015. "Policy outcomes of single and double-ballot elections," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(6), pages 977-998, December.
    2. Hoang, Trung & Le, Duong & Nguyen, Ha & Vuong, Nguyen, 2019. "Labor Market Impacts and Responses: The Economic Consequences of a Marine Environmental Disaster," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290963, Agricultural and Applied Economics Association.
    3. Andrew Dustan & Alain De janvry & Elisabeth Sadoulet, 2015. "Flourish or Fail? The Risky Reward of Elite High School Admission in Mexico City," Vanderbilt University Department of Economics Working Papers 15-00002, Vanderbilt University Department of Economics.
    4. Chuard, Caroline, 2020. "Womb at work: The missing impact of maternal employment on newborn health," Journal of Health Economics, Elsevier, vol. 73(C).
    5. Jing You & Samuel Annim, 2014. "The Impact of Microcredit on Child Education: Quasi-experimental Evidence from Rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 50(7), pages 926-948, July.
    6. Leonardo Becchetti & Massimo Ferrari, 2013. "The impact of the French Tobin tax," Econometica Working Papers wp47, Econometica.
    7. Yörük, BarIs K. & Yörük, Ceren Ertan, 2011. "The impact of minimum legal drinking age laws on alcohol consumption, smoking, and marijuana use: Evidence from a regression discontinuity design using exact date of birth," Journal of Health Economics, Elsevier, vol. 30(4), pages 740-752, July.
    8. Gaurav Khanna & Carlos Medina & Anant Nyshadham & Jorge Tamayo, 2019. "Formal Employment and Organized Crime: Regression Discontinuity Evidence from Colombia," Working Papers 520, Center for Global Development.
    9. Brian G. Moss & William H. Yeaton, 2013. "Evaluating Effects of Developmental Education for College Students Using a Regression Discontinuity Design," Evaluation Review, , vol. 37(5), pages 370-404, October.
    10. Maximilian von Ehrlich & Tobias Seidel, 2015. "The persistent effects of place-based policy: Evidence from the West-German Zonenrandgebiet," Diskussionsschriften dp1506, Universitaet Bern, Departement Volkswirtschaft.
    11. Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2021. "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers CWP16/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Francesca Carta & Lucia Rizzica, 2015. "Female employment and pre-kindergarten: on the uninteded effects of an Italian reform," Temi di discussione (Economic working papers) 1030, Bank of Italy, Economic Research and International Relations Area.
    13. Yingying Dong, 2011. "Jumpy or Kinky? Regression Discontinuity without the Discontinuity," Working Papers 111207, University of California-Irvine, Department of Economics.
    14. Scott Dallman & Anusha Nath & Filip Premik, 2021. "The Effect of Constitutional Provisions on Education Policy and Outcomes," Staff Report 623, Federal Reserve Bank of Minneapolis.
    15. Yoichi Arai & Hidehiko Ichimura, 2014. "Simultaneous Selection of Optimal Bandwidths for the Sharp Regression Discontinuity Estimator," CIRJE F-Series CIRJE-F-927, CIRJE, Faculty of Economics, University of Tokyo.
    16. Albert Solé-Ollé & Elisabet Viladecans Marsal, 2013. "Do Political Parties Matter for Local Land Use Policies?," CESifo Working Paper Series 4284, CESifo.
    17. Park, Albert & Shi, Xinzheng & Hsieh, Chang-tai & An, Xuehui, 2015. "Magnet high schools and academic performance in China: A regression discontinuity design," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 825-843.
    18. Pitt, Mark M., 2014. "Re-re-reply to"the impact of microcredit on the poor in Bangladesh : revisiting the evidence"," Policy Research Working Paper Series 6801, The World Bank.
    19. Decio Coviello & Andrea Guglielmo & Giancarlo Spagnolo, 2016. "The effect of discretion on procurement performance," CEP Discussion Papers dp1427, Centre for Economic Performance, LSE.
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    22. Rajshri Jayaraman & Debraj Ray & Francis de Véricourt, 2014. "Productivity Response to a Contract Change," CESifo Working Paper Series 4679, CESifo.
    23. Sandra E. Black & Paul J. Devereux & Katrine V. Løken & Kjell G. Salvanes, 2012. "Care or Cash? The Effect of Child Care Subsidies on Student Performance," NBER Working Papers 18086, National Bureau of Economic Research, Inc.
    24. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Papers 2112.03096, arXiv.org, revised Jan 2023.
    25. Uckat,Hannah Irmela, 2023. "Leaning in at Home : Women's Promotions and Intra-household Bargaining in Bangladesh," Policy Research Working Paper Series 10370, The World Bank.
    26. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
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    28. Chen, Yi & Zhao, Yi, 2022. "The timing of first marriage and subsequent life outcomes: Evidence from a natural experiment," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 713-731.
    29. Dang, Hai-Anh H. & Trinh, Trong-Anh, 2021. "Does the COVID-19 lockdown improve global air quality? New cross-national evidence on its unintended consequences," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
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    31. Iván Higuera-Mendieta, 2016. "Persistencias históricas y discontinuidades espaciales: territorios comunitarios en el Pacífico colombiano," Documentos de Trabajo Sobre Economía Regional y Urbana 14635, Banco de la República, Economía Regional.
    32. Mahmoud A. A. Elsayed, 2019. "Keeping Kids in School: The Long-Term Effects of Extending Compulsory Education," Education Finance and Policy, MIT Press, vol. 14(2), pages 242-271, Spring.
    33. Marcel Fafchamps & Julien Labonne, 2014. "Do Politicians' Relatives Get Better Jobs? Evidence from Municipal Elections," CSAE Working Paper Series 2014-37, Centre for the Study of African Economies, University of Oxford.
    34. Francisco Gallego & Juan-Pablo Montero & Christian Salas, 2011. "The Effect of Transport Policies on Car Use: Theory and Evidence from Latin American Cities," Documentos de Trabajo 407, Instituto de Economia. Pontificia Universidad Católica de Chile..
    35. Cappelletti, Giuseppe & Guazzarotti, Giovanni & Tommasino, Pietro, 2017. "The stock market effects of a securities transaction tax: Quasi-experimental evidence from Italy," Journal of Financial Stability, Elsevier, vol. 31(C), pages 81-92.
    36. Fairlie, Robert, 2014. "Job Lock: Evidence from a Regression Discontinuity Design," Santa Cruz Department of Economics, Working Paper Series qt4947535x, Department of Economics, UC Santa Cruz.
    37. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    38. Le, Dung D. & Nguyen, Minh T. & Ibuka, Yoko, 2025. "Intergenerational effects of education on child mortality: Evidence from the compulsory primary schooling law in Vietnam," World Development, Elsevier, vol. 185(C).
    39. Jonathan Smith & Michael Hurwitz & Christopher Avery, 2015. "Giving College Credit Where it is Due: Advanced Placement Exam Scores and College Outcomes," NBER Working Papers 21147, National Bureau of Economic Research, Inc.
    40. Fanny Landaud & Son Thierry Ly & Éric Maurin, 2020. "Competitive Schools and the Gender Gap in the Choice of Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 278-308.
    41. Rafael Matta & Rafael P. Ribas & Breno Sampaio & Gustavo R. Sampaio, 2016. "The effect of age at school entry on college admission and earnings: a regression-discontinuity approach," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-25, December.
    42. De Benedetto, Marco Alberto, 2018. "Quality of Politicians and Electoral System. Evidence from a Quasi-experimental Design for Italian Cities," MPRA Paper 89511, University Library of Munich, Germany.
    43. Ing-Haw Cheng & Harrison Hong & Kelly Shue, 2013. "Do Managers Do Good with Other People's Money?," NBER Working Papers 19432, National Bureau of Economic Research, Inc.
    44. Andra Hiriscau, 2024. "The Effect of Paid Maternity Leave on Fertility and Mothers’ Labor Force Participation," Journal of Labor Research, Springer, vol. 45(3), pages 350-384, September.
    45. Liepmann, Hannah. & Pignatti, Clemente., 2021. "Welfare effects of unemployment benefits when informality is high," ILO Working Papers 995141693302676, International Labour Organization.
    46. Shi, Xunpeng & Tian, Binbin & Yang, Longjian & Yu, Jian & Zhou, Siyang, 2023. "How do regulatory environmental policies perform? A case study of China's Top-10,000 enterprises energy-saving program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    47. Christian Bruns & Mariana Lopes da Fonseca, 2023. "On Defaults, Framing, and Local Tax Policy: Quasi-Experimental Evidence from Portugal," CESifo Working Paper Series 10582, CESifo.
    48. Jonathan Lehne & Jacob N. Shapiro & Oliver Vanden Eynde, 2016. "Building connections: Political corruption and road construction in India," Working Papers halshs-01349350, HAL.
    49. Steinhauer, Andreas, 2018. "Working Moms, Childlessness, and Female Identity," CEPR Discussion Papers 12929, C.E.P.R. Discussion Papers.
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    51. Kruse, Herman & Myhre, Andreas, 2021. "Early Retirement Provision for Elderly Displaced Workers," MPRA Paper 118689, University Library of Munich, Germany, revised 21 Sep 2023.
    52. Patrick Button, 2015. "A Replication of 'Do Voters Affect or Elect Policies? Evidence from the U.S. House' (The Quarterly Journal of Economics, 2004)," Working Papers 1518, Tulane University, Department of Economics.
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    54. Maria Alice Moz-Christofoletti & Paula Carvalho Pereda & Wesley Campanharo, 2022. "Does Decentralized and Voluntary Commitment Reduce Deforestation? The Effects of Programa Municípios Verdes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 65-100, May.
    55. Lian Guo & W. D. Walls & Xiaoli Zheng, "undated". "Waste Import Bans and Environmental Quality: Evidence from China's Electronic Waste Disposal Towns," Working Papers 2021-02, Department of Economics, University of Calgary.
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    64. Joonkyu Choi & Veronika Penciakova & Felipe Saffie, 2021. "Political Connections, Allocation of Stimulus Spending, and the Jobs Multiplier," FRB Atlanta Working Paper 2021-13, Federal Reserve Bank of Atlanta.
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    69. Malo, Miguel A. & Cueto, Begona, 2013. "Temporary Contracts across Generations: Long-term effects of a labour market reform at the margin," MPRA Paper 44275, University Library of Munich, Germany.
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    886. Frederik Wild & David Stadelmann, 2024. "Heterogeneous Effects of Women's Schooling on Fertility, Literacy and Work: Evidence from Burundi's Free Primary Education Policy," Journal of African Economies, Centre for the Study of African Economies, vol. 33(1), pages 67-91.
    887. Jain, Chandan & Kashyap, Shagun & Lahoti, Rahul & Sahoo, Soham, 2022. "Do Educated Leaders Affect Economic Development? Evidence from India," IZA Discussion Papers 15278, Institute of Labor Economics (IZA).
    888. Ian D. Gow & David F. Larcker & Peter C. Reiss, 2016. "Causal Inference in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 477-523, May.
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    890. Park, Sungmin & Kim, Young-Han, 2023. "The impact of macroprudential policy on inequality and implications for inclusive financial stability," Journal of Banking & Finance, Elsevier, vol. 146(C).
    891. Shi, Ying, 2020. "Who benefits from selective education? Evidence from elite boarding school admissions," Economics of Education Review, Elsevier, vol. 74(C).
    892. Che, Yi & Lu, Yi & Pierce, Justin R. & Schott, Peter K. & Tao, Zhigang, 2022. "Did trade liberalization with China influence US elections?," Journal of International Economics, Elsevier, vol. 139(C).
    893. Granato, Silvia & Havari, Enkelejda & Mazzarella, Gianluca & Schnepf, Sylke V., 2021. "Study Abroad Programmes and Students' Academic Performance: Evidence from Erasmus Applications," IZA Discussion Papers 14651, Institute of Labor Economics (IZA).
    894. Henning Finseraas & Inés Hardoy & Pål Schøne, 2017. "School enrolment and mothers’ labor supply: evidence from a regression discontinuity approach," Review of Economics of the Household, Springer, vol. 15(2), pages 621-638, June.
    895. Elacqua, Gregory & Gómez, Leidy & Krussig, Thomas & Marotta, Luana & Méndez, Carolina & Neilson, Christopher, 2022. "The Potential of Smart Matching Platforms in Teacher Assignment: The Case of Ecuador," IDB Publications (Working Papers) 12483, Inter-American Development Bank.
    896. Marcello Sartarelli, 2011. "Do Performance Targets Affect Behaviour? Evidence from Discontinuities in Test Scores in England," DoQSS Working Papers 11-02, Quantitative Social Science - UCL Social Research Institute, University College London.
    897. Cappelletti, Giuseppe & Ponte Marques, Aurea & Salleo, Carmelo & Martín, Diego Vila, 2020. "How do banking groups react to macroprudential policies? Cross-border spillover effects of higher capital buffers on lending, risk-taking and internal markets," Working Paper Series 2497, European Central Bank.
    898. Aaron Sojourner & Jooyoung Yang, 2022. "Effects of Union Certification on Workplace-Safety Enforcement: Regression-Discontinuity Evidence," ILR Review, Cornell University, ILR School, vol. 75(2), pages 373-401, March.
    899. Dillender, Marcus, 2018. "What happens when the insurer can say no? Assessing prior authorization as a tool to prevent high-risk prescriptions and to lower costs," Journal of Public Economics, Elsevier, vol. 165(C), pages 170-200.
    900. Khanna, Gaurav, 2023. "Response to "Comment on Khanna (2023)"," I4R Discussion Paper Series 71, The Institute for Replication (I4R).
    901. Vikram Maheshri & Kenneth Whaley, 2024. "Boundaries Generate Discontinuities in the Urban Landscape," Working Papers 2024-04, University of South Florida, Department of Economics.
    902. Fabio Sánchez & Tatiana Velasco, 2014. "Do Loans for Higher Education Lead to Better Salaries? Evidence from a Regression Discontinuity Approach for Colombia," Documentos CEDE 12229, Universidad de los Andes, Facultad de Economía, CEDE.
    903. Daniel Burkhard, 2015. "Consumption smoothing at retirement: average and quantile treatment effects in the regression discontinuity design," Diskussionsschriften dp1512, Universitaet Bern, Departement Volkswirtschaft.
    904. Godefroy, Raphael & Lewis, Joshua, 2018. "Does male education affect fertility? Evidence from Mali," Economics Letters, Elsevier, vol. 172(C), pages 118-122.
    905. Umair Khalil & Mandar Oak & Sundar Ponnusamy, 2024. "The heterogeneous role of party affiliation in the runner‐up effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 952-959, August.
    906. Rok Spruk & Mitja Kovac, 2020. "Persistent Effects of Colonial Institutions on Long‐Run Development: Local Evidence from Regression Discontinuity Design in Argentina," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(4), pages 820-861, December.
    907. Dolton, Peter & Sandi, Matteo, 2017. "Returning to returns: revisiting the British education evidence," LSE Research Online Documents on Economics 85152, London School of Economics and Political Science, LSE Library.
    908. Tatiana Komarova & Denis Nekipelov, 2020. "Identification and Formal Privacy Guarantees," Papers 2006.14732, arXiv.org, revised May 2021.
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    910. Xu, Jian & Zheng, Jiaxing, 2022. "Mass media, air quality, and management turnover," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
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    912. Marta Curto-Grau (Universitat de Barcelona) & Albert Sole-Olle (Universitat de Barcelona) & Pilar Sorribas-Navarro(Universitat de Barcelona), 2012. "Partisan targeting of inter-governmental transfers & state interference in local elections: evidence from Spain," Working Papers in Economics 288, Universitat de Barcelona. Espai de Recerca en Economia.
    913. Freddy A. Pinzón-Puerto & Mauricio Villamizar-Villegas, 2023. "Do Actions Speak Louder than Words? A Foreign Exchange Intervention Analysis," Borradores de Economia 1223, Banco de la Republica de Colombia.
    914. Bruce, Donald J. & Carruthers, Celeste K., 2014. "Jackpot? The impact of lottery scholarships on enrollment in Tennessee," Journal of Urban Economics, Elsevier, vol. 81(C), pages 30-44.
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    916. Daniel Bradley & Incheol Kim & Xuan Tian, 2017. "Do Unions Affect Innovation?," Management Science, INFORMS, vol. 63(7), pages 2251-2271, July.
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    918. Kheiravar, Khaled H, 2019. "Economic and Econometric Analyses of the World Petroleum Industry, Energy Subsidies, and Air Pollution," Institute of Transportation Studies, Working Paper Series qt3gj151w9, Institute of Transportation Studies, UC Davis.
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    1. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    2. Marc Henry & Ismael Mourifie, 2011. "Euclidean Revealed Preferences: Testing the Spatial Voting Model," CIRJE F-Series CIRJE-F-822, CIRJE, Faculty of Economics, University of Tokyo.
    3. Bryan S. Graham & Fengshi Niu & James L. Powell, 2019. "Kernel Density Estimation for Undirected Dyadic Data," Papers 1907.13630, arXiv.org.
    4. Jeremy T. Fox & David H. Hsu & Chenyu Yang, 2012. "Unobserved Heterogeneity in Matching Games with an Application to Venture Capital," NBER Working Papers 18168, National Bureau of Economic Research, Inc.
    5. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    6. Tadao HOSHINO & Daichi SHIMAMOTO & Yasuyuki TODO, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    7. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    8. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    9. Jinkins, David Carson, 2014. "Conspicuous Consumption in the United States and China," IZA Discussion Papers 8323, Institute of Labor Economics (IZA).
    10. Dakshina Garfield De Silva & Marina Gertsberg & Georgia Kosmopoulou & Rachel Pownall, 2017. "Dealer Networks in the World of Art," Working Papers 198144199, Lancaster University Management School, Economics Department.
    11. Matthew O. Jackson, 2014. "Networks in the Understanding of Economic Behaviors," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 3-22, Fall.
    12. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.
    13. Leung, Michael P., 2015. "Two-step estimation of network-formation models with incomplete information," Journal of Econometrics, Elsevier, vol. 188(1), pages 182-195.
    14. Yoshiyuki ARATA & Philipp MUNDT, 2019. "Topology and Formation of Production Input Interlinkages: Evidence from Japanese microdata," Discussion papers 19027, Research Institute of Economy, Trade and Industry (RIETI).
    15. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    16. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    17. Marcus Berliant & Hiroki Watanabe, 2012. "A Scale-Free Transportation Network Explains the City-Size Distribution," ERSA conference papers ersa12p601, European Regional Science Association.
    18. Vincent Boucher, 2014. "Conformism and Self-Selection in Social Networks," Cahiers de recherche 1424, CIRPEE.
    19. Áureo de Paula & Seth Richards-Shubik & Elie Tamer, 2016. "Identifying preferences in networks with bounded degree," CeMMAP working papers CWP54/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    21. Nikhil Agarwal, 2014. "An Empirical Model of the Medical Match," NBER Working Papers 20767, National Bureau of Economic Research, Inc.
    22. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    23. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    24. Ben Golub & Yair Livne, 2010. "Strategic Random Networks," Working Papers 10-21, NET Institute.
    25. Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers CWP06/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Jonathan Eaton & David Jinkins & James Tybout & Daniel Yi Xu, 2022. "Two-sided Search in International Markets," Working Papers 22-02, Center for Economic Studies, U.S. Census Bureau.
    27. Zenou, Yves, 2012. "Networks in Economics," CEPR Discussion Papers 9021, C.E.P.R. Discussion Papers.
    28. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Yannis Ioannides, 2015. "Endogenous Social Networks and Inequality in an Intergenerational Setting," Discussion Papers Series, Department of Economics, Tufts University 0814, Department of Economics, Tufts University.
    30. Bryan S. Graham, 2016. "Homophily and Transitivity in Dynamic Network Formation," NBER Working Papers 22186, National Bureau of Economic Research, Inc.
    31. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    32. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    33. Gualdani, Cristina, 2021. "An econometric model of network formation with an application to board interlocks between firms," Journal of Econometrics, Elsevier, vol. 224(2), pages 345-370.
    34. Angelo Mele, 2010. "A Structural Model of Segregation in Social Networks," Working Papers 10-16, NET Institute.
    35. Annalisa Caloffi & Marco Mariani & Fabrizia Mealli, 2013. "What kinds of R&D consortia enhance SMEs productivity? Evidence from a small-business innovation policy," "Marco Fanno" Working Papers 0172, Dipartimento di Scienze Economiche "Marco Fanno".
    36. Vincent Boucher & Bernard Fortin, 2015. "Some Challenges in the Empirics of the Effects of Networks," Cahiers de recherche 1504, CIRPEE.
    37. Matthew O. Jackson & Brian Rogers & Yves Zenou, 2016. "The Economic Consequences of Social Network Structure," Monash Economics Working Papers 45-16, Monash University, Department of Economics.
    38. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    39. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers 43/15, Institute for Fiscal Studies.
    40. Harsh Gupta & Mason A. Porter, 2020. "Mixed Logit Models and Network Formation," Papers 2006.16516, arXiv.org, revised Aug 2022.
    41. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    42. Arun Advani & Bansi Malde, 2014. "Empirical methods for networks data: social effects, network formation and measurement error," IFS Working Papers W14/34, Institute for Fiscal Studies.
    43. Vincent Boucher, 2012. "Structural Homophily," Working Papers hal-00720825, HAL.
    44. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    45. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
    46. Todd Stinebrickner & Ralph Stinebrickner & Nirav Mehta & Timothy Conley, 2015. "How social interactions determine input choices and outcomes in equilibrium: Evidence from a model of study time and academic achievement," 2015 Meeting Papers 1175, Society for Economic Dynamics.
    47. Fan Zhou & Kunpeng Zhang & Bangying Wu & Yi Yang & Harry Jiannan Wang, 2021. "Unifying Online and Offline Preference for Social Link Prediction," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1400-1418, October.
    48. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.
    49. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Áureo de Paula & Seth Richards-Shubik & Elie Tamer, 2015. "Identification of preferences in network formation games," CeMMAP working papers CWP29/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Miyauchi, Yuhei, 2016. "Structural estimation of pairwise stable networks with nonnegative externality," Journal of Econometrics, Elsevier, vol. 195(2), pages 224-235.
    52. Sida Peng, 2019. "Heterogeneous Endogenous Effects in Networks," Papers 1908.00663, arXiv.org.
    53. Fershtman, Chaim & Persitz, Dotan, 2018. "Social Clubs and Social Networks," CEPR Discussion Papers 12874, C.E.P.R. Discussion Papers.
    54. Juan Nelson Mart'inez Dahbura & Shota Komatsu & Takanori Nishida & Angelo Mele, 2021. "A Structural Model of Business Card Exchange Networks," Papers 2105.12704, arXiv.org, revised Aug 2021.
    55. Eraslan, Hulya & Tang, Xun, 2017. "Identification and Estimation of Large Network Games with Private Link Information," Working Papers 17-002, Rice University, Department of Economics.
    56. Bryan S. Graham, 2016. "Homophily and transitivity in dynamic network formation," CeMMAP working papers 16/16, Institute for Fiscal Studies.
    57. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    58. Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2015. "Parametric and Semiparametric IV Estimation of Network Models with Selectivity," EIEF Working Papers Series 1509, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2015.
    59. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers CWP43/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    60. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    61. Hulya Eraslan & Xun Tang, 2018. "Identification and Estimation of Large Network Games with Private Link Information," Koç University-TUSIAD Economic Research Forum Working Papers 1809, Koc University-TUSIAD Economic Research Forum.
    62. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
    63. Michael P. Leung & Hyungsik Roger Moon, 2019. "Normal Approximation in Large Network Models," Papers 1904.11060, arXiv.org, revised Oct 2024.

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    1. Takaya Ozeki & Masahiko Ando & Makoto Yamaguchi & Takayuki Katsuno & Sawako Kato & Yoshinari Yasuda & Naotake Tsuboi & Shoichi Maruyama, 2018. "Treatment patterns and steroid dose for adult minimal change disease relapses: A retrospective cohort study," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-14, June.
    2. Hällsten, Martin, 2012. "Is it ever too late to study? The economic returns on late tertiary degrees in Sweden," Economics of Education Review, Elsevier, vol. 31(1), pages 179-194.
    3. Gonzalez, Felipe & Prem, Mounu & von Dessauer, Cristine, 2023. "Empowerment or Indoctrination? Women Centers Under Dictatorship," SocArXiv 64mf9, Center for Open Science.
    4. Guido Blasio & Samuele Poy, 2017. "THE IMPACT OF LOCAL WAGE REGULATION ON EMPLOYMENT: A BORDER ANALYSIS FROM ITALY IN THE 1950s," Journal of Regional Science, Wiley Blackwell, vol. 57(1), pages 48-74, January.
    5. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    6. Kono, Hisaki & Sawada, Yasuyuki & Shonchoy, Abu S., 2016. "DVD-based distance-learning program for university entrance exams -- RCT experiments in rural Bangladesh," IDE Discussion Papers 580, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    7. Koch, Nicolas & Basse Mama, Houdou, 2019. "Does the EU Emissions Trading System induce investment leakage? Evidence from German multinational firms," Energy Economics, Elsevier, vol. 81(C), pages 479-492.
    8. Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, Institute of Labor Economics (IZA).
    9. Marta Santamaría & Jaume Ventura & Uğur Yeşilbayraktar, 2020. "Borders within Europe," Economics Working Papers 1763, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2024.
    10. Mounu Prem & Juan F. Vargas & Olga Namen, 2023. "The Human Capital Peace Dividend," Journal of Human Resources, University of Wisconsin Press, vol. 58(3), pages 962-1002.
    11. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    12. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Schilling, Brian J. & Attavanich, Witsanu & Sullivan, Kevin P. & Marxen, Lucas J., 2014. "Measuring the effect of farmland preservation on farm profitability," MPRA Paper 100122, University Library of Munich, Germany, revised Jun 2014.
    14. Mary F. Evans, 2016. "The Clean Air Act Watch List: An Enforcement and Compliance Natural Experiment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 627-665.
    15. Yamauchi, Futoshi & Liu, Yanyan, 2012. "Impacts of an early stage education intervention on students'learning achievement : evidence from the Philippines," Policy Research Working Paper Series 6246, The World Bank.
    16. Klebson Humberto De Lucena Moura & Raul Da Mota Silveira Neto, 2016. "Does A Longer Commuting Time Increases The Probability Of Being Victim Of Urban Violence? The Evidence From Brazilian Metropolitan Regions," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 159, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    18. Aldunate, Felipe & González, Felipe & Prem, Mounu & Urzúa, Francisco, 2020. "Privatization and business groups: Evidence from the Chicago Boys in Chile," Explorations in Economic History, Elsevier, vol. 78(C).
    19. Lutz Bellmann & Marco Caliendo & Stefan Tübbicke, 2018. "The Post‐Reform Effectiveness of the New German Start‐Up Subsidy for the Unemployed," LABOUR, CEIS, vol. 32(3), pages 293-319, September.
    20. Hernández, Pedro Jesús, 2012. "Is there a Producer Quality Wage Premium similar to the Exporter Wage Premium," UMUFAE Economics Working Papers 28517, DIGITUM. Universidad de Murcia.
    21. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.
    22. Huttunen, Kristiina & Møen, Jarle & Salvanes, Kjell G., 2015. "Job Loss and Regional Mobility," Discussion Papers 2015/3, Norwegian School of Economics, Department of Business and Management Science.
    23. Wagener, Andreas & Zenker, Juliane, 2018. "Decoupled but not neutral: The effects of stochastic transfers on investment and incomes in rural Thailand," TVSEP Working Papers wp-008, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    24. Aldunate, Felipe & Gonzalez, Felipe & Prem, Mounu, 2021. "Make the Economy Scream? U.S. Banks and Foreign Firms During the Cold War," SocArXiv bhwk7, Center for Open Science.
    25. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    26. Robert Garlick, 2018. "Academic Peer Effects with Different Group Assignment Policies: Residential Tracking versus Random Assignment," American Economic Journal: Applied Economics, American Economic Association, vol. 10(3), pages 345-369, July.
    27. Imbens, Guido W., 2014. "Matching Methods in Practice: Three Examples," IZA Discussion Papers 8049, Institute of Labor Economics (IZA).
    28. Takahashi, Ryo, 2021. "How to stimulate environmentally friendly consumption: Evidence from a nationwide social experiment in Japan to promote eco-friendly coffee," Ecological Economics, Elsevier, vol. 186(C).
    29. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    30. Oleg Sidorkin & Martin Srholec, 2022. "Do Direct Subsidies Stimulate New R&D Outputs in Firms? Evidence from the Czech Republic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2203-2229, September.
    31. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
    32. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    33. Deininger, Klaus & Liu, Yanyan, 2013. "Welfare and poverty impacts of India’s national rural employment guarantee scheme: Evidence from Andhra Pradesh:," IFPRI discussion papers 1289, International Food Policy Research Institute (IFPRI).
    34. Adeola Oyenubi & Martin Wittenberg, 2021. "Does the choice of balance-measure matter under genetic matching?," Empirical Economics, Springer, vol. 61(1), pages 489-502, July.
    35. Caloffi, Annalisa & Freo, Marzia & Ghinoi, Stefano & Mariani, Marco & Rossi, Federica, 2022. "Assessing the effects of a deliberate policy mix: The case of technology and innovation advisory services and innovation vouchers," Research Policy, Elsevier, vol. 51(6).
    36. Prem, M & Guerra, M. E. & Rodríguez, P & Vargas, J. F., 2020. "The Peace Baby Boom: Evidence from Colombia’s peace agreement with the FARC," Documentos de Trabajo 18430, Universidad del Rosario.
    37. Chen, Ruoyu & Jiang, Hanchen & Quintero, Luis E., 2023. "Measuring the value of rent stabilization and understanding its implications for racial inequality: Evidence from New York City," Regional Science and Urban Economics, Elsevier, vol. 103(C).
    38. Raphael Lafrogne-Joussier & Julien Martin & Isabelle Mejean, 2023. "Supply Shocks in Supply Chains: Evidence from the Early Lockdown in China," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 170-215, March.
    39. Kang, Songman, 2017. "The consequences of sex offender residency restriction: Evidence from North Carolina," International Review of Law and Economics, Elsevier, vol. 49(C), pages 10-22.
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    998. Takis Venetoklis, 2021. "Exogenous shocks and citizens’ satisfaction with governmental policies: can empirical evidence from the 2008 financial crisis help us understand better the effects of the COVID-19 pandemic?," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 1973-2000, December.
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    1009. Ryo Takahashi, 2017. "Climate, Crime, And Suicide: Empirical Evidence From Japan," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 1-14, February.
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    1016. Arriagada, Rodrigo & Villaseñor, Adrián & Rubiano, Eliana & Cotacachi, David & Morrison, Judith, 2018. "Analysing the impacts of PES programmes beyond economic rationale: Perceptions of ecosystem services provision associated to the Mexican case," Ecosystem Services, Elsevier, vol. 29(PA), pages 116-127.
    1017. Carpinelli, Luisa & Crosignani, Matteo, 2021. "The design and transmission of central bank liquidity provisions," Journal of Financial Economics, Elsevier, vol. 141(1), pages 27-47.
    1018. Lihua Lei, 2024. "Causal Interpretation of Regressions With Ranks," Papers 2406.05548, arXiv.org.
    1019. Shanglei Chai & Ruixuan Sun & Ke Zhang & Yueting Ding & Wei Wei, 2022. "Is Emissions Trading Scheme (ETS) an Effective Market-Incentivized Environmental Regulation Policy? Evidence from China’s Eight ETS Pilots," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    1020. Benoit Dostie & Rajshri Jayaraman, 2013. "Do Higher Costs Spur Process Innovations and Managerial Incentives? Evidence from a Natural Experiment," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 529-550, September.
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    1026. Jaime Torres, Mónica Marcela & Carlsson, Fredrik, 2016. "Social Norms and Information Diffusion in Water-saving Programs: Evidence from a Randomized Field Experiment in Colombia," Working Papers in Economics 652, University of Gothenburg, Department of Economics.
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    1031. Joachim Merz, 2022. "Are Retirees More Satisfied? Anticipation and Adaptation Effects: A Causal Panel Analysis of German Statutory Insured and Civil Service Pensioners," SOEPpapers on Multidisciplinary Panel Data Research 1163, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    1033. Leandro Rocco & Breno Sampaio, 2016. "Are handheld cell phone and texting bans really effective in reducing fatalities?," Empirical Economics, Springer, vol. 51(2), pages 853-876, September.
    1034. Hussinger, Katrin & Issah, Abdul-Basit, 2019. "Firm acquisitions by family firms: A mixed gamble approach," ZEW Discussion Papers 19-044, ZEW - Leibniz Centre for European Economic Research.
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    1047. Anja Rösner & Justus Haucap & Ulrich Heimeshoff, 2020. "The Impact of Consumer Protection in the Digital Age: Evidence from the European Union," CESifo Working Paper Series 8081, CESifo.
    1048. Nauro Campos & Fabrizio Coricelli & Luigi Moretti, 2015. "Norwegian Rhapsody? The Political Economy Benefits of Regional Integration," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01267252, HAL.
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    1061. Mauricio Moura & Rodrigo Bueno, 2014. "The Effect of Land Title on Child Labor Supply: Empirical Evidence from Brazil," Research in Labor Economics, in: Factors Affecting Worker Well-being: The Impact of Change in the Labor Market, volume 40, pages 195-222, Emerald Group Publishing Limited.
    1062. Ferilli, Greta Benedetta & Palmieri, Egidio & Miani, Stefano & Stefanelli, Valeria, 2024. "The impact of FinTech innovation on digital financial literacy in Europe: Insights from the banking industry," Research in International Business and Finance, Elsevier, vol. 69(C).
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    1065. Niwen Zhou & Xu Guo & Lixing Zhu, 2022. "The role of propensity score structure in asymptotic efficiency of estimated conditional quantile treatment effect," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 718-743, June.
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    1081. Idrisov, Georgiy (Идрисов, Георгий) & Taganov, B.V. (Таганов, Б.), 2016. "Research of the Effect of Growth of Openness of the Russian Economy on Income Inequality in Russia [Исследование Влияния Роста Открытости Российской Экономики На Неравенство Доходов Населения В Рос," Working Papers 3136, Russian Presidential Academy of National Economy and Public Administration.
    1082. Tommaso Agasisti & Ekaterina Shibanova & Daria Platonova & Mikhail Lisyutkin, 2018. "The Russian Excellence Initiative For Higher Education: An Econometric Evaluation Of Short-Term Results," HSE Working papers WP BRP 201/EC/2018, National Research University Higher School of Economics.
    1083. Thönnes, Stefanie, 2015. "Do Deductibles reduce Moral Hazard in the German Statutory Health Insurance? - Empirical Evidence," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112912, Verein für Socialpolitik / German Economic Association.
    1084. Moczall, Andreas, 2013. "Subsidies for substitutes? : New evidence on deadweight loss and substitution effects of a wage subsidy for hard-to-place job-seekers," IAB-Discussion Paper 201305, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    1087. Hirotake ITO & Keiko KASAI & Makiko NAKAMURO, 2019. "Does Computer-aided Instruction Improve Children's Cognitive and Non-cognitive Skills?: Evidence from Cambodia," Discussion papers 19040, Research Institute of Economy, Trade and Industry (RIETI).
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    1089. Szczygielski, Krzysztof & Grabowski, Wojciech & Pamukcu, Mehmet Teoman & Tandogan, Vedat Sinan, 2017. "Does government support for private innovation matter? Firm-level evidence from two catching-up countries," Research Policy, Elsevier, vol. 46(1), pages 219-237.
    1090. Johanna Gather & Meike Wollni, 2022. "Setting the standard: Does Rainforest Alliance Certification increase environmental and socio‐economic outcomes for small‐scale coffee producers in Rwanda?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1807-1825, December.
    1091. Alexandra Peralta & Scott M. Swinton & Songqing Jin, 2018. "The Secret to Getting Ahead Is Getting Started: Early Impacts of a Rural Development Project," Sustainability, MDPI, vol. 10(8), pages 1-20, July.
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    1095. Chimeli, Ariaster & Soares, Rodrigo, 2011. "The Use of Violence in Illegal Markets: Evidence from Mahogany Trade in the Brazilian Amazon," TD NEREUS 15-2011, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    1096. Arkadipta Ghosh & Sean Orzol & Stacy Dale & Jessica Laird & Ning Fu & Pragya Singh & Min-Young Kim & Amanda Markovitz & Kaylyn Swankoski & Nancy Duda & Rachel Machta & Carol Urato & Mariel Finucane & , "undated". "Independent Evaluation of Comprehensive Primary Care Plus (CPC+) Second Annual Report: Appendices to the Supplemental Volume," Mathematica Policy Research Reports b1a34698da70445fb2d655f50, Mathematica Policy Research.
    1097. Becker, Chris & Ossandon Busch, Matias & Tonzer, Lena, 2020. "Macroprudential policy and intra-group dynamics: The effects of reserve requirements in Brazil," IWH Discussion Papers 21/2017, Halle Institute for Economic Research (IWH), revised 2020.
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    1099. Gasmi, Farid & Kouakou, Dorgyles & Noumba Um, Paul & Rojas Milla, Pedro, 2023. "An empirical analysis of the social contract in the MENA region and the role of digitalization in its transformation," TSE Working Papers 23-1423, Toulouse School of Economics (TSE).
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    1101. Simon Ress & Florian Spohr, 2022. "Was it worth it? The impact of the German minimum wage on union membership of employees," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 43(4), pages 1699-1723, November.
    1102. Marianna Battaglia & Nina Pallarés, 2020. "Family Planning and Child Health Care: Effect of the Peruvian Programa de Salud Reproductiva y Planificación Familiar, 1996–2000," Population and Development Review, The Population Council, Inc., vol. 46(1), pages 33-64, March.
    1103. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2012. "Private residential price indices in Singapore: A matching approach," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 485-494.
    1104. Riukula, Krista & Väänänen, Touko, 2024. "Estimating the Labour Market Impacts of Transport Projects in Finland," ETLA Working Papers 120, The Research Institute of the Finnish Economy.
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    1111. Wumeng He & Orapan Nabangchang & Krista Erdman & Alex C. A. Vanko & Prapti Poudel & Chandra Giri & Jeffrey R. Vincent, 2023. "Inferring Economic Impacts from a Program’s Physical Outcomes: An Application to Forest Protection in Thailand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(3), pages 845-876, March.
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    1169. Stefano Costalli & Luigi Moretti & Costantino Pischedda, 2017. "The economic costs of civil war," Journal of Peace Research, Peace Research Institute Oslo, vol. 54(1), pages 80-98, January.
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    1171. Liu, Mengqi & Villa, Kira M., 2020. "Solution or isolation: Is boarding school a good solution for left-behind children in rural China?," China Economic Review, Elsevier, vol. 61(C).
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    1173. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
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    1177. Gabriele Mari & Giorgio Cutuli, 2019. "Do Parental Leaves Make the Motherhood Wage Penalty Worse? Assessing Two Decades of German Reforms," SOEPpapers on Multidisciplinary Panel Data Research 1025, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    1179. Yuki Higuchi & Miyuki Sasaki & Makiko Nakamuro, 2020. "Impacts of an Information and Communication Technology-Assisted Program on Attitudes and English Communication Abilities: An Experiment in a Japanese High School," Asian Development Review, MIT Press, vol. 37(2), pages 100-133, September.
    1180. Burchardi, Konrad & Gulesci, Selim & Lerva, Benedetta & Sulaiman, Munshi, 2017. "Moral Hazard: Experimental Evidence from Tenancy Contracts," CEPR Discussion Papers 12232, C.E.P.R. Discussion Papers.
    1181. Michael J. Peel, 2018. "Addressing Unobserved Selection Bias in Accounting Studies: The Bias Minimization Method," European Accounting Review, Taylor & Francis Journals, vol. 27(1), pages 173-183, January.
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    1183. Jones, Kelly W. & Mayer, Alex & Von Thaden, Juan & Berry, Z. Carter & López-Ramírez, Sergio & Salcone, Jacob & Manson, Robert H. & Asbjornsen, Heidi, 2020. "Measuring the net benefits of payments for hydrological services programs in Mexico," Ecological Economics, Elsevier, vol. 175(C).
    1184. Burlando, Alfredo & Canidio, Andrea, 2017. "Does group inclusion hurt financial inclusion? Evidence from ultra-poor members of Ugandan savings groups," Journal of Development Economics, Elsevier, vol. 128(C), pages 24-48.
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    1278. Alfredo Cuecuecha Mendoza, 2024. "The effect of remittances on financial literacy in Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 19(1), pages 1-22, Enero - M.
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    1356. Schüwer, Ulrich & Lambert, Claudia & Noth, Felix, 2017. "How do banks react to catastrophic events? Evidence from Hurricane Katrina," SAFE Working Paper Series 94, Leibniz Institute for Financial Research SAFE, revised 2017.
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    1361. Paul, Annemarie, 2015. "After work shopping? Employment effects of a deregulation of shop opening hours in the German retail sector," European Economic Review, Elsevier, vol. 80(C), pages 329-353.
    1362. Villas-Boas, Sofia B & Dejanvry, Alain & Sadoulet, Elisabeth, 2010. "Short on Shots: Are Calls on Cooperative Restraint Effective in Managing a Flu Vaccines Shortage?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt09q664sc, Department of Agricultural & Resource Economics, UC Berkeley.
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    1365. Zhang, Qiyu & Ding, Rong & Chen, Ding & Zhang, Xiaoxiang, 2023. "The effects of mandatory ESG disclosure on price discovery efficiency around the world," International Review of Financial Analysis, Elsevier, vol. 89(C).
    1366. Kantelhardt, Jochen & Kirchweger, Stefan, 2015. "Matching Efficiency Results of Organic Farms," 2015 Conference, August 9-14, 2015, Milan, Italy 212024, International Association of Agricultural Economists.
    1367. Brandt, Loren & Siow, Aloysius & Vogel, Carl, 2009. "Large Demographic Shocks and Small Changes in the Marriage Market," IZA Discussion Papers 4243, Institute of Labor Economics (IZA).
    1368. Kraig Delana & Sarang Deo & Kamalini Ramdas & Ganesh-Babu B. Subburaman & Thulasiraj Ravilla, 2023. "Multichannel Delivery in Healthcare: The Impact of Telemedicine Centers in Southern India," Management Science, INFORMS, vol. 69(5), pages 2568-2586, May.
    1369. Noam Wasserman, 2017. "The throne vs. the kingdom: Founder control and value creation in startups," Strategic Management Journal, Wiley Blackwell, vol. 38(2), pages 255-277, February.
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    1372. Garcia-Appendini, Emilia & Gatti, Stefano & Nocera, Giacomo, 2023. "Does asset encumbrance affect bank risk? Evidence from covered bonds," Journal of Banking & Finance, Elsevier, vol. 146(C).
    1373. Ogutu, Sylvester Ochieng & Goedecke, Theda & Qaim, Matin, 2017. "Agricultural Commercialization and Nutrition in Smallholder Farm Households," GlobalFood Discussion Papers 257242, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    1374. Kuroda, Toshifumi & Baquero Forero, Maria del Pilar, 2017. "The effects of spectrum allocation mechanisms on market outcomes: Auctions vs beauty contests," Telecommunications Policy, Elsevier, vol. 41(5), pages 341-354.
    1375. Garbero, A. & Marion, P., 2018. "IFAD RESEARCH SERIES 28 - Understanding the dynamics of adoption decisions and their poverty impacts: the case of improved maize seeds in Uganda," IFAD Research Series 280077, International Fund for Agricultural Development (IFAD).
    1376. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    1377. Mano, Yukichi & 真野, 裕吉 & Suzuki, Aya & 鈴木, 綾, 2013. "Industrial Development through Takeovers and Exits: the Case of the Cut Flower Exporters in Ethiopia," Discussion Papers 2013-05, Graduate School of Economics, Hitotsubashi University.
    1378. Ferris, Stephen P. & Sainani, Sushil, 2021. "Do CFOs matter? Evidence from the M&A process," Journal of Corporate Finance, Elsevier, vol. 67(C).
    1379. Lukas Kauer, 2017. "Long‐term Effects of Managed Care," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1210-1223, October.
    1380. Hartarto, Romi Bhakti & LeMay-Boucher, Philippe, 2024. "Impacts of Conditionality on Consumption: Evidence from the Family Hope Program in Indonesia," Accountancy, Economics, and Finance Working Papers 2024-03, Heriot-Watt University, Department of Accountancy, Economics, and Finance.
    1381. Powell-Jackson, Timothy & Hanson, Kara, 2012. "Financial incentives for maternal health: Impact of a national programme in Nepal," Journal of Health Economics, Elsevier, vol. 31(1), pages 271-284.
    1382. Webb, Matthew D. & Warman, Casey & Sweetman, Arthur, 2016. "Targeting Tax Relief at Youth Employment," IZA Discussion Papers 10182, Institute of Labor Economics (IZA).
    1383. Brei, Michael & Gambacorta, Leonardo & Lucchetta, Marcella & Parigi, Bruno Maria, 2023. "How effective are bad bank resolutions? New evidence from Europe," Journal of Financial Stability, Elsevier, vol. 67(C).
    1384. Laure B. de Preux, 2011. "Anticipatory ex ante moral hazard and the effect of medicare on prevention," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1056-1072, September.
    1385. McGuinness, Seamus & O'Connell, Philip J. & Kelly, Elish & Walsh, John R., 2011. "Activation in Ireland: An Evaluation of the National Employment Action Plan," Research Series, Economic and Social Research Institute (ESRI), number RS20.
    1386. Jordi Jofre-Monseny (Universitat de Barcelona & Institut dEconomia de Barcelona (IEB)), 2013. "The effects of unemployment benefits on migration in lagging regions," Working Papers in Economics 292, Universitat de Barcelona. Espai de Recerca en Economia.
    1387. Agovino, M. & Casaccia, M. & Crociata, A. & Sacco, P.L., 2019. "European Regional Development Fund and pro-environmental behaviour. The case of Italian separate waste collection," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 36-50.
    1388. Anna Maria Koukal, 2017. "How Vatican II influenced female enfranchisement: A story of rapid cultural change," CREMA Working Paper Series 2017-07, Center for Research in Economics, Management and the Arts (CREMA).
    1389. Asep Suryahadi & Samuel Bazzi & Sudarno Sumarto, "undated". "Intinya Penentuan Waktu: Respons Belanja dan Suplai Kerja Rumah Tangga terhadap Bantuan Langsung Tunai," Working Papers 3610, Communications Section.
    1390. Alex Bryson & Michael White, 2019. "Migrants and Low-Paid Employment in British Workplaces," Work, Employment & Society, British Sociological Association, vol. 33(5), pages 759-776, October.
    1391. Datta, Sudip & Gruskin, Mark & Iskandar-Datta, Mai, 2024. "Auditor certification and long-run performance of IPO stocks," Journal of Financial Stability, Elsevier, vol. 70(C).
    1392. Chari, Anusha & Garcés, Felipe & Martínez, Juan Francisco & Valenzuela, Patricio, 2024. "Sovereign credit spreads, banking fragility, and global factors," Journal of Financial Stability, Elsevier, vol. 72(C).
    1393. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Tufa, Adane H & Abdoulaye, Tahirou & Mutenje, Munyaradzi & Setimela, Peter & Manyong, Victor, 2020. "Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    1394. Aistov, Andrey & Aleksandrova, Ekaterina, 2016. "Time-distributed difference-in-differences approach: The case of wage returns to training," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 5-28.
    1395. LOPES BENTO Cindy & CZARNITZKI Dirk, 2012. "Value for money? New microeconomic evidence on public R&D grants in Flanders," LISER Working Paper Series 2012-19, Luxembourg Institute of Socio-Economic Research (LISER).
    1396. Guarino, Cassandra M. & Reckase, Mark D. & Stacy, Brian & Wooldridge, Jeffrey M., 2014. "Evaluating Specification Tests in the Context of Value-Added Estimation," IZA Discussion Papers 7974, Institute of Labor Economics (IZA).
    1397. Rosamaría Dasso & Fernando Fernandez, 2015. "The effects of electrification on employment in rural Peru," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-16, December.
    1398. Douglas Kiarelly Godoy de Araujo, 2023. "gingado: a machine learning library focused on economics and finance," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
    1399. Hottenrott, Hanna & Lawson, Cornelia, 2017. "Fishing for complementarities: Research grants and research productivity," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 1-38.
    1400. Lechner, Michael, 2016. "Empirical Evidence on Educational Effects of Physical Activity: Four Examples," Economics Working Paper Series 1619, University of St. Gallen, School of Economics and Political Science.
    1401. Araujo P., Maria Daniela & Quis, Johanna Sophie, 2021. "Parents can tell! Evidence on classroom quality differences in German primary schools," BERG Working Paper Series 172, Bamberg University, Bamberg Economic Research Group.
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    1403. Lutz Bellmann & Mario Bossler & Hans-Dieter Gerner & Olaf Hübler, 2017. "Training and minimum wages: first evidence from the introduction of the minimum wage in Germany," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-22, December.
    1404. Chevillard, Guillaume & Mousquès, Julien & Lucas-Gabrielli, Véronique & Rican, Stéphane, 2019. "Has the diffusion of primary care teams in France improved attraction and retention of general practitioners in rural areas?," Health Policy, Elsevier, vol. 123(5), pages 508-515.
    1405. Benno Buehler & Gábor Koltay & Xavier Boutin & Massimo Motta, 2014. "Recent Developments at DG Competition: 2013–2014," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(4), pages 399-415, December.
    1406. Shukla, Pallavi & Arends-Kuenning, Mary P., 2017. "Impact of Access to Emergency Contraceptives on Risk Behavior: Evidence from a Policy Change in India," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258507, Agricultural and Applied Economics Association.
    1407. Kilimani, Nicholas & Buyinza, Faisal & Guloba, Madina, 2022. "Crop commercialization and nutrient intake among farming households in Uganda," Food Policy, Elsevier, vol. 113(C).
    1408. Lee, Jonathan & Nguyen, Duc Duy & Nguyen, Huyen, 2024. "Regulating zombie mortgages," IWH Discussion Papers 16/2024, Halle Institute for Economic Research (IWH).
    1409. Kresch, Evan Plous & Walker, Mark & Best, Michael Carlos & Gerard, François & Naritomi, Joana, 2023. "Sanitation and property tax compliance: Analyzing the social contract in Brazil," Journal of Development Economics, Elsevier, vol. 160(C).
    1410. Diana Lopez-Avila, 2016. "Child Discipline and Social Programs: Evidence from Colombia," Working Papers halshs-01305961, HAL.
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    1412. Roberto Gabriele & Enrico Tundis, 2015. "Contesto regionale, struttura economica e impatto delle politiche regionali: il caso degli alberghi in Trentino," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 37-59.
    1413. Stefanie Thönnes, 2019. "Ex-post moral hazard in the health insurance market: empirical evidence from German data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(9), pages 1317-1333, December.
    1414. Dettmann, Eva & Günther, Jutta, 2009. "Subsidized Vocational Training: Stepping Stone or Trap? An Evaluation Study for East Germany," IWH Discussion Papers 21/2009, Halle Institute for Economic Research (IWH).
    1415. Saeed Ghasseminejad & Mohammad R. Jahan-Parvar, 2020. "The Impact of Financial Sanctions: The Case of Iran 2011-2016," International Finance Discussion Papers 1281, Board of Governors of the Federal Reserve System (U.S.).
    1416. Pallab Ghosh & Kevin Grier & Jaeho Kim, 2021. "Heterogeneous endogeneity," Statistical Papers, Springer, vol. 62(2), pages 847-886, April.
    1417. Magnani, Elisabetta & Zhu, Rong, 2012. "Gender wage differentials among rural–urban migrants in China," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 779-793.
    1418. Lee, Jong-Seon & Park, Ji-Hoon & Bae, Zong-Tae, 2017. "The effects of licensing-in on innovative performance in different technological regimes," Research Policy, Elsevier, vol. 46(2), pages 485-496.
    1419. Kafle, Kashi & Winter-Nelson, Alex & Goldsmith, Peter, 2016. "Does 25 cents more per day make a difference? The impact of livestock transfer and development in rural Zambia," Food Policy, Elsevier, vol. 63(C), pages 62-72.
    1420. Zorlu, Aslan & Hartog, Joop, 2018. "The Impact of Language on Socioeconomic Integration of Immigrants," IZA Discussion Papers 11485, Institute of Labor Economics (IZA).
    1421. Simone Schüller, 2015. "The 9/11 conservative shift," FBK-IRVAPP Working Papers 2015-07, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
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    1423. Ehiakpor, Dennis S. & Danso-Abbeam, Gideon & Dagunga, Gilbert & Ayambila, Sylvester N., 2019. "Impact of Zai technology on farmers’ welfare: Evidence from northern Ghana," Technology in Society, Elsevier, vol. 59(C).
    1424. Marianna Endresz & Peter Harasztosi & Robert P. Lieli, 2015. "The Impact of the Magyar Nemzeti Bank's Funding for Growth Scheme on Firm Level Investment," MNB Working Papers 2015/2, Magyar Nemzeti Bank (Central Bank of Hungary).
    1425. Charoenwong, Ben & Kowaleski, Zachary T. & Kwan, Alan & Sutherland, Andrew G., 2024. "RegTech: Technology-driven compliance and its effects on profitability, operations, and market structure," Journal of Financial Economics, Elsevier, vol. 154(C).
    1426. Marianna Battaglia & Nina Pallarés, 2018. "Family Planning and Child Health Care: Evidence from a Permanent Aggressive Intervention," Working Papers. Serie AD 2018-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    1427. T. Randolph Beard & George S. Ford & Richard P. Saba & Richard A. Seals Jr., 2010. "Internet Use and Job Search," Auburn Economics Working Paper Series auwp2010-07, Department of Economics, Auburn University.
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    1429. D Elia, Vanesa, 2015. "Programas sociales en Argentina y bienestar: Impacto de la moratoria previsional y de la AUH [Social Programs in Argentina and Welfare: The impact of pension moratorium and the AUH]," MPRA Paper 63980, University Library of Munich, Germany.
    1430. Raaz Dwivedi & Yan Shuo Tan & Briton Park & Mian Wei & Kevin Horgan & David Madigan & Bin Yu, 2020. "Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies," International Statistical Review, International Statistical Institute, vol. 88(S1), pages 135-178, December.
    1431. Revilla, Elena & Rodriguez-Prado, Beatriz & Simón, Cristina, 2019. "The influence of organizational context on the managerial turnover–performance relationshi," MPRA Paper 123057, University Library of Munich, Germany, revised 16 Oct 2019.
    1432. Susanna Mancinelli & Rosa Bernardini Papalia & Silvia Bertarelli, 2015. "Complementarity among innovations for exporting in German manufacturing firms," Working Papers 2015044, University of Ferrara, Department of Economics.
    1433. Peter Howard-Jones & Jens Hölscher & Dragana Radicic, 2017. "Firm Productivity In The Western Balkans: The Impact Of European Union Membership And Access To Finance," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(215), pages 7-52, October –.
    1434. Takahashi, Ryo & Otsuka, Keijiro & Tilahun, Mesfin & Birhane, Emiru & Holden, Stein, 2024. "Beyond Ostrom: Randomized experiment of the impact of individualized tree rights on forest management in Ethiopia," World Development, Elsevier, vol. 178(C).
    1435. Kandpal, Eeshani & Baylis, Kathy & Arends-Kuenning, Mary P., 2012. "Empowering Women through Education and Influence: An Evaluation of the Indian Mahila Samakhya Program," IZA Discussion Papers 6347, Institute of Labor Economics (IZA).
    1436. Schwartz, Jacob & Song, Kyungchul, 2024. "The law of large numbers for large stable matchings," Journal of Econometrics, Elsevier, vol. 241(1).
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    1445. Siamak Javadi & Abdullah‐Al Masum & Mohsen Aram & Ramesh P. Rao, 2023. "Climate change and corporate cash holdings: Global evidence," Financial Management, Financial Management Association International, vol. 52(2), pages 253-295, June.
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    1449. Bergemann, Annette & Grönqvist, Erik & Gudbjörnsdottir, Soffia, 2011. "The effects of job displacement on the onset and progression of diabetes," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48695, Verein für Socialpolitik / German Economic Association.
    1450. Bernardo Lara & Alejandra Mizala & Andrea Repetto, 2009. "The Effectiveness of Private Voucher Education: Evidence from Structural School Switches," Documentos de Trabajo 263, Centro de Economía Aplicada, Universidad de Chile.
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    1455. Boris Kaiser, 2013. "Decomposing Differences in Arithmetic Means: A Doubly-Robust Estimation Approach," Diskussionsschriften dp1308, Universitaet Bern, Departement Volkswirtschaft.
    1456. Justice A. Tambo & Mathews Matimelo, 2022. "An act of defiance? Measuring farmer deviation from personalised extension recommendations in Zambia," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 396-413, June.
    1457. Corral, Leonardo & Henderson, Heath & Miranda, Juan José, 2016. "Evidence from a Natural Experiment on the Development Impact of Windfall Gains: The Camisea Fund in Peru," IDB Publications (Working Papers) 7520, Inter-American Development Bank.
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    1460. Accetturo, Antonio & Barboni, Giorgia & Cascarano, Michele & Garcia-Appendini, Emilia & Tomasi, Marco, 2022. "Credit supply and green Investments," CAGE Online Working Paper Series 615, Competitive Advantage in the Global Economy (CAGE).
    1461. Olukorede Abiona & Joseph B. Ajefu, 2023. "The impact of timing of in utero drought shocks on birth outcomes in rural households: evidence from Sierra Leone," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1333-1362, July.
    1462. Vladimír Baláž & Eduard Nežinský & Tomáš Jeck & Richard Filčák, 2020. "Energy and Emission Efficiency of the Slovak Regions," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    1463. Bilgic, Abdulbaki & Yen, Steven T., 2013. "Household food demand in Turkey: A two-step demand system approach," Food Policy, Elsevier, vol. 43(C), pages 267-277.
    1464. Chiputwa, Brian & Blundo-Canto, Genowefa & Steward, Peter & Andrieu, Nadine & Ndiaye, Ousmane, 2022. "Co-production, uptake of weather and climate services, and welfare impacts on farmers in Senegal: A panel data approach," Agricultural Systems, Elsevier, vol. 195(C).
    1465. Brown, J. David & Earle, John S., 2015. "Finance and Growth at the Firm Level: Evidence from SBA Loans," IZA Discussion Papers 9267, Institute of Labor Economics (IZA).
    1466. Jung, Suhyun & Polasky, Stephen, 2018. "Partnerships to prevent deforestation in the Amazon," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 498-516.
    1467. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    1468. Sonia Bhalotra & Martin Karlsson & Therese Nilsson, 2014. "Life Expectancy and Mother-Baby Interventions," CINCH Working Paper Series 1404, Universitaet Duisburg-Essen, Competent in Competition and Health.
    1469. Pender, John & Reeder, Richard, 2011. "Impacts of Regional Approaches to Rural Development: Initial Evidence on the Delta Regional Authority," Economic Research Report 262240, United States Department of Agriculture, Economic Research Service.
    1470. Anita Ratcliffe & Karl Taylor, 2013. "Who Cares about Stock Market Booms and Busts? Evidence from Data on Mental Wellbeing," Working Papers 2012021, The University of Sheffield, Department of Economics.
    1471. Cinzia Di Novi & Massimiliano Piacenza & Silvana Robone & Gilberto Turati, 2019. "Does fiscal decentralization affect regional disparities in health? Quasi-experimental evidence from Italy," DISCE - Working Papers del Dipartimento di Economia e Finanza def083, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    1472. Anthony Cawley & Kevin Heanue & Rachel Hilliard & Cathal O’Donoghue & Maura Sheehan, 2023. "How Knowledge Transfer Impact Happens at the Farm Level: Insights from Advisers and Farmers in the Irish Agricultural Sector," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    1473. Strumpf, Erin & Ammi, Mehdi & Diop, Mamadou & Fiset-Laniel, Julie & Tousignant, Pierre, 2017. "The impact of team-based primary care on health care services utilization and costs: Quebec’s family medicine groups," Journal of Health Economics, Elsevier, vol. 55(C), pages 76-94.
    1474. Gábor Békés & Péter Harasztosi, 2010. "Agglomeration Premium and Trading Activity of Firms," CeFiG Working Papers 11, Center for Firms in the Global Economy, revised 28 Jan 2010.
    1475. Molestina Vivar, Luis, 2025. "Mitigating fragility in open-ended investment funds: the role of redemption restrictions," ESRB Working Paper Series 150, European Systemic Risk Board.
    1476. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    1477. Baccini, Leonardo & Sudulich, Maria Laura & Wall, Matthew, 2016. "Internet effects in times of political crisis: online newsgathering and attitudes towards the European Union," LSE Research Online Documents on Economics 62302, London School of Economics and Political Science, LSE Library.
    1478. Heller-Sahlgren, Gabriel, 2017. "Retirement blues," Journal of Health Economics, Elsevier, vol. 54(C), pages 66-78.
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    1480. Julie Gilles de la Londe & Anissa Afrite & Julien Mousquès, 2023. "How does the quality of care for type 2 diabetic patients benefit from GPs-nurses’ teamwork? A staggered difference-in-differences design based on a French pilot program," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 433-466, September.
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    2097. Rusike, J. & Mahungu, N.M. & Lukombo, S.S. & Kendenga, T. & Bidiaka, S.M. & Alene, A. & Lema, A. & Manyong, V.M., 2014. "Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo," Food Policy, Elsevier, vol. 46(C), pages 193-204.
    2098. Harry Pickard, 2019. "A mailshot in the dark? The impact of the UK government's lea fet on the 2016 EU referendum," Working Papers 2019004, The University of Sheffield, Department of Economics.
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    2153. Garcia-López, Miquel-Àngel & Solé-Ollé, Albert & Viladecans-Marsal, Elisabet, 2015. "Does zoning follow highways?," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 148-155.
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    2156. Engzell, Per & Frey, Arun & Verhagen, Mark D., 2020. "Learning Loss Due to School Closures During the COVID-19 Pandemic," SocArXiv ve4z7_v1, Center for Open Science.
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    2159. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
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    2161. Jiang, Fuxiu & Cai, Xinni & Nofsinger, John R. & Zheng, Xiaojia, 2020. "Can reputation concern restrain bad news hoarding in family firms?," Journal of Banking & Finance, Elsevier, vol. 114(C).
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    2163. Margaux Lapierre & Alexandre Sauquet & Julie Subervie, 2019. "Improving Farm Environmental Performance through Technical Assistance: Empirical Evidence on Pesticide Use," Working Papers 2019.19, FAERE - French Association of Environmental and Resource Economists.
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  57. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2009. "Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis," NBER Working Papers 14860, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    2. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
    3. Achyuta Adhvaryu & Vittorio Bassi & Anant Nyshadham & Jorge A. Tamayo, 2020. "No Line Left Behind: Assortative Matching Inside the Firm," NBER Working Papers 27006, National Bureau of Economic Research, Inc.
    4. Oosterbeek, H. & Ewijk, R. van, 2010. "Gender peer effects in university: Evidence from a randomized experiment," Working Papers 35, Top Institute for Evidence Based Education Research.
    5. Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025. "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers 05/25, Institute for Fiscal Studies.
    6. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Bandyopadhyay, Siddhartha & Cabrales, Antonio, 2020. "Pricing group membership," MPRA Paper 102255, University Library of Munich, Germany.
    8. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    9. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    10. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    11. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    12. Magdalena Bennett & Peter Bergman, 2021. "Better Together? Social Networks in Truancy and the Targeting of Treatment," Journal of Labor Economics, University of Chicago Press, vol. 39(1), pages 1-36.
    13. Antonio Ciccone & Walter Garcia-Fontes, 2014. "Gender peer effects in school, a birth cohort approach," Economics Working Papers 1424, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Tarun Jain & Nishtha Langer, 2019. "Does Whom You Know Matter? Unraveling The Influence Of Peers' Network Attributes On Academic Performance," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 141-161, January.
    15. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    17. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    18. Fairlie, Robert W. & Hoffmann, Florian & Oreopoulos, Philip, 2011. "A Community College Instructor like Me: Race and Ethnicity Interactions in the Classroom," CLSSRN working papers clsrn_admin-2011-27, Vancouver School of Economics, revised 27 Oct 2011.
    19. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.
    21. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    22. Yokoo, Hide-Fumi & Harada, Tetsuya, 2023. "What makes green persuasion effective? Evidence from a community-financed sanitation program in Indonesia," Resource and Energy Economics, Elsevier, vol. 73(C).
    23. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    24. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
    25. Zhong, Xiaohan & Zhu, Lin, 2021. "The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions," Journal of Econometrics, Elsevier, vol. 224(2), pages 271-285.
    26. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2011. "From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects," NBER Working Papers 16865, National Bureau of Economic Research, Inc.
    27. Taehoon Kim & Jacob Schwartz & Kyungchul Song & Yoon-Jae Whang, 2019. "Monte Carlo Inference on Two-Sided Matching Models," Econometrics, MDPI, vol. 7(1), pages 1-15, March.
    28. Frölich, Markus & Michaelowa, Katharina, 2011. "Peer effects and textbooks in African primary education," Labour Economics, Elsevier, vol. 18(4), pages 474-486, August.

  58. Abadie, Alberto & Imbens, Guido W., 2009. "A Martingale Representation for Matching Estimators," IZA Discussion Papers 4073, Institute of Labor Economics (IZA).

    Cited by:

    1. Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
    2. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    3. Liu, Angela Xia & Xie, Ying & Zhang, Jurui, 2019. "It's Not Just What You Say, But How You Say It: The Effect of Language Style Matching on Perceived Quality of Consumer Reviews," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 70-86.
    4. Melvin Stephens & Takashi Unayama, 2019. "Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 468-475, July.
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    4. Lixin Cai & Guyonne Kalb & Yi-Ping Tseng & Ha Vu, 2008. "The Effect of Financial Incentives on Labour Supply: Evidence for Lone Parents from Microsimulation and Quasi-Experimental Evaluation," Fiscal Studies, Institute for Fiscal Studies, vol. 29(2), pages 285-325, June.
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    10. Arata, Linda & Sckokai, P., 2013. "Impact of Agri-environmental Schemes on Farm Performances in five EU Member States," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149771, Italian Association of Agricultural and Applied Economics (AIEAA).
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    1. John Cai & Weinan Wang, 2022. "A Systematic Paradigm for Detecting, Surfacing, and Characterizing Heterogeneous Treatment Effects (HTE)," Papers 2211.01547, arXiv.org.
    2. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
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    4. Alejandro Sanchez-Becerra, 2023. "Robust inference for the treatment effect variance in experiments using machine learning," Papers 2306.03363, arXiv.org.
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    7. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
    8. Luo Wei & Wu Wenbo & Zhu Yeying, 2019. "Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction," Journal of Causal Inference, De Gruyter, vol. 7(1), pages 1-14, March.
    9. Wei Huang & Oliver Linton & Zheng Zhang, 2022. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1817-1830, October.
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    14. Bedoya, Guadalupe & Bittarello, Luca & Davis, Jonathan & Mittag, Nikolas, 2018. "Distributional Impact Analysis: Toolkit and Illustrations of Impacts beyond the Average Treatment Effect," IZA Discussion Papers 11863, Institute of Labor Economics (IZA).
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    20. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
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    25. Galvão, Ana Beatriz & Mitchell, James, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," CEPR Discussion Papers 16417, C.E.P.R. Discussion Papers.
    26. Sokbae (Simon) Lee & Yoon-Jae Whang, 2009. "Nonparametric tests of conditional treatment effects," CeMMAP working papers CWP36/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2021. "A Nonparametric Test for Testing Heterogeneity in Conditional Quantile Treatment Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202117, University of Kansas, Department of Economics, revised Aug 2021.
    28. Nathan Kallus, 2022. "Treatment Effect Risk: Bounds and Inference," Papers 2201.05893, arXiv.org, revised Jul 2022.
    29. Steinkraus, Arne, 2018. "Rethinking Policy Evaluation – Do Simple Neural Nets Bear Comparison with Synthetic Control Method?," EconStor Preprints 177390, ZBW - Leibniz Information Centre for Economics.
    30. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.
    31. Philip M. Gleason & Alexandra M. Resch & Jillian A. Berk, "undated". "Replicating Experimental Impact Estimates Using a Regression Discontinuity Approach," Mathematica Policy Research Reports c7ecf8b35c8d402491d09b2d0, Mathematica Policy Research.
    32. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2019. "From Local to Global: External Validity in a Fertility Natural Experiment," Papers 1906.08096, arXiv.org.
    33. Andrea Mercatanti & Fan Li, 2017. "Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 759-776, August.
    34. Nathan Kallus & Miruna Oprescu, 2022. "Robust and Agnostic Learning of Conditional Distributional Treatment Effects," Papers 2205.11486, arXiv.org, revised Feb 2023.
    35. Yuanyuan Shen & Tianxi Cai, 2016. "Identifying predictive markers for personalized treatment selection," Biometrics, The International Biometric Society, vol. 72(4), pages 1017-1025, December.
    36. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    37. Brigham R. Frandsen & Lars J. Lefgren, 2021. "Partial identification of the distribution of treatment effects with an application to the Knowledge is Power Program (KIPP)," Quantitative Economics, Econometric Society, vol. 12(1), pages 143-171, January.
    38. Susan Athey & Guido Imbens, 2015. "Recursive Partitioning for Heterogeneous Causal Effects," Papers 1504.01132, arXiv.org, revised Dec 2015.
    39. Augsburg, Britta & Bancalari, Antonella & Durrani, Zara & Vaidyanathan, Madhav & White, Zach, 2022. "When nature calls back: Sustaining behavioral change in rural Pakistan," Journal of Development Economics, Elsevier, vol. 158(C).
    40. Ferraro, Paul J. & Miranda, Juan José, 2013. "Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment," Resource and Energy Economics, Elsevier, vol. 35(3), pages 356-379.
    41. Naureen Fatema & Shahriar Kibriya, 2018. "Givers of great dinners know few enemies: The impact of household food sufficiency and food sharing on low intensity interhousehold and community conflict in Eastern Democratic Republic of Congo," HiCN Working Papers 267, Households in Conflict Network.
    42. Seán M. Muller, 2021. "Evidence for a YETI? A Cautionary Tale from South Africa's Youth Employment Tax Incentive," Development and Change, International Institute of Social Studies, vol. 52(6), pages 1301-1342, November.
    43. Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2018. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," MPRA Paper 89532, University Library of Munich, Germany.
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    1. Bracco, Emanuele & Porcelli, Francesco & Redoano, Michela, 2019. "Political competition, tax salience and accountability. Theory and evidence from Italy," European Journal of Political Economy, Elsevier, vol. 58(C), pages 138-163.
    2. Bartalotti, Otávio, 2018. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," ISU General Staff Papers 201802010800001586, Iowa State University, Department of Economics.
    3. Yogesh Uppal, 2010. "Estimating Incumbency Effects In U.S. State Legislatures: A Quasi‐Experimental Study," Economics and Politics, Wiley Blackwell, vol. 22(2), pages 180-199, July.
    4. Nishijima, Marislei & Ellis, Randall P. & Cati, Regina C., 2022. "Primary healthcare effects of a well-designed anti-corruption program," World Development Perspectives, Elsevier, vol. 25(C).
    5. Hymel, Kent, 2014. "Do parking fees affect retail sales? Evidence from Starbucks," Economics of Transportation, Elsevier, vol. 3(3), pages 221-233.
    6. Andrew Kerner & Morten Jerven & Alison Beatty, 2017. "Does it pay to be poor? Testing for systematically underreported GNI estimates," The Review of International Organizations, Springer, vol. 12(1), pages 1-38, March.
    7. Meng, Xin & Yu, Yanni, 2023. "Does the Russia-Ukraine conflict affect gasoline prices?," Energy Economics, Elsevier, vol. 128(C).
    8. Freier, Ronny & Odendahl, Christian, 2015. "Do parties matter? Estimating the effect of political power in multi-party systems," European Economic Review, Elsevier, vol. 80(C), pages 310-328.
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    1. Fedesarrollo, 2018. "Evaluación de los impactos causados en las regiones productoras de hidrocarburos y minerales con el actual Sistema General de Regalías," Informes de Investigación 17258, Fedesarrollo.
    2. Sajid Anwar & Sizhong Sun, 2015. "Unionisation and Firm Performance in China’s Manufacturing Industries," Journal of Labor Research, Springer, vol. 36(1), pages 78-102, March.
    3. Massimiliano Ferraresi & Gianluca Gucciardi & Leonzio Rizzo, 2017. "Does purchase centralization reduce public expenditure? Evidence from the Italian healthcare system," Working papers 66, Società Italiana di Economia Pubblica.
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    5. Pingping Wang & Wendong Zhang & Minghao Li & Yijun Han, 2019. "Does Fertilizer Education Program Increase the Technical Efficiency of Chemical Fertilizer Use? Evidence from Wheat Production in China," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    6. Rapoport, Benoît & Thibout, Claire, 2018. "Why do boys and girls make different educational choices? The influence of expected earnings and test scores," Economics of Education Review, Elsevier, vol. 62(C), pages 205-229.
    7. Fedesarrollo, 2018. "Evaluación de los impactos causados en las regiones productoras de hidrocarburos y minerales con el actual Sistema General de Regalías," Informes de Investigación 17194, Fedesarrollo.

  64. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Technical Working Papers 0337, National Bureau of Economic Research, Inc.

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    1049. Pamela Cardozo & Fredy Gamboa & David Perez-Reyna & Mauricio Villamizar-Villegas, 2016. "Banking Limits on Foreign Holdings: Disentangling the Portfolio Balance Channel," Borradores de Economia 934, Banco de la Republica de Colombia.
    1050. Dang, Thang, 2017. "The Multiple Effects of Child Health Insurance in Vietnam," MPRA Paper 78614, University Library of Munich, Germany.
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    1059. Bernard, René, 2017. "Political fragmentation and fiscal policy: Evidence from German municipalities," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 17-03, University of Cologne, FiFo Institute for Public Economics.
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    1063. Ciro Avitabiley & Matteo Bobba and Marco Pariguanax, 2017. "High School Track Choice and Liquidity Constraints: Evidence from Urban Mexico," Working Paper 0195be34-77f6-4879-a68d-e, Agence française de développement.
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    1066. Javier Castaño & Maria Blanco & Pilar Martinez, 2019. "Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
    1067. Lara E., Bernardo & Toro M., Sergio, 2019. "Tactical distribution in local funding: The value of an aligned mayor," European Journal of Political Economy, Elsevier, vol. 56(C), pages 74-89.
    1068. Jamie Sharpe, 2020. "A Pathway To Homeownership? Evidence From The Immigration Reform And Control Act Of 1986," Contemporary Economic Policy, Western Economic Association International, vol. 38(3), pages 435-447, July.
    1069. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuity," LSE Research Online Documents on Economics 45246, London School of Economics and Political Science, LSE Library.
    1070. Hemelt, Steven W., 2011. "Performance effects of failure to make Adequate Yearly Progress (AYP): Evidence from a regression discontinuity framework," Economics of Education Review, Elsevier, vol. 30(4), pages 702-723, August.
    1071. SeungHoon Han & Hosung Sohn, 2023. "The short-term effects of fixed copayment policy on elderly health spending and service utilization: evidence from South Korea’s age-based policy using exact date of birth," International Journal of Health Economics and Management, Springer, vol. 23(2), pages 255-279, June.
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    1073. Aaron A. Elrod & Serkan Karadas & Katherine C. Theyson, 2019. "The effect of gubernatorial political parties on monitoring and enforcement of federal environmental regulation: evidence from the Clean Water Act," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 171-202, April.
    1074. Nadine Levratto & Aurelien Quignon, 2021. "Innovation Performance and the Signal Effect: Evidence from a European Program," Working Papers halshs-03466903, HAL.
    1075. Jacob Bor & Shahira Ahmed & Matthew P Fox & Sydney Rosen & Gesine Meyer-Rath & Ingrid T Katz & Frank Tanser & Deenan Pillay & Till Bärnighausen, 2017. "Effect of eliminating CD4-count thresholds on HIV treatment initiation in South Africa: An empirical modeling study," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-16, June.
    1076. Sridhar Narayanan & Kirthi Kalyanam, 2015. "Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach," Marketing Science, INFORMS, vol. 34(3), pages 388-407, May.
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    1078. Yu-Chin Hsu & Chung-Ming Kuan & Giorgio Teng-Yu Lo, 2017. "Quantile Treatment Effects in Regression Discontinuity Designs with Covariates," IEAS Working Paper : academic research 17-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    1079. Gago Andrés & Carozzi Felipe & Bermejo Vicente J. & Abad Jose M., 2023. "Government Turnover and External Financial Assistance," Asociación Argentina de Economía Política: Working Papers 4655, Asociación Argentina de Economía Política.
    1080. Gadenne, Lucie, 2016. "Tax Me, But Spend Wisely? Sources of Public Finance and Government Accountability," CAGE Online Working Paper Series 289, Competitive Advantage in the Global Economy (CAGE).
    1081. Pietro Bonaldi & Mauricio Villamizar-Villegas, 2018. "An Auction-Based Test of Private Information in an Interdealer FX Market," Working papers 1, Red Investigadores de Economía.
    1082. Brollo, Fernanda & Troiano, Ugo, 2013. "What Happens When a Woman Wins an Election? Evidence from Close Races in Brazil," CAGE Online Working Paper Series 161, Competitive Advantage in the Global Economy (CAGE).
    1083. Xiandeng Jiang, 2018. "Relative Performance Prizes and Dynamic Incentives in Best-of-N Contests," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(3), pages 563-590, November.
    1084. Zhang, Chuanchuan, 2012. "结婚年龄与婚姻的稳定性：来自断点回归的证据 [Age at marriage and marital stability: evidence from a regression discontinuity design]," MPRA Paper 38809, University Library of Munich, Germany.
    1085. Moussa, Wael & Salti, Nisreen & Irani, Alexandra & Mokdad, Rima Al & Jamaluddine, Zeina & Chaaban, Jad & Ghattas, Hala, 2022. "The impact of cash transfers on Syrian refugee children in Lebanon," World Development, Elsevier, vol. 150(C).
    1086. Eggers, Andy & Hainmueller, Jens, 2008. "MPs for Sale? Estimating Returns to Office in Post-War British Politics," MPRA Paper 7892, University Library of Munich, Germany.
    1087. Min, Byung-Seong, 2013. "Evaluation of board reforms: An examination of the appointment of outside directors," Journal of the Japanese and International Economies, Elsevier, vol. 29(C), pages 21-43.
    1088. Eric J. Brunner & Shaun Dougherty & Stephen L. Ross, 2019. "The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System," Working papers 2019-13, University of Connecticut, Department of Economics.
    1089. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    1090. Joseph Palazzo & Roland Geyer & Sangwon Suh, 2020. "A review of methods for characterizing the environmental consequences of actions in life cycle assessment," Journal of Industrial Ecology, Yale University, vol. 24(4), pages 815-829, August.
    1091. Yixin Zhao & Qingqing Zong, 2022. "Understanding the inventor team size: A view from “The Rice Theory”," International Studies of Economics, John Wiley & Sons, vol. 17(2), pages 156-182, July.
    1092. Laura Huang & Cristina B Gibson & Bradley L Kirkman & Debra L Shapiro, 2017. "When is traditionalism an asset and when is it a liability for team innovation? A two-study empirical examination," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(6), pages 693-715, August.
    1093. Nielsen, Nick Fabrin, 2019. "Sick of retirement?," Journal of Health Economics, Elsevier, vol. 65(C), pages 133-152.
    1094. Tanya Y. Tian & Brayden G King & Edward B. Smith, 2023. "Effect of organizational status on employment‐related corporate social responsibility: Evidence from a regression discontinuity approach," Strategic Management Journal, Wiley Blackwell, vol. 44(12), pages 2833-2857, December.
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    1097. Georgios Voucharas & Dimitrios Xefteris, 2018. "Women's Political Power and Environmental Outcomes," University of Cyprus Working Papers in Economics 07-2018, University of Cyprus Department of Economics.
    1098. Dhillon, Amrita & Krishnan, Pramila & Patnam, Manasa & Perroni, Carlo, 2020. "Secession with Natural Resources," The Warwick Economics Research Paper Series (TWERPS) 1240, University of Warwick, Department of Economics.
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    1101. Alon, Sigal & Malamud, Ofer, 2014. "The impact of Israel's class-based affirmative action policy on admission and academic outcomes," Economics of Education Review, Elsevier, vol. 40(C), pages 123-139.
    1102. Murathi Kiratu, Nixon, 2014. "An Assessment of the Impact of Kilimo Plus Subsidy Program on Smallholder Farmers' Food Security and Income in Nakuru North District, Kenya," Research Theses 243470, Collaborative Masters Program in Agricultural and Applied Economics.
    1103. Laurent Gobillon & Benjamin Vignolles, 2014. "Évaluation de l'effet d'une politique spatialisée d'accès au logement : la loi Solidarité et Renouvellement Urbain (SRU)," PSE Working Papers halshs-01013384, HAL.
    1104. Mika Haapanen & Jaakko Pehkonen & Ville Seppälä, 2023. "Couples' joint retirement by household type: Evidence from Finland," LABOUR, CEIS, vol. 37(3), pages 409-436, September.
    1105. Henri Bussink & Bas ter Weel, 2022. "Costs and benefits of an Individual Learning Account (ILA): A simulation analysis for the Netherlands," Tinbergen Institute Discussion Papers 22-077/V, Tinbergen Institute.
    1106. Hongsheng Fang & Yunqing Su & Weijun Lu, 2022. "Tax incentive and firm investment: Evidence from the Income Tax Revenue Sharing Reform in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4849-4884, December.
    1107. Zambiasi, Diego, 2022. "Drugs on the Web, Crime in the Streets. The Impact of Shutdowns of Dark Net Marketplaces on Street Crime," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 274-306.
    1108. Xu, Ke-Li & Phillips, Peter C. B., 2011. "Tilted Nonparametric Estimation of Volatility Functions With Empirical Applications," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 518-528.
    1109. He, Xiaoping, 2019. "China's electrification and rural labor: Analysis with fuzzy regression discontinuity," Energy Economics, Elsevier, vol. 81(C), pages 650-660.
    1110. Cappelletti, Giuseppe & Ponte Marques, Aurea & Varraso, Paolo, 2024. "Impact of higher capital buffers on banks’ lending and risk-taking in the short- and medium-term: Evidence from the euro area experiments," Journal of Financial Stability, Elsevier, vol. 72(C).
    1111. Zhong, Hai, 2014. "The effect of sibling size on children's health: a regression discontinuity design approach based on China's one-child policy," China Economic Review, Elsevier, vol. 31(C), pages 156-165.
    1112. Jørgen Bølstad & James P. Cross, 2016. "Not all Treaties are Created Equal: The Effects of Treaty Changes on Legislative Efficiency in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 54(4), pages 793-808, July.
    1113. Dolores De La Mata, 2012. "The Effect Of Medicaid Eligibility On Coverage, Utilization, And Children'S Health," Health Economics, John Wiley & Sons, Ltd., vol. 21(9), pages 1061-1079, September.
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    1115. Chu, Yongqiang, 2018. "Banking deregulation and credit supply: Distinguishing the balance sheet and the competition channels," Journal of Financial Intermediation, Elsevier, vol. 35(PA), pages 102-119.
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    1117. Cortes, Felipe, 2021. "Firm opacity and the opportunity cost of cash," Journal of Corporate Finance, Elsevier, vol. 68(C).
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    1121. Kassouf, Ana Lucia & de Oliveira, Pedro Rodrigues, 2012. "Impact evaluation of the brazilian non-contibutory pension program Beneficio de Prestaçao Continuada (BPC) on family welfare," PEP Working Papers 164405, Partnership for Economic Policy (PEP).
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    1128. Sieger, Philip, 2012. "Incumbency Effects in Germany: Federal and Mayoral Elections," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62084, Verein für Socialpolitik / German Economic Association.
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    1154. Hanson, Andrew & Rohlin, Shawn, 2017. "Do Spatially Targeted Redevelopment Incentives Work? The Answer Depends on How You Ask the Question," Working Papers 06910, George Mason University, Mercatus Center.
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    1156. Sim, Jaeung & Park, Jea Gon & Cho, Daegon & Smith, Michael D. & Jung, Jaemin, 2022. "Bestseller lists and product discovery in the subscription-based market: Evidence from music streaming," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 550-567.
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    1424. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
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    1426. Eriksen, Michael D., 2017. "Difficult Development Areas and the supply of subsidized housing," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 68-80.
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    1430. Palmer, Karen & Walls, Margaret, 2015. "Does Information Provision Shrink the Energy Efficiency Gap? A Cross-City Comparison of Commercial Building Benchmarking and Disclosure Laws," RFF Working Paper Series dp-15-12, Resources for the Future.
    1431. Yang, Qi & Zhang, Daojun, 2021. "The influence of agricultural industrial policy on non-grain production of cultivated land: A case study of the “one village, one product” strategy implemented in Guanzhong Plain of China," Land Use Policy, Elsevier, vol. 108(C).
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    1433. Mary Reader, 2021. "The birthweight effects of universal child benefits in pregnancy: quasi-experimental evidence from England and Wales," CASE Papers /222, Centre for Analysis of Social Exclusion, LSE.
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    1435. Alexis Sienaert, 2008. "The Labour Supply Effects of the South African State Old Age Pension: Theory, Evidence and Implications," SALDRU Working Papers 20, Southern Africa Labour and Development Research Unit, University of Cape Town.
    1436. Savu, A., 2021. "Reverse Political Coattails under a Technocratic Government: New Evidence on the National Electoral Benefits of Local Party Incumbency," Cambridge Working Papers in Economics 2121, Faculty of Economics, University of Cambridge.
    1437. Xingchi Shen & Yueming Lucy Qiu & Pengfei Liu & Anand Patwardhan, 2022. "The Effect of Rebate and Loan Incentives on Residential Heat Pump Adoption: Evidence from North Carolina," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(3), pages 741-789, July.
    1438. Dor Leventer & Daniel Nevo, 2024. "Correcting invalid regression discontinuity designs with multiple time period data," Papers 2408.05847, arXiv.org, revised Feb 2025.
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    1442. Crost, Benjamin & Guerrero, Santiago, 2012. "The effect of alcohol availability on marijuana use: Evidence from the minimum legal drinking age," Journal of Health Economics, Elsevier, vol. 31(1), pages 112-121.
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    1444. Daniel Höhmann, 2017. "The effect of legislature size on public spending: evidence from a regression discontinuity design," Public Choice, Springer, vol. 173(3), pages 345-367, December.
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    1483. Martin Gonzalez-Rozada & Freddy Llerena Pinto, 2011. "The Effects of a Conditional Transfer Program on the Labor Market: The Human Development Bonus in Ecuador," Department of Economics Working Papers 2011-04, Universidad Torcuato Di Tella.
    1484. Pierre Kohler, 2012. "The Effect of Host Society Culture on Migrant Wage Discrimination: Approaching the Roestigraben," IHEID Working Papers 08-2012, Economics Section, The Graduate Institute of International Studies.
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    1498. Cappelletti, Giuseppe & Ponte Marques, Aurea & Salleo, Carmelo & Martín, Diego Vila, 2020. "How do banking groups react to macroprudential policies? Cross-border spillover effects of higher capital buffers on lending, risk-taking and internal markets," Working Paper Series 2497, European Central Bank.
    1499. de Lazzer, Jakob, 2016. "Non-monotonic Selection Issues in Electoral Regression Discontinuity Designs," VfS Annual Conference 2016 (Augsburg): Demographic Change 145845, Verein für Socialpolitik / German Economic Association.
    1500. Rodriguez, Francisco, 2022. "Sanctions and Imports of Essential Goods; A Closer Look at the Equipo Anova (2021) Results," MPRA Paper 115714, University Library of Munich, Germany.
    1501. Radulescu, Doina & Pavanini, Nicola & Feger, Fabian, 2016. "Welfare and Redistribution Effects of Alternative Tariffs in Energy Markets with Solar Power," VfS Annual Conference 2016 (Augsburg): Demographic Change 145669, Verein für Socialpolitik / German Economic Association.
    1502. Pietro Santoleri & Andrea Mina & Alberto Di Minin & Irene Martelli, 2024. "The Causal Effects of R&D Grants: Evidence from a Regression Discontinuity," The Review of Economics and Statistics, MIT Press, vol. 106(6), pages 1495-1510, November.
    1503. Khanna, Gaurav, 2023. "Response to "Comment on Khanna (2023)"," I4R Discussion Paper Series 71, The Institute for Replication (I4R).
    1504. Zhaohua Zhang & Yuxi Luo & Derrick Robinson, 2019. "Who Are the Beneficiaries of China’s New Rural Pension Scheme? Sons, Daughters, or Parents?," IJERPH, MDPI, vol. 16(17), pages 1-16, August.
    1505. Daniel Burkhard, 2015. "Consumption smoothing at retirement: average and quantile treatment effects in the regression discontinuity design," Diskussionsschriften dp1512, Universitaet Bern, Departement Volkswirtschaft.
    1506. Sjögren, Anna & Vikström, Johan, 2015. "How long and how much? Learning about the design of wage subsidies from policy changes and discontinuities," Labour Economics, Elsevier, vol. 34(C), pages 127-137.
    1507. Jessen, Jonas & Kühnle, Daniel & Wagner, Markus, 2021. "Downstream Effects of Voting on Turnout and Political Preferences: Long-Run Evidence from the UK," IZA Discussion Papers 14296, Institute of Labor Economics (IZA).
    1508. Hirani, Jonas Lau-Jensen, 2021. "Inattention or reluctance? Parental responses to vaccination reminder letters," Journal of Health Economics, Elsevier, vol. 76(C).
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    1510. Mario Bernasconi & Tunga Kantarcı & Arthur Soest & Jan-Maarten Sonsbeek, 2024. "The added worker effect: evidence from a disability insurance reform," Review of Economics of the Household, Springer, vol. 22(4), pages 1275-1316, December.
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    1513. Zhaohua Zhang & Yuxi Luo & Derrick Robinson, 2020. "Do Social Pensions Help People Living on the Edge? Assessing Determinants of Vulnerability to Food Poverty Among the Rural Elderly," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(1), pages 198-219, January.
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    1520. Pope, Nolan G., 2016. "The Marginal effect of K-12 English language development programs: Evidence from Los Angeles Schools," Economics of Education Review, Elsevier, vol. 53(C), pages 311-328.
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  65. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.

    Cited by:

    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
    2. Thomas Kruppe & Julia Lang, 2018. "Labour market effects of retraining for the unemployed: the role of occupations," Applied Economics, Taylor & Francis Journals, vol. 50(14), pages 1578-1600, March.
    3. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    4. Burt S. Barnow & Jeffrey Smith, 2015. "Employment and Training Programs," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234, National Bureau of Economic Research, Inc.
    5. Card, David & Kluve, Jochen & Weber, Andrea, 2009. "Active Labor Market Policy Evaluations: A Meta-Analysis," IZA Discussion Papers 4002, Institute of Labor Economics (IZA).
    6. Rothstein, Jesse & Von Wachter, Till, 2016. "Social Experiments in the Labor Market," Department of Economics, Working Paper Series qt7957p9g6, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
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    33. Biewen, Martin & Fitzenberger, Bernd & Osikominu, Aderonke & Waller, Marie, 2007. "Which Program for Whom? Evidence on the Comparative Effectiveness of Public Sponsored Training Programs in Germany," ZEW Discussion Papers 07-042, ZEW - Leibniz Centre for European Economic Research.
    34. Eduardo Rodrigues-Oreggia, 2010. "The Impact of Natural Disasters on Human Development and Poverty at the Municipal Level in Mexico," CID Working Papers 43, Center for International Development at Harvard University.
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    37. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
    38. Ibarrarán, Pablo & Kluve, Jochen & Ripani, Laura & Rosas Shady, David, 2015. "Experimental Evidence on the Long-Term Impacts of a Youth Training Program," IZA Discussion Papers 9136, Institute of Labor Economics (IZA).
    39. Peter R. Mueser & Kenneth R. Troske & Carolyn J. Heinrich, 2007. "The Role of Temporary Help Employment in Low-wage Worker Advancement," Working Papers 0719, Department of Economics, University of Missouri.
    40. Robin Jacob & Marie-Andree Somers & Pei Zhu & Howard Bloom, 2016. "The Validity of the Comparative Interrupted Time Series Design for Evaluating the Effect of School-Level Interventions," Evaluation Review, , vol. 40(3), pages 167-198, June.
    41. Heinrich, Carolyn J. & Mueser, Peter R. & Troske, Kenneth & Jeon, Kyung-Seong & Kahvecioglu, Daver C., 2009. "New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program," IZA Discussion Papers 4569, Institute of Labor Economics (IZA).
    42. Susan Athey & Stefan Wager, 2021. "Policy Learning With Observational Data," Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
    43. Eva M. Berger & Günther König & Henning Mueller & Felix Schmidt & Daniel Schunk, 2016. "Self-Regulation Training, Labor Market Reintegration of Unemployed Individuals, and Locus of Control - Evidence from a Natural Field Experiment," CESifo Working Paper Series 6246, CESifo.
    44. Andrew P. Jaciw, 2016. "Assessing the Accuracy of Generalized Inferences From Comparison Group Studies Using a Within-Study Comparison Approach," Evaluation Review, , vol. 40(3), pages 199-240, June.
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    46. Card, David & Ibarrarán, Pablo & Villa, Juan Miguel, 2011. "Building in an Evaluation Component for Active Labor Market Programs: A Practitioner's Guide," IZA Discussion Papers 6085, Institute of Labor Economics (IZA).
    47. Andersen, Henrik L. & Osland, Liv & Zhang, Meng Le, 2023. "Labour market integration of refugees and the importance of the neighbourhood: Norwegian quasi-experimental evidence," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-16.
    48. Eduardo Rodrigues-Oreggia & Samuel Freije, 2012. "Long term impact of a Cash-Transfers Program on Labor Outcomes of the Rural Youth," CID Working Papers 230, Center for International Development at Harvard University.
    49. Escudero, Verónica. & Horne, Richard & Kühn, Stefan. & Milasi, Santo. & López Mourelo, Elva. & Pignatti, Clemente. & Silvander, Johanna. & Tobin, Steven., 2014. "An employment-oriented investment strategy for Europe," Studies on Growth with Equity, International Labour Office, Research Department, number 994870563402676, April.
    50. Adriana Kugler & Maurice Kugler & Juan E. Saavedra & Luis Omar Herrera-Prada, 2022. "Long-Term Educational Consequences of Vocational Training in Colombia: Impacts on Young Trainees and Their Relatives," Journal of Human Resources, University of Wisconsin Press, vol. 57(1), pages 178-216.
    51. Jones, Michael, 2017. "The Effect of Job Readiness Programs on Criminal Behavior," MPRA Paper 81908, University Library of Munich, Germany.
    52. Riddell, Chris & Riddell, Craig, 2012. "The pitfalls of work requirements in welfare-to-work policies: Experimental evidence on human capital accumulation in the Self-Sufficiency Project," CLSSRN working papers clsrn_admin-2012-11, Vancouver School of Economics, revised 31 Mar 2012.
    53. Ozkan Eren & Serkan Ozbeklik, 2014. "Who Benefits From Job Corps? A Distributional Analysis Of An Active Labor Market Program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 586-611, June.
    54. Rachel Gordon & Carolyn Heinrich, 2009. "The potential of a couples approach to employment assistance: results of a nonexperimental evaluation," Review of Economics of the Household, Springer, vol. 7(2), pages 133-158, June.
    55. Arendt, Jacob Nielsen, 2020. "Labor Market Effects of a Work-first Policy for Refugees," GLO Discussion Paper Series 662, Global Labor Organization (GLO).
    56. Hsiao, Cheng & Shen, Yan & Wang, Boqing & Weeks, Greg, 2008. "Evaluating the effectiveness of Washington state repeated job search services on the employment rate of prime-age female welfare recipients," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 98-108, July.
    57. Corchuelo, Beatriz, 2009. "The Effects of Fiscal Incentives for R & D in Spain," DEE - Working Papers. Business Economics. WB wb092302, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    58. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    59. Zabel, Cordula, 2013. "Effects of participating in skill training and workfare on employment entries for lone mothers receiving means-tested benefits in Germany," IAB-Discussion Paper 201303, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    60. Henrik L. Andersen & Liv Osland & Meng Le Zhang, 2023. "Labour market integration of refugees and the importance of the neighbourhood: Norwegian quasi-experimental evidence," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-15, December.
    61. Gueorgui Kambourov & Iourii Manovskii & Miana Plesca, 2020. "Occupational mobility and the returns to training," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(1), pages 174-211, February.
    62. Julia Shu-Huah Wang, 2021. "State TANF Time Limit and Work Sanction Stringencies and Long-Term Trajectories of Welfare Use, Labor Supply, and Income," Journal of Family and Economic Issues, Springer, vol. 42(4), pages 650-696, December.
    63. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    64. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    65. Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang, 2019. "The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely," NBER Working Papers 26463, National Bureau of Economic Research, Inc.
    66. Jackson Dorsey, 2019. "Waiting for the Courts: Effects of Policy Uncertainty on Pollution and Investment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1453-1496, December.
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    68. Eduardo Fajnzylber & Susana Ojeda, 2012. "Evaluación de Impacto del Programa de Becas Fondo de Cesantía Solidario 2007," Working Papers wp_018, Adolfo Ibáñez University, School of Government.
    69. Jeounghee Kim, 2012. "The Effects of Welfare-to-Work Programs on Welfare Recipients’ Employment Outcomes," Journal of Family and Economic Issues, Springer, vol. 33(1), pages 130-142, March.
    70. Lokossou, Jourdain & Arouna, Aminou & Diagne, Aliou & Biaou, Gauthier, 2015. "Gender differential Impact of NERICA adoption on Total Factor Productivity: evidence from Benin Republic," 2015 Conference, August 9-14, 2015, Milan, Italy 212056, International Association of Agricultural Economists.
    71. Eduardo Fajnzylber & Susana Ojeda, 2011. "Evaluación de Impacto del Programa de Becas Fondo de Cesantía Solidario 2007," Working Papers 50, Superintendencia de Pensiones, revised Oct 2011.
    72. Francesco Lamperti & Roberto Mavilia & Simona Castellini, 2017. "The role of Science Parks: a puzzle of growth, innovation and R&D investments," The Journal of Technology Transfer, Springer, vol. 42(1), pages 158-183, February.
    73. Dean, David & Pepper, John & Schmidt, Robert & Stern, Steven, 2019. "The effects of youth transition programs on labor market outcomes of youth with disabilities," Economics of Education Review, Elsevier, vol. 68(C), pages 68-88.
    74. Doiron, Denise & Gørgens, Tue, 2008. "State dependence in youth labor market experiences, and the evaluation of policy interventions," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 81-97, July.

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    Cited by:

    1. Yolanda Kodrzycki, 2007. "Using unexpected recalls to examine the long-term earnings effects of job displacement," Working Papers 07-2, Federal Reserve Bank of Boston.
    2. Jorge N. Zumaeta Ph.D., 2021. "An Econometric Analysis of the Effects of the Job Training Partnership Act on Self-Sufficiency," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 7(2), pages 66-74, 06-2021.
    3. Van Belle, Eva & Caers, Ralf & De Couck, Marijke & Di Stasio, Valentina & Baert, Stijn, 2017. "Why Is Unemployment Duration a Sorting Criterion in Hiring?," GLO Discussion Paper Series 115, Global Labor Organization (GLO).
    4. Tatsiramos, K. & van Ours, J.C., 2012. "Labor Market Effects of Unemployment Insurance Design," Other publications TiSEM 0550ec64-1dd7-4fd8-a559-7, Tilburg University, School of Economics and Management.
    5. Konstantinos Tatsiramos & Jan C. Ours, 2014. "Labor Market Effects Of Unemployment Insurance Design," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 284-311, April.
    6. Arellano, Manuel & Bentolila, Samuel & Bover, Olympia, 1998. "Unemployment Duration, Benefit Duration and the Business Cycle," CEPR Discussion Papers 1840, C.E.P.R. Discussion Papers.
    7. Arne F. Lyshol & Plamen T. Nenov & Thea Wevelstad, 2021. "Duration Dependence and Labor Market Experience," LABOUR, CEIS, vol. 35(1), pages 105-134, March.
    8. Stefania Marcassa, 2012. "Unemployment Duration of Spouses: Evidence From France," THEMA Working Papers 2012-31, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Jouko Verho, 2005. "Unemployment Duration and Business Cycles in Finland," Working Papers 214, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    10. Michael W. L. Elsby & Ryan Michaels & David Ratner, 2015. "The Beveridge Curve: A Survey," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 571-630, September.
    11. Dickens William T. & Triest Robert K., 2012. "Potential Effects of the Great Recession on the U.S. Labor Market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(3), pages 1-41, October.
    12. Kalwij, Adriaan, 2001. "Individuals' Unemployment Durations over the Business Cycle," IZA Discussion Papers 369, Institute of Labor Economics (IZA).
    13. Knut Roed & Tao Zhang, 2003. "Does Unemployment Compensation Affect Unemployment Duration?," Economic Journal, Royal Economic Society, vol. 113(484), pages 190-206, January.
    14. Kroft, Kory & Lange, Fabian & Notowidigdo, Matthew J., 2012. "Duration Dependence and Labor Market Conditions: Theory and Evidence from a Field Experiment," CLSSRN working papers clsrn_admin-2012-21, Vancouver School of Economics, revised 28 Sep 2012.
    15. Céspedes, Nikita & Gutiérrez, Ana Paola & Belapatiño, Vanessa, 2013. "Determinantes de la duración del desempleo en una economía con alta informalidad," Working Papers 2013-022, Banco Central de Reserva del Perú.
    16. Stepan Jurajda, 2001. "Unemployment Outflow and Unemployment Insurance Taxes," Labor and Demography 0012005, University Library of Munich, Germany.
    17. Canziani, Patrizia & Petrongolo, Barbara, 2001. "Firing costs and stigma: A theoretical analysis and evidence from microdata," European Economic Review, Elsevier, vol. 45(10), pages 1877-1906, December.
    18. Di Domenico, Lorenzo & Gahn, Santiago José & Romaniello, Davide, 2024. "Testing the Waters of Positive Hysteresis: The Effects of Autonomous Demand Shocks on Inflation, Accumulation, and Labor in the US Economy," Centro Sraffa Working Papers CSWP64, Centro di Ricerche e Documentazione "Piero Sraffa".
    19. Adriaan Kalwij, 2010. "Unemployment durations and the pattern of duration dependence over the business cycle of British males," Empirical Economics, Springer, vol. 38(2), pages 429-456, April.
    20. Nagore Garcia, A. & van Soest, A.H.O., 2014. "Unemployment Transitions to Stable and Unstable Jobs Before and During the Crisis," Other publications TiSEM 9292d3ce-b211-4fc4-a7f2-9, Tilburg University, School of Economics and Management.
    21. Paternesi Meloni, Walter & Romaniello, Davide & Stirati, Antonella, 2022. "Inflation and the NAIRU: assessing the role of long-term unemployment as a cause of hysteresis," Economic Modelling, Elsevier, vol. 113(C).
    22. Andrea Morescalchi, 2016. "A new career in a new town. Job search methods and regional mobility of unemployed workers," ERSA conference papers ersa16p307, European Regional Science Association.
    23. Amparo Nagore García & Arthur Soest, 2017. "Unemployment Exits Before and During the Crisis," LABOUR, CEIS, vol. 31(4), pages 337-368, December.
    24. Conefrey, Thomas & McCarthy, Yvonne & Sherman, Martina, 2013. "Re-employment Probabilities for Unemployed Workers in Ireland," Economic Letters 06/EL/13, Central Bank of Ireland.
    25. Feridoon Koohi-Kamali & Aida Farmand & Jose Pedro Bastos Neves, 2021. "The Duration of U.S. Joblessness and the Great Recession," SCEPA working paper series. 2021-03, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    26. Nagore García, Amparo & van Soest, Arthur, 2014. "Unemployment Transitions to Stable and Unstable Jobs Before and During the Crisis," IZA Discussion Papers 8121, Institute of Labor Economics (IZA).
    27. Jouko Verho, 2014. "Unemployment duration and the role of compositional variation: evidence from a period of economic crisis in Finland," Empirical Economics, Springer, vol. 47(1), pages 35-56, August.
    28. Stepan Jurajda, 2001. "In ow into Unemployment: Employment Spells and Unemployment Insurance," Labor and Demography 0012008, University Library of Munich, Germany.
    29. Muriel Dejemeppe & Yves Saks, 2002. "A New Light into Regional Unemployment Disparities in Belgium : Longitudinal Analysis of Grouped Duration Data," LIDAM Discussion Papers IRES 2002019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    30. Stepan Jurajda & Frederick J. Tannery, 2001. "Unemployment Durations and Extended Unemployment Benefits in Local Labor Markets," Labor and Demography 0012006, University Library of Munich, Germany.
    31. Schwartz, J., 2015. "Optimal unemployment insurance: When search takes effort and money," Labour Economics, Elsevier, vol. 36(C), pages 1-17.
    32. John M. Nunley & Adam Pugh & Nicholas Romero & Richard Alan Seals, Jr., 2015. "Unemployment, Underemployment, and Employment Opportunities: Results from a Correspondence Audit," Auburn Economics Working Paper Series auwp2015-13, Department of Economics, Auburn University.
    33. Namingit, Sheryll & Blankenau, William & Schwab, Benjamin, 2021. "Sick and tell: A field experiment analyzing the effects of an illness-related employment gap on the callback rate," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 865-882.
    34. Giulia Martina Tanzi, 2020. "Scars of youth non-employment and labour market conditions," Temi di discussione (Economic working papers) 1312, Bank of Italy, Economic Research and International Relations Area.
    35. NAGORE GARCIA Amparo & VAN SOEST Arthur, 2016. "Unemployment Exits Before and During the Crisis," LISER Working Paper Series 2016-14, Luxembourg Institute of Socio-Economic Research (LISER).
    36. Alexander Plum & Gundi Knies, 2019. "Local unemployment changes the springboard effect of low pay: Evidence from England," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-22, November.
    37. Olympia Bover & Ramón Gómez, 2004. "Another look at unemployment duration: exit to a permanent vs. a temporary job," Investigaciones Economicas, Fundación SEPI, vol. 28(2), pages 285-314, May.
    38. Luis Sagaon TEYSSIER & Nawal ZAAJ, 2015. "Hazard analysis for interval-censored duration of non-employment: school-to-work transition of vocational training graduates in Morocco," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(2), pages 161-178.
    39. Belapatiño, Vanessa & Céspedes, Nikita & Gutierrez, Ana Paola, 2014. "La duración del desempleo en Lima Metropolitana," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 27, pages 67-80.

  67. Susan Athey & Guido Imbens, 2006. "Discrete Choice Models with Multiple Unobserved Choice Characteristics," Levine's Bibliography 122247000000001040, UCLA Department of Economics.

    Cited by:

    1. Christopher T. Conlon & Julie Holland Mortimer, 2008. "Demand Estimation Under Incomplete Product Availability," NBER Working Papers 14315, National Bureau of Economic Research, Inc.
    2. Haoge Chang & Yusuke Narita & Kota Saito, 2022. "Approximating Choice Data by Discrete Choice Models," Papers 2205.01882, arXiv.org, revised Dec 2023.
    3. Martin Burda & Matthew C. Harding & Jerry Hausman, 2008. "A Bayesian mixed logit-probit model for multinomial choice," CeMMAP working papers CWP23/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Steven Berry & Phil Haile, 2015. "Identification in differentiated product markets," CeMMAP working papers CWP47/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Steven T. Berry & Philip A. Haile, 2009. "Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers," NBER Working Papers 15276, National Bureau of Economic Research, Inc.
    6. Steven T. Berry & Philip Haile, 2010. "Identification in Differentiated Products Markets Using Market Level Data," Cowles Foundation Discussion Papers 1744R, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    7. Jun, Sung Jae & Pinkse, Joris, 2020. "Counterfactual prediction in complete information games: Point prediction under partial identification," Journal of Econometrics, Elsevier, vol. 216(2), pages 394-429.
    8. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2013. "Hedonic Estimation under Very General Conditions Using Experimental and Quasi-Experimental Designs," IZA Discussion Papers 7554, Institute of Labor Economics (IZA).
    9. Eric Gautier & Yuichi Kitamura, 2013. "Nonparametric Estimation in Random Coefficients Binary Choice Models," Econometrica, Econometric Society, vol. 81(2), pages 581-607, March.
    10. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    11. Okwelum, Edson, 2015. "Consumer Heterogeneity and Gasoline Price Response: Implications for Optimal Tax policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205897, Agricultural and Applied Economics Association.
    12. Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019. "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers 1906.02635, arXiv.org, revised Aug 2023.
    13. Ian M. McCarthy & Rusty Tchernis, 2010. "Search costs and Medicare plan choice," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1142-1165, October.
    14. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.

  68. Guido W. Imbens, 2006. "Matching methods for estimating treatment effects using Stata," North American Stata Users' Group Meetings 2006 13, Stata Users Group.

    Cited by:

    1. Anil Nathan & Sovita Hean & Ryan Elliot, 2015. "The Value of a Private Education: Differential Returns and Selection on Observables," Working Papers 1502, College of the Holy Cross, Department of Economics.

  69. Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand," IZA Discussion Papers 2347, Institute of Labor Economics (IZA).

    Cited by:

    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
    2. Busso, Matias & Kline, Patrick, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Working Papers 36, Yale University, Department of Economics.
    3. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    4. Evan Borkum & Paolo Abarcar & Laura Meyer & Matthew Spitzer, "undated". "Jordan Refugee Livelihoods Development Impact Bond Evaluation Framework," Mathematica Policy Research Reports 602dafe521fe4467854dcd45e, Mathematica Policy Research.
    5. Deininger, Klaus & Liu, Yanyan, 2009. "Longer-term economic impacts of self-help groups in india," Policy Research Working Paper Series 4886, The World Bank.
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    37. Jeffrey Clemens, 2015. "The Minimum Wage and the Great Recession: Evidence from the Current Population Survey," NBER Working Papers 21830, National Bureau of Economic Research, Inc.
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    43. Weibin Mo & Yufeng Liu, 2022. "Efficient learning of optimal individualized treatment rules for heteroscedastic or misspecified treatment‐free effect models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 440-472, April.
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    Cited by:

    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
    2. de Brauw, Alan & Gilligan, Daniel O. & Hoddinott, John & Roy, Shalini, 2014. "The Impact of Bolsa Família on Women’s Decision-Making Power," World Development, Elsevier, vol. 59(C), pages 487-504.
    3. Busso, Matias & Kline, Patrick, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Working Papers 36, Yale University, Department of Economics.
    4. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Chunrong Ai & Lukang Huang & Zheng Zhang, 2018. "A Simple and Efficient Estimation of the Average Treatment Effect in the Presence of Unmeasured Confounders," Papers 1807.05678, arXiv.org.
    6. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    7. Yanchun Jin, 2016. "Nonparametric tests for the effect of treatment on conditional variance," KIER Working Papers 948, Kyoto University, Institute of Economic Research.
    8. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand," Working Papers 0608, University of Miami, Department of Economics.
    9. Vera Chiodi & Gabriel Montes‐Rojas, 2022. "Mentoring as a dose treatment: Frequency matters—Evidence from a French mentoring programme," LABOUR, CEIS, vol. 36(2), pages 145-166, June.
    10. Michael Lechner & Blaise Melly, 2010. "Partial Idendification of Wage Effects of Training Programs," Working Papers 2010-8, Brown University, Department of Economics.
    11. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Gilligan, Daniel O. & Hoddinott, John F. & Roy, Shalini & de Brauw, Alan, 2014. "The impact of Bolsa Família on schooling: Girls’ advantage increases and older children gain:," IFPRI discussion papers 1319, International Food Policy Research Institute (IFPRI).
    13. Lechner, Michael & Melly, Blaise, 2007. "Earnings Effects of Training Programs," CEPR Discussion Papers 6400, C.E.P.R. Discussion Papers.
    14. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    15. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Garbero, A., 2016. "IFAD RESEARCH SERIES 7 - Measuring IFAD’s impact: background paper to the IFAD9 Impact Assessment Initiative," IFAD Research Series 280045, International Fund for Agricultural Development (IFAD).
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    20. Deka, Manash Jyoti & Kamble, Akash Dilip & Das, Dudul & Sharma, Prabhakar & Ali, Shahadath & Kalita, Paragmoni & Bora, Bhaskor Jyoti & Kalita, Pankaj, 2024. "Enhancing the performance of a photovoltaic thermal system with phase change materials: Predictive modelling and evaluation using neural networks," Renewable Energy, Elsevier, vol. 224(C).
    21. Martin Huber & Michael Lechner & Conny Wunsch, 2010. "How to control for many covariates? Reliable estimators based on the propensity score," University of St. Gallen Department of Economics working paper series 2010 2010-30, Department of Economics, University of St. Gallen.
    22. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    23. de Brauw, Alan & Gilligan, Daniel O. & Hoddinott, John & Roy, Shalini, 2015. "The Impact of Bolsa Família on Schooling," World Development, Elsevier, vol. 70(C), pages 303-316.
    24. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
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  71. Whitney Newey & Guido Imbens, 2004. "Identification and Estimation of Triangular Simultaneous Equations Models without Additivity," Econometric Society 2004 North American Summer Meetings 594, Econometric Society.

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    1. Romuald Meango & Esther Mirjam Girsberger, 2023. "Just Ask Them Twice: Choice Probabilities and Identification of Ex ante returns and Willingness-To-Pay," Papers 2303.03009, arXiv.org, revised Feb 2025.
    2. Victor Aguirregabiria, 2006. "Another Look at the Identification of Dynamic Discrete Decision Processes: With an Application to Retirement Behavior," 2006 Meeting Papers 169, Society for Economic Dynamics.
    3. Depalo, D.;, 2019. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health, Econometrics and Data Group (HEDG) Working Papers 19/13, HEDG, c/o Department of Economics, University of York.
    4. Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
    5. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric welfare and demand analysis with unobserved individual heterogeneity," ULB Institutional Repository 2013/251988, ULB -- Universite Libre de Bruxelles.
    7. Dmitry Arkhangelsky, 2019. "Dealing with a Technological Bias: The Difference-in-Difference Approach," Working Papers wp2019_1903, CEMFI.
    8. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Jun, Sung Jae & Pinkse, Joris & Xu, Haiqing, 2011. "Tighter bounds in triangular systems," Journal of Econometrics, Elsevier, vol. 161(2), pages 122-128, April.
    10. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    11. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers CWP48/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Gunsilius, Florian F., 2023. "A condition for the identification of multivariate models with binary instruments," Journal of Econometrics, Elsevier, vol. 235(1), pages 220-238.
    13. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    14. Iván Fernández‐Val & Aico van Vuuren & Francis Vella & Franco Peracchi, 2024. "Hours worked and the US distribution of real annual earnings 1976–2019," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 659-678, June.
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    16. William Liu, 2023. "A Theory Guide to Using Control Functions to Instrument Hazard Models," Papers 2312.03165, arXiv.org.
    17. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    18. Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
    19. Fernandez-Val , Ivan & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules," Working Papers in Economics 716, University of Gothenburg, Department of Economics.
    20. Giuseppe De Luca & Franco Peracchi, 2010. "Estimating Engel curves under unit and item nonresponse," EIEF Working Papers Series 1004, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2010.
    21. Steven N. Durlauf & Yannis M. Ioannides, 2009. "Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0739, Department of Economics, Tufts University.
    22. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
    23. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Feb 2025.
    24. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    25. Wei Zhao & David M. Kaplan, 2023. "Conditions for Extrapolating Differences in Consumption to Differences in Welfare," Working Papers 2307, Department of Economics, University of Missouri.
    26. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    27. Hoderlein, Stefan & White, Halbert, 2012. "Nonparametric identification in nonseparable panel data models with generalized fixed effects," Journal of Econometrics, Elsevier, vol. 168(2), pages 300-314.
    28. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.
    29. Manuel Arellano & Richard Blundell & Stéphane Bonhomme & Jack Light, 2024. "Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence," Post-Print hal-04536563, HAL.
    30. Santiago Pereda-Fernández, 2024. "Estimation of counterfactual distributions with a continuous endogenous treatment," Econometric Reviews, Taylor & Francis Journals, vol. 43(8), pages 595-637, September.
    31. Mastromarco, Camilla & Simar, Léopold, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," LIDAM Reprints ISBA 2021009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    32. Jane Cooley Fruehwirth & Sriya Iyer & Anwen Zhang, 2019. "Religion and Depression in Adolescence," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1178-1209.
    33. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
    34. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    35. Chesher, Andrew, 2013. "Semiparametric Structural Models Of Binary Response: Shape Restrictions And Partial Identification," Econometric Theory, Cambridge University Press, vol. 29(2), pages 231-266, April.
    36. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    37. George Planiteros, 2022. "Reverse matching for ex-ante policy evaluation," DEOS Working Papers 2206, Athens University of Economics and Business.
    38. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    39. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    40. Stefan Hoderlein & Yuya Sasaki, 2011. "On the role of time in nonseparable panel data models," CeMMAP working papers CWP15/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Whitney K. Newey & Sami Stouli, 2018. "Heterogenous coefficients, discrete instruments, and identification of treatment effects," CeMMAP working papers CWP66/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    868. Faltermeier, Liane & Abdulai, Awudu, 2008. "The Adoption of Water Conservation and Intensification Technologies and Farm Income: A Propensity Score Analysis for Rice Farmers in Northern Ghana," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6354, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    883. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    884. Michael Lechner, 2004. "Sequential Matching Estimation of Dynamic Causal Models," University of St. Gallen Department of Economics working paper series 2004 2004-06, Department of Economics, University of St. Gallen.
    885. H. Spencer Banzhaf & Wallace E. Oates, 2012. "On Fiscal Illusion and Ricardian Equivalence in Local Public Finance," NBER Working Papers 18040, National Bureau of Economic Research, Inc.
    886. Kiesel, Kristin & Villas-Boas, Sofia B., 2009. "Can Information Costs Confuse Consumer Choice?---Nutritional Labels in a Supermarket Experiment," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6st6d0rr, Department of Agricultural & Resource Economics, UC Berkeley.
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    890. Awa Diouf & Mouhamadou Fallilou Ndiaye & Cheikh Faye, 2022. "Emergency food aid and household food security during COVID‐19: Evidence from a field survey in Senegal," African Development Review, African Development Bank, vol. 34(4), pages 556-569, December.
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    899. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
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    901. Anup Agrawal & Tommy Cooper & Qin Lian & Qiming Wang, 2013. "Common Advisers in Mergers and Acquisitions: Determinants and Consequences," Journal of Law and Economics, University of Chicago Press, vol. 56(3), pages 691-740.
    902. Tim Pawlowski & Ute Schüttoff & Paul Downward & Michael Lechner, 2018. "Can Sport Really Help to Meet the Millennium Development Goals? Evidence From Children in Peru," Journal of Sports Economics, , vol. 19(4), pages 498-521, May.
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    1213. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
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    1224. Bin Liu & Gongming Qian & Jane Wenzhen Lu & Diya Shu, 2024. "Listing pathway, industry competition and internationalization: the case of Chinese family firms," Asia Pacific Journal of Management, Springer, vol. 41(3), pages 1515-1543, September.
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    1235. Adjin, K. Christophe & Goundan, Anatole & Henning, Christian H. C. A. & Sarr, Saer, 2020. "Estimating the impact of agricultural cooperatives in Senegal: Propensity score matching and endogenous switching regression analysis," Working Papers of Agricultural Policy WP2020-10, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
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    1240. Roberto Gabriele & Anna Giunta, 2012. "R&D Incentives: The Effectiveness Of A Place-Based Policy," Departmental Working Papers of Economics - University 'Roma Tre' 0169, Department of Economics - University Roma Tre.
    1241. Alina Botezat & Ruben R. Seiberlich, 2013. "Educational performance gaps in Eastern Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(4), pages 731-756, October.
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    1243. Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Center for Research in Economics and Statistics.
    1244. Rainer Eppel & Thomas Horvath & Helmut Mahringer, 2014. "Die Wirkung von geförderter Beschäftigung in Sozialökonomischen Betrieben und Gemeinnützigen Beschäftigungsprojekten auf die Arbeitsmarktintegration von Arbeitslosen. Ergebnisse einer mikroökonometris," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(11), pages 783-794, November.
    1245. Mohl, Philipp & Hagen, Tobias, 2008. "Which is the Right Dose of EU Cohesion Policy for Economic Growth?," ZEW Discussion Papers 08-104, ZEW - Leibniz Centre for European Economic Research.
    1246. Tao Li, 2018. "Outsourcing Corporate Governance: Conflicts of Interest Within the Proxy Advisory Industry," Management Science, INFORMS, vol. 64(6), pages 2951-2971, June.
    1247. Wunder, Christoph & Schwarze, Johannes, 2009. "Is Posner Right? An Empirical Test of the Posner Argument for Transferring Health Spending from Old Women to Old Men," IZA Discussion Papers 4485, Institute of Labor Economics (IZA).
    1248. Le Ngoc, H., 2018. "Contract farming effects on technical efficiency of the export-oriented rice production sector in Vietnam," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277409, International Association of Agricultural Economists.
    1249. Xiao Xian Huang & Aurore Pelissier & Martine Audibert & Jacky Mathonnat & Ningshan Chen & Anning Ma, 2011. "The Impact of the New Rural Cooperative Medical Scheme on Activities and Financing of Township Hospitals in Weifang, China," CERDI Working papers halshs-00553318, HAL.
    1250. Dontsop Nguezet, Paul Martin & Diagne, Aliou & Okoruwa, Victor O. & Ojehomon, Vivian E.T., 2012. "Estimation of Actual and Potential Adoption Rates and Determinants of NERICA Rice Varieties in Nigeria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126069, International Association of Agricultural Economists.
    1251. Ye Steven Siwei & Chen Yanzhen & Padilla Oscar Hernan Madrid, 2023. "2D score-based estimation of heterogeneous treatment effects," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-25.
    1252. Raffaele Guetto & Valentina Tocchioni & Daniele Vignoli, 2023. "The Causal Impact of Temporary Employment on First Births in Italy: An Update," Econometrics Working Papers Archive 2023_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    1253. Marchesano, Katia & Musella, Marco, 2020. "Does volunteer work affect life satisfaction of participants with chronic functional limitations? An empirical investigation," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    1254. Dandan Xu & Michael J. Daniels & Almut G. Winterstein, 2018. "A Bayesian nonparametric approach to causal inference on quantiles," Biometrics, The International Biometric Society, vol. 74(3), pages 986-996, September.
    1255. Devin G. Pope & Justin R. Sydnor, 2011. "What’s in a Picture?: Evidence of Discrimination from Prosper.com," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 53-92.
    1256. World Bank, 2007. "Poverty and Environment : Understanding Linkages at the Household Level," World Bank Publications - Books, The World Bank Group, number 6924.
    1257. Aditi Bhattacharyya & Daisy Das & Arkadipta Ghosh, 2017. "Electrification and Welfare of Poor Households in Rural India," Working Papers 1702, Sam Houston State University, Department of Economics and International Business.
    1258. Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
    1259. Riera, O. & Minten, B., 2018. "Mobile phones and agricultural market performance in Ethiopia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277107, International Association of Agricultural Economists.
    1260. Ha, Tuan M. & Bac, Ho Van, 2021. "Effects of Climate-Smart Agriculture Adoption on Performance of Rice Farmers in Northeast Vietnam," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 11(04), April.
    1261. Achelrod, Dmitrij & Welte, Tobias & Schreyögg, Jonas & Stargardt, Tom, 2016. "Costs and outcomes of the German disease management programme (DMP) for chronic obstructive pulmonary disease (COPD)—A large population-based cohort study," Health Policy, Elsevier, vol. 120(9), pages 1029-1039.
    1262. Chang, Woo Hyun, 2017. "An Empirical Study on the Effects of Public Procurement on the Productivity and Survivability of SMEs: Case of the Korean Mining and Manufacturing Sectors," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 39(1), pages 1-18.
    1263. Di Cintio, Marco & Grassi, Emanuele, 2010. "Internal Migration and Wage Differentials among Italian University Graduates," MPRA Paper 26707, University Library of Munich, Germany.
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    1266. Khan Samir & Ugander Johan, 2023. "Adaptive normalization for IPW estimation," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-33, January.
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    1268. Nianbo Dong & Elizabeth A. Stuart & David Lenis & Trang Quynh Nguyen, 2020. "Using Propensity Score Analysis of Survey Data to Estimate Population Average Treatment Effects: A Case Study Comparing Different Methods," Evaluation Review, , vol. 44(1), pages 84-108, February.
    1269. Ondřej Dvouletý, 2017. "Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    1270. Handa, Sudhanshu & Natali, Luisa & Seidenfeld, David & Tembo, Gelson & Davis, Benjamin, 2018. "Can unconditional cash transfers raise long-term living standards? Evidence from Zambia," Journal of Development Economics, Elsevier, vol. 133(C), pages 42-65.
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    1274. Atwell, Meghan Salas & Jeon, Jeesoo & Cho, Youngmin & Coulton, Claudia & Lewis, Eric & Sorensen, Alena, 2023. "Using integrated data to examine the effects of summer youth employment program completion on educational and criminal justice system outcomes: Evidence from Cuyahoga County, Ohio," Evaluation and Program Planning, Elsevier, vol. 99(C).
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    9. Kuhn, Dieter, 2011. "Delayering and Firm Performance: Evidence from Swiss firm-level Data," Working papers 2011/02, Faculty of Business and Economics - University of Basel.
    10. Kumar, Neha & Quisumbing, Agnes R., 2010. "Does social capital build women's assets?: The long-term impacts of group-based and individual dissemination of agricultural technology in Bangladesh," CAPRi working papers 97, International Food Policy Research Institute (IFPRI).
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    44. Bai, Yu & Zhang, Linxiu & Liu, Chengfang & Shi, Yaojiang & Mo, Di & Rozelle, Scott, 2016. "Effect of Parental Migration on the Academic Performance of Left-behind Children in Northwestern China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236806, Agricultural and Applied Economics Association.
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    1. James J. Heckman & Petra E. Todd, 2009. "A note on adapting propensity score matching and selection models to choice based samples," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 230-234, January.
    2. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, Institute of Labor Economics (IZA).
    3. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
    4. Federico A. Bugni & Mengsi Gao & Filip Obradovic & Amilcar Velez, 2024. "Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance," Papers 2406.08419, arXiv.org, revised Jun 2024.
    5. van de Walle, Dominique & Mu, Ren, 2007. "Fungibility and the flypaper effect of project aid: Micro-evidence for Vietnam," Journal of Development Economics, Elsevier, vol. 84(2), pages 667-685, November.
    6. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    7. Yasuyuki TODO & Tomohiko INUI & Yuan YUAN, 2012. "Effects of Privatization on Exporting Decisions: Firm-level evidence from Chinese state-owned enterprises," Discussion papers 12015, Research Institute of Economy, Trade and Industry (RIETI).
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    9. de Brauw, Alan & Gilligan, Daniel O. & Hoddinott, John & Roy, Shalini, 2014. "The Impact of Bolsa Família on Women’s Decision-Making Power," World Development, Elsevier, vol. 59(C), pages 487-504.
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    25. Barragan, Luis, 2006. "¿Cuánto es el premio al salario por pertenecer a un sindicato en el Ecuador?: Un análisis usando Propensity Score Matching [How much it is the prize to the wage to belong to a union in Ecuador?: An," MPRA Paper 3947, University Library of Munich, Germany.
    26. Xiong, Ruoxuan & Koenecke, Allison & Powell, Michael & Shen, Zhu & Vogelstein, Joshua T. & Athey, Susan, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Research Papers 3990, Stanford University, Graduate School of Business.
    27. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    28. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Taneli Mäkinen & Fan Li & Andrea Mercatanti & Andrea Silvestrini, 2020. "Effects of eligibility for central bank purchases on corporate bond spreads," BIS Working Papers 894, Bank for International Settlements.
    30. Cansino, José M. & Lopez-Melendo, Jaime & Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2013. "An economic evaluation of public programs for internationalization: The case of the Diagnostic program in Spain," Evaluation and Program Planning, Elsevier, vol. 41(C), pages 38-46.
    31. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    32. John C. Ham & Xianghong Li & Patricia B. Reagan, 2004. "Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men," Working Papers 2004_3, York University, Department of Economics.
    33. Yamauchi, Futoshi & Liu, Yanyan, 2012. "Impacts of an early stage education intervention on students'learning achievement : evidence from the Philippines," Policy Research Working Paper Series 6246, The World Bank.
    34. Jessamyn Schaller & Mariana Zerpa, 2019. "Short-Run Effects of Parental Job Loss on Child Health," American Journal of Health Economics, University of Chicago Press, vol. 5(1), pages 8-41, Winter.
    35. Erlend E. Bø & Elin Halvorsen & Thor O. Thoresen, 2019. "Heterogeneity of the Carnegie Effect," Journal of Human Resources, University of Wisconsin Press, vol. 54(3), pages 726-759.
    36. Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    38. Bryan S. Graham & Keisuke Hirano, 2011. "Robustness to Parametric Assumptions in Missing Data Models," American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.
    39. Peter Eppinger & Hong Ma, 2023. "Optimal Ownership and Firm Performance: An Analysis of China’s FDI Liberalization," CESifo Working Paper Series 10551, CESifo.
    40. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    41. Tommaso Agasisti & Ekaterina Abalmasova & Ekaterina Shibanova & Aleksei Egorov, 2019. "The Causal Impact Of Performance-Based Funding On University Performance: Quasi-Experimental Evidence From A Policy In Russian Higher Education," HSE Working papers WP BRP 221/EC/2019, National Research University Higher School of Economics.
    42. Birthal, Pratap S. & Roy, Devesh & Negi, Digvijay S., 2015. "Assessing the Impact of Crop Diversification on Farm Poverty in India," World Development, Elsevier, vol. 72(C), pages 70-92.
    43. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    44. Yasuyuki TODO, 2008. "Impacts of Aid-Funded Technical Assistance Programs: Firm-Level Evidence from the Indonesian Foundry Industry," Discussion papers 08024, Research Institute of Economy, Trade and Industry (RIETI).
    45. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    46. Burt S. Barnow & Jeffrey Smith, 2015. "Employment and Training Programs," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234, National Bureau of Economic Research, Inc.
    47. Olivier CADOT & Ana FERNANDES & Julien GOURDON & Aaditya MATTOO, 2013. "Are the Benefits of Export Support Durable? Evidence from Tunisia," Working Papers P80, FERDI.
    48. Gernandt, Johannes & Maier, Michael & Pfeiffer, Friedhelm & Rat-Wirtzler, Julie, 2006. "Distributional effects of the high school degree in Germany," ZEW Discussion Papers 06-088, ZEW - Leibniz Centre for European Economic Research.
    49. Samad, Hussain A. & Khandk, Shahidur R. & Asaduzzaman, M. & Yunus, Mohammad, 2013. "The benefits of solar home systems :an analysis from Bangladesh," Policy Research Working Paper Series 6724, The World Bank.
    50. Malerba, Daniele, 2020. "Poverty alleviation and local environmental degradation: An empirical analysis in Colombia," World Development, Elsevier, vol. 127(C).
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    52. Huber, Martin & Tyahlo, Svitlana, 2016. "How war affects political attitudes: evidence from eastern Ukraine," FSES Working Papers 472, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    53. David Albouy & Mike Zabek, 2016. "Housing Inequality," NBER Working Papers 21916, National Bureau of Economic Research, Inc.
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    65. Heng Chen & Matthew Strathearn & Marcel Voia, 2021. "Consumer Cash Withdrawal Behaviour: Branch Networks and Online Financial Innovation," Staff Working Papers 21-28, Bank of Canada.
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  78. Imbens, Guido W. & Pizer, William A., 2000. "The Analysis of Randomized Experiments with Missing Data," Discussion Papers 10596, Resources for the Future.

    Cited by:

    1. Molinari, Francesca, 2005. "Missing Treatments," Working Papers 05-11, Cornell University, Center for Analytic Economics.

  79. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2000. "The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program," NBER Working Papers 8007, National Bureau of Economic Research, Inc.

    Cited by:

    1. Michael Lechner & Ruth Miquel & Conny Wunsch, 2004. "Long-run Effects of Public Sector Sponsored Training in West Germany," University of St. Gallen Department of Economics working paper series 2004 2004-19, Department of Economics, University of St. Gallen.
    2. Lechner, Michael & Miquel, Ruth & Wunsch, Conny, 2005. "The curse and blessing of training the unemployed in a changing economy : the case of East Germany after unification," IAB-Discussion Paper 200514, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Wolfgang Ochel, 2004. "Welfare-to-Work Experiences with Specific Work-First Programmes in Selected Countries," CESifo Working Paper Series 1153, CESifo.
    4. Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2005. "Learning but Not Earning? The Value of Job Corps Training for Hispanic Youths," IZA Discussion Papers 1638, Institute of Labor Economics (IZA).
    5. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    6. Conny Wunsch & Michael Lechner, 2007. "What Did All the Money Do? On the General Ineffectiveness of Recent West German Labour Market Programmes," University of St. Gallen Department of Economics working paper series 2007 2007-19, Department of Economics, University of St. Gallen.
    7. Michael Lechner & Conny Wunsch, 2006. "Are Training Programs More Effective When Unemployment Is High?," University of St. Gallen Department of Economics working paper series 2006 2006-23, Department of Economics, University of St. Gallen.
    8. Rebecca M. Blank, 2002. "Can Equity and Efficiency Complement Each Other?," NBER Working Papers 8820, National Bureau of Economic Research, Inc.
    9. Jason Heyes & Ludek Rychly (ed.), 2013. "Labour Administration in Uncertain Times," Books, Edward Elgar Publishing, number 15525.
    10. Steven Glazerman & Dan M. Levy & David Myers, "undated". "Nonexperimental Versus Experimental Estimates of Earnings Impacts," Mathematica Policy Research Reports 7c8bd68ac8db47caa57c70ee1, Mathematica Policy Research.
    11. Holzer, Harry J., 2008. "Workforce Development as an Antipoverty Strategy: What Do We Know? What Should We Do?," IZA Discussion Papers 3776, Institute of Labor Economics (IZA).
    12. Destefanis, Sergio & Mastromatteo, Giuseppe, 2010. "Wage Inequality and Labour-market Performance. A Role for Corporate Social Responsibility - Disuguaglianza salariale e performance del mercato del lavoro," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(1), pages 91-120.
    13. Dyke, Andrew & Heinrich, Carolyn J. & Mueser, Peter R. & Troske, Kenneth, 2005. "The Effects of Welfare-to-Work Program Activities on Labor Market Outcomes," IZA Discussion Papers 1520, Institute of Labor Economics (IZA).
    14. Huber Martin & Lechner Michael & Wunsch Conny & Walter Thomas, 2011. "Do German Welfare-to-Work Programmes Reduce Welfare Dependency and Increase Employment?," German Economic Review, De Gruyter, vol. 12(2), pages 182-204, May.
    15. Jonathan F. Pingle, 2003. "What if welfare had no work requirements? the age of youngest child exemption and the rise in employment of single mothers," Finance and Economics Discussion Series 2003-57, Board of Governors of the Federal Reserve System (U.S.).
    16. Robert Moffitt, 2002. "The role of randomized field trials in social science research: a perspective from evaluations of reforms of social welfare programs," CeMMAP working papers 23/02, Institute for Fiscal Studies.
    17. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    18. Rebecca M. Blank, 2002. "Evaluating Welfare Reform in the United States," NBER Working Papers 8983, National Bureau of Economic Research, Inc.
    19. Eduardo Rodrigues-Oreggia, 2010. "The Impact of Natural Disasters on Human Development and Poverty at the Municipal Level in Mexico," CID Working Papers 43, Center for International Development at Harvard University.
    20. The Treasury, 2001. "Human Capital and the Inclusive Economy," Treasury Working Paper Series 01/16, New Zealand Treasury.
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    22. Raaum, Oddbjørn & Torp, Hege & Zhang, Tao, 2003. "Do individual programme effects exceed the costs? Norwegian evidence on long run effects of labour market training," Memorandum 15/2002, Oslo University, Department of Economics.
    23. Berthold, Norbert & von Berchem, Sascha, 2002. "Sozialhilfe im wettbewerblichen Föderalismus: Erfahrungen der USA, Lehren für Deutschland," Discussion Paper Series 58, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    24. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.
    25. Eduardo Rodrigues-Oreggia & Samuel Freije, 2012. "Long term impact of a Cash-Transfers Program on Labor Outcomes of the Rural Youth," CID Working Papers 230, Center for International Development at Harvard University.
    26. Angelucci, Manuela & De Giorgi, Giacomo, 2006. "Indirect Effects of an Aid Program: The Case of Progresa and Consumption," IZA Discussion Papers 1955, Institute of Labor Economics (IZA).
    27. V. Joseph Hotz & Charles H. Mullin & John Karl Scholz, 2001. "The Earned Income Tax Credit and Labor Market Participation of Families on Welfare," JCPR Working Papers 214, Northwestern University/University of Chicago Joint Center for Poverty Research.
    28. Ayala, Luis & Rodriguez, Magdalena, 2006. "The latin model of welfare: Do `insertion contracts' reduce long-term dependence?," Labour Economics, Elsevier, vol. 13(6), pages 799-822, December.
    29. Michael White, 2004. "Effective Job Search Practice in the UK's Mandatory Welfare-to-Work Programme for Youth," PSI Research Discussion Series 17, Policy Studies Institute, UK.

  80. Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.

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    1. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
    3. Joshua Goodman & Oded Gurantz & Jonathan Smith, 2018. "Take Two! SAT Retaking and College Enrollment Gaps," NBER Working Papers 24945, National Bureau of Economic Research, Inc.
    4. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Francesco Andreoli & Arnaud Lefranc, 2013. "Equalization of opportunity: Definitions and implementable conditions," Working Papers 310, ECINEQ, Society for the Study of Economic Inequality.
    6. Ihle, Dorothee, 2017. "Quantile treatment effects of Riester participation on wealth," CAWM Discussion Papers 96, University of Münster, Münster Center for Economic Policy (MEP).
    7. Toru Kitagawa & Aleksey Tetenov, 2018. "Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice," Econometrica, Econometric Society, vol. 86(2), pages 591-616, March.
    8. Clément de Chaisemartin & Luc Behaghel, 2020. "Estimating the Effect of Treatments Allocated by Randomized Waiting Lists," Econometrica, Econometric Society, vol. 88(4), pages 1453-1477, July.
    9. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    10. Toru Kitagawa & Aleksey Tetenov, 2018. "Equality-minded treatment choice," CeMMAP working papers CWP71/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Kaplan, David M. & Sun, Yixiao, 2012. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," University of California at San Diego, Economics Working Paper Series qt888657tp, Department of Economics, UC San Diego.
    12. Ron Diris, 2017. "Don't Hold Back? The Effect of Grade Retention on Student Achievement," Education Finance and Policy, MIT Press, vol. 12(3), pages 312-341, Summer.
    13. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    14. Gary Goertz & Tony Hak & Jan Dul, 2013. "Ceilings and Floors," Sociological Methods & Research, , vol. 42(1), pages 3-40, February.
    15. Dambala Gelo & Steven F. Koch & Edwin Muchapondwah, 2013. "Do the Poor Benefit from Devolution Policies? Evidences from Quantile Treatment Effect Evaluation of Joint Forest Management," Working Papers 201388, University of Pretoria, Department of Economics.
    16. Salima BOUAYAD AGHA & Nadine TURPIN & Lionel VEDRINE, 2013. "Au-Delà De La Moyenne : Les Effets Par Quantile De La Politique De Cohésion De L’Union Européenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 27-48.
    17. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    18. Ruth Miquel, 2002. "Identification of Dynamic Treatment Effects by Instrumental Variables," University of St. Gallen Department of Economics working paper series 2002 2002-11, Department of Economics, University of St. Gallen.
    19. Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
    20. Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
    21. Burt S. Barnow & Jeffrey Smith, 2015. "Employment and Training Programs," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234, National Bureau of Economic Research, Inc.
    22. Bargain, Olivier B. & Melly, Blaise, 2008. "Public Sector Pay Gap in France: New Evidence Using Panel Data," IZA Discussion Papers 3427, Institute of Labor Economics (IZA).
    23. Antecol, Heather & Eren, Ozkan & Ozbeklik, Serkan, 2013. "The Effect of Teach for America on the Distribution of Student Achievement in Primary School: Evidence from a Randomized Experiment," IZA Discussion Papers 7296, Institute of Labor Economics (IZA).
    24. Sandra Kendo & Josephine Tchakounte, 2022. "Impact of asset size on performance and outreach using panel quantile regression with non-additive fixed effects," Empirical Economics, Springer, vol. 62(1), pages 65-92, January.
    25. Song, Yang, 2019. "Sorting, school performance and quality: Evidence from China," Journal of Comparative Economics, Elsevier, vol. 47(1), pages 238-261.
    26. Luc Behaghel & Clément de Chaisemartin & Marc Gurgand, 2017. "Ready for Boarding? The Effects of a Boarding School for Disadvantaged Students," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 140-164, January.
    27. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
    28. Kostov, Philip & Patton, Myles & Moss, Joan & McErlean, Seamus, 2006. "Does Gibrat’s law hold amongst dairy farmers in Northern Ireland?," MPRA Paper 3370, University Library of Munich, Germany.
    29. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    30. Natalya Presman & Tanya Suhoy, 2024. "How have government housing programs affected developers' bids in Israel Land Authority land tenders?," Bank of Israel Working Papers 2024.08, Bank of Israel.
    31. Chunrong Ai & Lukang Huang & Zheng Zhang, 2018. "A Simple and Efficient Estimation of the Average Treatment Effect in the Presence of Unmeasured Confounders," Papers 1807.05678, arXiv.org.
    32. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    33. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
    34. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    35. Felipe González & Luis R. Martínez & María Angélica Bautista & Pablo Muñoz & María Mounu Prem, 2019. "Geography of Dictatorship and Support for Democracy," Working Papers ClioLab 28, EH Clio Lab. Instituto de Economía. Pontificia Universidad Católica de Chile.
    36. Besley, Tim & Surico, Paolo & Meads, Neil, 2010. "Risk Heterogeneity and Credit Supply: Evidence from the Mortgage Market," CEPR Discussion Papers 7633, C.E.P.R. Discussion Papers.
    37. Tae-Hwan Kim & Christophe Muller, 2017. "A Robust Test of Exogeneity Based on Quantile Regressions," AMSE Working Papers 1716, Aix-Marseille School of Economics, France.
    38. David Powell, 2013. "A New Framework for Estimation of Quantile Treatment Effects Nonseparable Disturbance in the Presence of Covariates," Working Papers WR-824-1, RAND Corporation.
    39. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    40. Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2014. "Vector quantile regression," CeMMAP working papers 48/14, Institute for Fiscal Studies.
    41. Mao, Lu, 2022. "Identification of the outcome distribution and sensitivity analysis under weak confounder–instrument interaction," Statistics & Probability Letters, Elsevier, vol. 189(C).
    42. Maxime Menuet & Patrick Villieu & Marcel Voia, 2021. "Does public debt secure social peace? A diversionary theory of public debt management," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(3), pages 475-501, October.
    43. Betcherman, Gordon & Olivas, Karina & Dar, Amit, 2004. "Impacts of active labor market programs : new evidence from evaluations with particular attention to developing and transition countries," Social Protection Discussion Papers and Notes 29142, The World Bank.
    44. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    45. Christophe Muller & Christophe Nordman, 2005. "Human capital and wages in two leading industries in Tunisia: evidence from matched worker-firm data," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 48(1-2), pages 183-208.
    46. Marianne Bitler & Jonah Gelbach & Hilary Hoynes, 2003. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," NBER Working Papers 10121, National Bureau of Economic Research, Inc.
    47. Bo Wei & Limin Peng & Mei‐Jie Zhang & Jason P. Fine, 2021. "Estimation of causal quantile effects with a binary instrumental variable and censored data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 559-578, July.
    48. Emilio Depetris-Chauvin & Felipe González, 2023. "The Political Consequences of Vaccines: Quasi-experimental Evidence from Eligibility Rules," Documentos de Trabajo 572, Instituto de Economia. Pontificia Universidad Católica de Chile..
    49. Pereira, Pedro T. & Martins, Pedro S., 2000. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," IZA Discussion Papers 120, Institute of Labor Economics (IZA).
    50. Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
    51. Loi, Massimo & Rodrigues, Margarida, 2012. "A note on the impact evaluation of public policies: the counterfactual analysis," MPRA Paper 42444, University Library of Munich, Germany.
    52. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
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    334. Helke Waelde, 2011. "Demasking the impact of microfinance," Working Papers 1115, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 09 Nov 2011.
    335. Imai, Kosuke, 2008. "Sharp bounds on the causal effects in randomized experiments with "truncation-by-death"," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 144-149, February.
    336. Rodney J. Andrews & Jing Li & Michael F. Lovenheim, 2012. "Quantile Treatment Effects of College Quality on Earnings: Evidence from Administrative Data in Texas," NBER Working Papers 18068, National Bureau of Economic Research, Inc.

  81. Guido W. Imbens, 1999. "The Role of the Propensity Score in Estimating Dose-Response Functions," NBER Technical Working Papers 0237, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ibarrarán, Pablo & Sarzosa, Miguel & Soares, Yuri, 2008. "The Welfare Impacts of Local Investment Projects: Evidence from the Guatemala FIS," IDB Publications (Working Papers) 3020, Inter-American Development Bank.
    2. Michael Lechner & Ruth Miquel & Conny Wunsch, 2004. "Long-run Effects of Public Sector Sponsored Training in West Germany," University of St. Gallen Department of Economics working paper series 2004 2004-19, Department of Economics, University of St. Gallen.
    3. Gerfin, Michael & Lechner, Michael, 2000. "Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," IZA Discussion Papers 154, Institute of Labor Economics (IZA).
    4. Fertig, Michael & Kluve, Jochen, 2005. "The Effect of Age at School Entry on Educational Attainment in Germany," IZA Discussion Papers 1507, Institute of Labor Economics (IZA).
    5. Tugba Akkaya Hocagil & Richard J. Cook & Sandra W. Jacobson & Joseph L. Jacobson & Louise M. Ryan, 2021. "Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1390-1413, October.
    6. Lechner, Michael & Miquel, Ruth & Wunsch, Conny, 2005. "The curse and blessing of training the unemployed in a changing economy : the case of East Germany after unification," IAB-Discussion Paper 200514, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Hämäläinen, Kari & Ollikainen, Virve, 2004. "Differential Effects of Active Labour Market Programmes in the Early Stages of Young People's Unemployment," Research Reports 115, VATT Institute for Economic Research.
    8. Carolyn Heinrich & Marcelo Cabrol, 2005. "An Impact Evaluation of the National Student Scholarship Program in Argentina," OVE Working Papers 0605, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    9. Michael White and Genevieve Knight, 2003. "Benchmarking the effectiveness of NDYP: A review of European and US literature on the microeconomic effects of labour market programmes for young people," PSI Research Discussion Series 10, Policy Studies Institute, UK.
    10. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    11. Lorraine Dearden & Barbara Sianesi, 2001. "Estimating the Returns to Education: Models, Methods and Results," CEE Discussion Papers 0016, Centre for the Economics of Education, LSE.
    12. Erica Field, 2002. "Educational Debt Burden and Career Choice: Evidence from a Financial Aid Experiment at NYU Law School," Working Papers 848, Princeton University, Department of Economics, Industrial Relations Section..
    13. De Carvalho Reis Neves, Mateus & De Figueiredo Silva, Felipe & Freitas, Carlos Otavio, 2024. "The impact of Technical Assistance on adoption of agricultural practices in Brazil," 2024 Annual Meeting, July 28-30, New Orleans, LA 343652, Agricultural and Applied Economics Association.
    14. Larsson, Laura, 2000. "Evaluation of Swedish youth labour market programmes," Working Paper Series 2000:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    15. Michael Lechner & Jeffrey Smith, 2003. "What is the Value Added by Caseworkers?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20031, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    16. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2005. "Selection Or Self-Rejection? Applications Into A Treatment," Industrial Organization 0510002, University Library of Munich, Germany.
    17. Shen, Yu-Chu, 2002. "The effect of hospital ownership choice on patient outcomes after treatment for acute myocardial infarction," Journal of Health Economics, Elsevier, vol. 21(5), pages 901-922, September.
    18. Michael Lechner & Ruth Miquel, 2005. "Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions," University of St. Gallen Department of Economics working paper series 2005 2005-17, Department of Economics, University of St. Gallen.
    19. Cheti Nicoletti, 2002. "Non-Response in Dynamic Panel Data Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-4, International Conferences on Panel Data.
    20. Michael Lechner & Conny Wunsch, 2006. "Active Labour Market Policy in East Germany: Waiting for the Economy to Take Off," University of St. Gallen Department of Economics working paper series 2006 2006-24, Department of Economics, University of St. Gallen.
    21. Hujer, Reinhard & Caliendo, Marco, 2000. "Evaluation of Active Labour Market Policy: Methodological Concepts and Empirical Estimates," IZA Discussion Papers 236, Institute of Labor Economics (IZA).
    22. Thomas Brodaty & Bruno Crépon & Denis Fougère, 2000. "Using Matching Estimators to Evaluate Alternative Youth Employment Programs : Evidence from France, 1986-1988," Working Papers 2000-25, Center for Research in Economics and Statistics.
    23. Fitzenberger, Bernd & Speckesser, Stefan, 2005. "Employment effects of the provision of specific professional skills and techniques in Germany," IAB-Discussion Paper 200521, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    24. Michael Lechner, 2005. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Labor and Demography 0505006, University Library of Munich, Germany.
    25. Carlos A. Flores & Oscar A. Mitnik, 2011. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," Working Papers 2011-10, University of Miami, Department of Economics.
    26. Mateus de Carvalho Reis Neves & Felipe de Figueiredo Silva & Carlos Otávio de Freitas & Marcelo José Braga, 2021. "The Role of Cooperatives in Brazilian Agricultural Production," Agriculture, MDPI, vol. 11(10), pages 1-15, September.
    27. Fitzenberger, Bernd & Osikominu, Aderonke & Völter, Robert, 2006. "Get training or wait? : long-run employment effects of training programs for the unemployed in West Germany," IAB-Discussion Paper 200617, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    28. Fajnzylber, Pablo & Maloney, William F. & Rojas, Gabriel V. Montes, 2006. "Releasing constraints to growth or pushing on a string ? the impact of credit, training, business associations, and taxes on the performance of Mexican micro-firms," Policy Research Working Paper Series 3807, The World Bank.
    29. Leroux, Justin & Rizzo, John & Sickles, Robin, 2004. "Health, Mental Health and Labor Productivity: The Role of Self-Reporting Bias," Working Papers 2004-09, Rice University, Department of Economics.
    30. Kramarz, Francis & Crépon, Bruno, 2000. "Employed 40 Hours or Not Employed 39: Lessons from the 1982 Mandatory Reduction of the Workweek," CEPR Discussion Papers 2358, C.E.P.R. Discussion Papers.
    31. Kathleen Carey & Avi Dor, 2002. "Does Managerial 'Outsourcing' Reduce Expense Preference Behavior? A Comparison of Adopters and Non-Adopters of Contract-Management in US Hospitals," NBER Working Papers 9157, National Bureau of Economic Research, Inc.
    32. Frölich, Markus & Heshmati, Almas & Lechner, Michael, 2000. "A Microeconometric Evaluation of Rehabilitation of Long-term Sickness in Sweden," SSE/EFI Working Paper Series in Economics and Finance 373, Stockholm School of Economics, revised 07 Jun 2000.
    33. Fredriksson, Peter & Johansson, Per, 2003. "Employment, mobility, and active labor market programs," Working Paper Series 2003:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    34. Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2005. "Individual employment effects of job creation schemes in Germany with respect to sectoral heterogeneity," IAB-Discussion Paper 200513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    35. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    36. Raaum, Oddbjørn & Torp, Hege & Zhang, Tao, 2003. "Do individual programme effects exceed the costs? Norwegian evidence on long run effects of labour market training," Memorandum 15/2002, Oslo University, Department of Economics.
    37. Sianesi, Barbara, 2002. "Differential effects of Swedish active labour market programmes for unemployed adults during the 1990s," Working Paper Series 2002:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    38. Larsson, Laura, 2000. "Evaluation of Swedish Youth Labour Market Programmes," Working Paper Series 2000:6, Uppsala University, Department of Economics.
    39. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    40. CREPON Bruno & DUGUET Emmanuel, 2004. "Bank loans, start-up subsidies and the survival of the new firms: an econometric analysis at the entrepreneur level," Labor and Demography 0411004, University Library of Munich, Germany.
    41. Michael Lechner, 2000. "Programme Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labour Market Policies," Econometric Society World Congress 2000 Contributed Papers 0647, Econometric Society.
    42. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.
    43. Raaum, Oddbjørn & Torp, Hege & Zhang, Tao, 2003. "Business cycles and the impact of labour market programmes," Memorandum 14/2002, Oslo University, Department of Economics.
    44. Rajeev Dehejia & Roberta Gatti, 2002. "Child Labor: The Role of Income Variability and Access to Credit Across Countries," NBER Working Papers 9018, National Bureau of Economic Research, Inc.
    45. R. Bellio & E. Gori, 2003. "Impact evaluation of job training programmes: Selection bias in multilevel models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(8), pages 893-907.
    46. Nguyen Viet, Cuong, 2008. "Impact Evaluation of Multiple Overlapping Programs using Difference-in-differences with Matching," MPRA Paper 24899, University Library of Munich, Germany.
    47. Michael Lechner, 2004. "Sequential Matching Estimation of Dynamic Causal Models," University of St. Gallen Department of Economics working paper series 2004 2004-06, Department of Economics, University of St. Gallen.
    48. Cuong, Nguyen Viet, 2009. "Impact evaluation of multiple overlapping programs under a conditional independence assumption," Research in Economics, Elsevier, vol. 63(1), pages 27-54, March.
    49. Zhao, Zhong, 2005. "Sensitivity of Propensity Score Methods to the Specifications," IZA Discussion Papers 1873, Institute of Labor Economics (IZA).
    50. Glinskaya, Elena & Lokshin, Michael, 2005. "Wage differentials between the public and private sector in India," Policy Research Working Paper Series 3574, The World Bank.
    51. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute of Labor Economics (IZA).
    52. Hujer, Reinhard & Wellner, Marc, 2000. "The Effects of Public Sector Sponsored Training on Individual Employment Performance in East Germany," IZA Discussion Papers 141, Institute of Labor Economics (IZA).
    53. Johansson, Per, 2006. "Using internal replication to establish a treatment effect," Working Paper Series 2006:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    54. Thomas Brodaty & Bruno Crepon & Denis Fougere, 2000. "Using Matching Estiamtors to Evaluate Youth Employment Programs: Evidence from France, 1986-1988," Econometric Society World Congress 2000 Contributed Papers 0576, Econometric Society.
    55. Turcotte, Leo & Robst, John & Polachek, Solomon, 2005. "Medical Interventions among Pregnant Women in Fee-for-Service and Managed Care Insurance: A Propensity Score Analysis," IZA Discussion Papers 1803, Institute of Labor Economics (IZA).
    56. Stephan, Gesine & Pahnke, André, 2008. "The Relative Effectiveness of Selected Active Labour Market Programmes and the Common Support Problem," IZA Discussion Papers 3767, Institute of Labor Economics (IZA).
    57. Janod, Veronique & Saint-Martin, Anne, 2004. "Measuring the impact of work reorganization on firm performance: evidence from French manufacturing, 1995-1999," Labour Economics, Elsevier, vol. 11(6), pages 785-798, December.
    58. Inés Hardoy, 2005. "Impact of Multiple Labour Market Programmes on Multiple Outcomes: The Case of Norwegian Youth Programmes," LABOUR, CEIS, vol. 19(3), pages 425-467, September.
    59. Carling, Kenneth & Larsson, Laura, 2002. "Does early intervention help the unemployed youth?," Working Paper Series 2002:10, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    60. Brinkmann, Christian & Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2006. "Zielgruppenspezifische Evaluation von Arbeitsbeschaffungsmaßnahmen : Gewinner und Verlierer," IAB-Forschungsbericht 200605, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

  82. Imbens, G.W. & Rubin, D. & Sacerdote, B., 1999. "Estimating the effect of unearned income on labor supply, earnings, savings and consumption : Evidence from a survey of lottery players," Other publications TiSEM 43407245-d868-4cec-b289-c, Tilburg University, School of Economics and Management.

    Cited by:

    1. Pizer, William & Imbens, Guido, 2000. "The Analysis of Randomized Experiments with Missing Data," RFF Working Paper Series dp-00-19, Resources for the Future.
    2. Karl E. Case, John M. Quigley, Robert J. Shiller., 2001. "Comparing Wealth Effects: The Stock Market versus The Housing Market," Economics Working Papers E01-308, University of California at Berkeley.
    3. Kearney, Melissa Schettini, 2005. "State lotteries and consumer behavior," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2269-2299, December.
    4. Raj Chetty, 2009. "Bounds on Elasticities with Optimization Frictions: A Synthesis of Micro and Macro Evidence on Labor Supply," NBER Working Papers 15616, National Bureau of Economic Research, Inc.
    5. de Carvalho Filho, Irineu Evangelista, 2008. "Old-age benefits and retirement decisions of rural elderly in Brazil," Journal of Development Economics, Elsevier, vol. 86(1), pages 129-146, April.
    6. Marianne Bertrand & Sendhil Mullainathan & Douglas Miller, 2003. "Public Policy and Extended Families: Evidence from Pensions in South Africa," The World Bank Economic Review, World Bank, vol. 17(1), pages 27-50, June.
    7. Luisa Farinha, 2009. "Wealth effects on consumption in Portugal: a microeconometric approach," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    8. Louis Kaplow, 2000. "A Framework for Assessing Estate and Gift Taxation," NBER Working Papers 7775, National Bureau of Economic Research, Inc.
    9. Monica Paiella, 2009. "The Stock Market, Housing And Consumer Spending: A Survey Of The Evidence On Wealth Effects," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 947-973, December.
    10. Tao Gong, 2009. "Do Parental Transfers Reduce Youths' Incentives to Work?," LABOUR, CEIS, vol. 23(4), pages 653-676, December.
    11. Andrew V. Stephenson & Amanda Wilsker, 2016. "Consumption Effects of Foreign Remittances in Jamaica," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(3), pages 309-320, August.
    12. Guido W. Imbens & Donald B. Rubin & Bruce I. Sacerdote, 2001. "Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," American Economic Review, American Economic Association, vol. 91(4), pages 778-794, September.
    13. Michael D. Hurd & Monika Reti & Susann Rohwedder, 2009. "The Effect of Large Capital Gains or Losses on Retirement," NBER Chapters, in: Developments in the Economics of Aging, pages 127-163, National Bureau of Economic Research, Inc.
    14. Vighneswara Swamy, 2022. "Financial wealth effects and consumption expenditure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1933-1946, April.
    15. Marianne Bertrand & Douglas Miller & Sendhil Mullainathan, 1999. "Public Policy and Extended Families: Evidence from South Africa," Working Papers 801, Princeton University, Department of Economics, Industrial Relations Section..
    16. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc.
    17. Mishra, Ashok K. & Chang, Hung-Hao, 2012. "Can off farm employment affect the privatization of social safety net? The case of self-employed farm households," Food Policy, Elsevier, vol. 37(1), pages 94-101.
    18. Andrew Henley, 2004. "House Price Shocks, Windfall Gains and Hours of Work: British Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(4), pages 439-456, September.
    19. Ing-Haw Cheng & Eric French, 2000. "The effect of the run-up in the stock market on labor supply," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 25(Q IV), pages 48-65.
    20. James M. Poterba, 2000. "Stock Market Wealth and Consumption," Journal of Economic Perspectives, American Economic Association, vol. 14(2), pages 99-118, Spring.
    21. Colombino, Ugo, 2014. "Five Crossroads on the Way to Basic Income: An Italian Tour," IZA Discussion Papers 8087, Institute of Labor Economics (IZA).
    22. Alisa C. Lewin & Eric Maurin, 2005. "The Effect of Family Size on Incentive Effects of Welfare Transfers in Two-Parent Families," Evaluation Review, , vol. 29(6), pages 507-529, December.
    23. Shankar Ghimire & Kul Prasad Kapri, 2020. "Does the Source of Remittance Matter? Differentiated Effects of Earned and Unearned Remittances on Agricultural Productivity," Economies, MDPI, vol. 8(1), pages 1-15, January.

  83. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc.

    Cited by:

    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
    2. Rajeev Dehejia, 2000. "Was There a Riverside Miracle? A Framework for Evaluating Multi-Site Programs," NBER Working Papers 7844, National Bureau of Economic Research, Inc.
    3. Christopher Ferrall, 2002. "Estimation and Inference in Social Experiments," General Economics and Teaching 0209001, University Library of Munich, Germany.
    4. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    5. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    6. V. Joseph Hotz & Guido Imbens & Jacob Alex Klerman, 2001. "The Long-Term Gains from GAIN A Re-Analysis of the Impacts of the California GAIN Program," Working Papers DRU-2340, RAND Corporation.
    7. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    8. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
    9. Jennifer Hill & Jane Waldfogel & Jeanne Brooks-Gunn, 2002. "Differential effects of high-quality child care," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 601-627.
    10. Steven Glazerman & Dan M. Levy & David Myers, "undated". "Nonexperimental Versus Experimental Estimates of Earnings Impacts," Mathematica Policy Research Reports 7c8bd68ac8db47caa57c70ee1, Mathematica Policy Research.
    11. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
    12. Robert Moffitt, 2002. "The role of randomized field trials in social science research: a perspective from evaluations of reforms of social welfare programs," CeMMAP working papers 23/02, Institute for Fiscal Studies.
    13. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Guido W. Imbens & Donald B. Rubin & Bruce Sacerdote, 1999. "Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," NBER Working Papers 7001, National Bureau of Economic Research, Inc.
    15. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    16. Carlos A. Flores & Oscar A. Mitnik, 2011. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," Working Papers 2011-10, University of Miami, Department of Economics.
    17. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
    18. Mulugeta S. Kahsai & Randall Jackson, 2015. "Quasi-Experimental Methods an Annotated Bibliography," Working Papers Resource Document 2015-01, Regional Research Institute, West Virginia University.
    19. John V. Pepper, 2003. "Using Experiments to Evaluate Performance Standards: What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).
    20. John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," JCPR Working Papers 105, Northwestern University/University of Chicago Joint Center for Poverty Research.
    21. Steven Lehrer, 2005. "Class Size And Student Achievement: Experimental Estimates Of Who Benefits And Who Loses From Reductions," Working Paper 1046, Economics Department, Queen's University.
    22. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.
    23. Brown, Sarah & Taylor, Karl, 2011. "Reservation wages, market wages and unemployment: Analysis of individual level panel data," Economic Modelling, Elsevier, vol. 28(3), pages 1317-1327, May.
    24. Sarah Brown & Karl Taylor, 2008. "Reservation Wages, Expected Wages and Labour Market Outcomes: Analysis of Individual Level Panel Data," Working Papers 2008008, The University of Sheffield, Department of Economics, revised Jul 2008.
    25. Sarah Brown & Stephen Pudney, 2005. "Hours Constraints and In‐Work Poverty," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 305-315, July.
    26. Larsson, Laura & Lindqvist, Linus & Nordström Skans, Oskar, 2005. "Stepping-stones or dead-ends? An analysis of Swedish replacement contracts," Working Paper Series 2005:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    27. Sarah Brown & Karl Taylor, 2008. "Expectations, Reservation Wages And Employment: Evidence From British Panel Data," Working Papers 2008007, The University of Sheffield, Department of Economics, revised May 2008.
    28. Laura Hartman & Linus Liljeberg & Oskar Skans, 2010. "Stepping-stones, dead-ends, or both? An analysis of Swedish replacement contracts," Empirical Economics, Springer, vol. 38(3), pages 645-668, June.
    29. Laura Larsson, 2003. "Evaluation of Swedish Youth Labor Market Programs," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).

  84. Guido W. Imbens & Donald B. Rubin & Bruce Sacerdote, 1999. "Estimating the Effect of Unearned Income on Labor Supply, Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," NBER Working Papers 7001, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pizer, William & Imbens, Guido, 2000. "The Analysis of Randomized Experiments with Missing Data," RFF Working Paper Series dp-00-19, Resources for the Future.
    2. Karl E. Case, John M. Quigley, Robert J. Shiller., 2001. "Comparing Wealth Effects: The Stock Market versus The Housing Market," Economics Working Papers E01-308, University of California at Berkeley.
    3. Looney, Adam & Singhal, Monica, 2006. "The Effect of Anticipated Tax Changes on Intertemporal Labor Supply and the Realization of Taxable Income," Working Paper Series rwp06-031, Harvard University, John F. Kennedy School of Government.
    4. Kearney, Melissa Schettini, 2005. "State lotteries and consumer behavior," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2269-2299, December.
    5. Raj Chetty, 2009. "Bounds on Elasticities with Optimization Frictions: A Synthesis of Micro and Macro Evidence on Labor Supply," NBER Working Papers 15616, National Bureau of Economic Research, Inc.
    6. Alexander Gelber & Timothy J. Moore & Alexander Strand, 2017. "The Effect of Disability Insurance Payments on Beneficiaries' Earnings," American Economic Journal: Economic Policy, American Economic Association, vol. 9(3), pages 229-261, August.
    7. de Carvalho Filho, Irineu Evangelista, 2008. "Old-age benefits and retirement decisions of rural elderly in Brazil," Journal of Development Economics, Elsevier, vol. 86(1), pages 129-146, April.
    8. Marianne Bertrand & Sendhil Mullainathan & Douglas Miller, 2003. "Public Policy and Extended Families: Evidence from Pensions in South Africa," The World Bank Economic Review, World Bank, vol. 17(1), pages 27-50, June.
    9. Luisa Farinha, 2009. "Wealth effects on consumption in Portugal: a microeconometric approach," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    10. Louis Kaplow, 2000. "A Framework for Assessing Estate and Gift Taxation," NBER Working Papers 7775, National Bureau of Economic Research, Inc.
    11. Monica Paiella, 2009. "The Stock Market, Housing And Consumer Spending: A Survey Of The Evidence On Wealth Effects," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 947-973, December.
    12. Courtney C. Coile, 2015. "Economic Determinants Of Workers’ Retirement Decisions," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 830-853, September.
    13. Tao Gong, 2009. "Do Parental Transfers Reduce Youths' Incentives to Work?," LABOUR, CEIS, vol. 23(4), pages 653-676, December.
    14. Andrew V. Stephenson & Amanda Wilsker, 2016. "Consumption Effects of Foreign Remittances in Jamaica," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(3), pages 309-320, August.
    15. Guido W. Imbens & Donald B. Rubin & Bruce I. Sacerdote, 2001. "Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," American Economic Review, American Economic Association, vol. 91(4), pages 778-794, September.
    16. Michael D. Hurd & Monika Reti & Susann Rohwedder, 2009. "The Effect of Large Capital Gains or Losses on Retirement," NBER Chapters, in: Developments in the Economics of Aging, pages 127-163, National Bureau of Economic Research, Inc.
    17. Vighneswara Swamy, 2022. "Financial wealth effects and consumption expenditure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1933-1946, April.
    18. Marianne Bertrand & Douglas Miller & Sendhil Mullainathan, 1999. "Public Policy and Extended Families: Evidence from South Africa," Working Papers 801, Princeton University, Department of Economics, Industrial Relations Section..
    19. Purvi Sevak, 2002. "Wealth Shocks and Retirement Timing: Evidence from the Nineties," Working Papers wp027, University of Michigan, Michigan Retirement Research Center.
    20. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc.
    21. Mishra, Ashok K. & Chang, Hung-Hao, 2012. "Can off farm employment affect the privatization of social safety net? The case of self-employed farm households," Food Policy, Elsevier, vol. 37(1), pages 94-101.
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    24. James M. Poterba, 2000. "Stock Market Wealth and Consumption," Journal of Economic Perspectives, American Economic Association, vol. 14(2), pages 99-118, Spring.
    25. Colombino, Ugo, 2014. "Five Crossroads on the Way to Basic Income: An Italian Tour," IZA Discussion Papers 8087, Institute of Labor Economics (IZA).
    26. Alisa C. Lewin & Eric Maurin, 2005. "The Effect of Family Size on Incentive Effects of Welfare Transfers in Two-Parent Families," Evaluation Review, , vol. 29(6), pages 507-529, December.
    27. Shankar Ghimire & Kul Prasad Kapri, 2020. "Does the Source of Remittance Matter? Differentiated Effects of Earned and Unearned Remittances on Agricultural Productivity," Economies, MDPI, vol. 8(1), pages 1-15, January.

  85. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rebin, 1998. "Combining Panel Data Sets with Attrition and Refreshment Samples," NBER Technical Working Papers 0230, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
    2. Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
    3. Seger, R. & Franses, Ph.H.B.F., 2007. "Panel design effects on response rates and response quality," Econometric Institute Research Papers EI 2007-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Meemken, Eva-Marie & Spielman, David J. & Qaim, Matin, 2017. "Trading off nutrition and education? A panel data analysis of the dissimilar welfare effects of Organic and Fairtrade standards," Food Policy, Elsevier, vol. 71(C), pages 74-85.
    5. Takahiro Hoshino & Yuya Shimizu, 2019. "Doubly Robust-type Estimation of Population Moments and Parameters in Biased Sampling," Keio-IES Discussion Paper Series 2019-006, Institute for Economics Studies, Keio University.
    6. Das, J.W.M. & Toepoel, V. & van Soest, A.H.O., 2007. "Can I use a Panel? Panel Conditioning and Attrition Bias in Panel Surveys," Other publications TiSEM 9407cc7a-23f1-49b9-990d-8, Tilburg University, School of Economics and Management.
    7. Richard Dorsett, 2004. "Using matched substitutes to adjust for nonignorable nonresponse: an empirical investigation using labour market data," PSI Research Discussion Series 16, Policy Studies Institute, UK.
    8. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    9. Cheng, T. C. & Trivedi, P. K., 2014. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the MABEL Survey," Health, Econometrics and Data Group (HEDG) Working Papers 14/04, HEDG, c/o Department of Economics, University of York.
    10. Christophe Bell'ego & David Benatia & Vincent Dortet-Bernardet, 2023. "The Chained Difference-in-Differences," Papers 2301.01085, arXiv.org, revised Jan 2025.
    11. Arie Kapteyn & Pierre-Carl Michaud & James P. Smith & Arthur Van Soest, 2006. "Effects of Attrition and Non-Response in the Health and Retirement Study," Working Papers WR-407, RAND Corporation.
    12. Masao Ogaki, 2016. "Announcement," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 31-32, March.
    13. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    14. Daniel O. Scharfstein & Charles F. Manski & James C. Anthony, 2004. "On the Construction of Bounds in Prospective Studies with Missing Ordinal Outcomes: Application to the Good Behavior Game Trial," Biometrics, The International Biometric Society, vol. 60(1), pages 154-164, March.
    15. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," NBER Technical Working Papers 0220, National Bureau of Economic Research, Inc.
    16. Breunig, Christoph, 2017. "Testing missing at random using instrumental variables," SFB 649 Discussion Papers 2017-007, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    17. Seik Kim, "undated". "Sample Attrition in the Presence of Population Attrition," Working Papers UWEC-2009-02, University of Washington, Department of Economics.
    18. Marcel Das & Vera Toepoel & Arthur van Soest, 2011. "Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys," Sociological Methods & Research, , vol. 40(1), pages 32-56, February.
    19. Das, M., 2004. "Simple estimators for nonparametric panel data models with sample attrition," Journal of Econometrics, Elsevier, vol. 120(1), pages 159-180, May.
    20. Badi Baltagi & Seuck Song, 2006. "Unbalanced panel data: A survey," Statistical Papers, Springer, vol. 47(4), pages 493-523, October.
    21. Ming-Wen An & Constantine E. Frangakis & Beverly S. Musick & Constantin T. Yiannoutsos, 2009. "The Need for Double-Sampling Designs in Survival Studies: An Application to Monitor PEPFAR," Biometrics, The International Biometric Society, vol. 65(1), pages 301-306, March.
    22. Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, Institute of Labor Economics (IZA).
    23. Harding, Matthew & Lamarche, Carlos, 2019. "A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment," Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
    24. Grigory Franguridi & Lidia Kosenkova, 2024. "Closed-form estimation and inference for panels with attrition and refreshment samples," Papers 2410.11263, arXiv.org.
    25. John M. Abowd & Bruno Crepon & Francis Kramarz, 1997. "Moment Estimation with Attrition," NBER Technical Working Papers 0214, National Bureau of Economic Research, Inc.
    26. Anton Flossmann, 2010. "Accounting for missing data in M-estimation: a general matching approach," Empirical Economics, Springer, vol. 38(1), pages 85-117, February.
    27. Inkmann, J., 2005. "Inverse Probability Weighted Generalised Empirical Likelihood Estimators : Firm Size and R&D Revisited," Discussion Paper 2005-131, Tilburg University, Center for Economic Research.
    28. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Xavier d'Haultfoeuille, 2008. "A New Instrumental Method for Dealing with Endogenous Selection," Working Papers 2008-23, Center for Research in Economics and Statistics.
    30. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    31. Heng Chen & Marie-Hélène Felt & Kim Huynh, 2014. "Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples," Staff Working Papers 14-27, Bank of Canada.
    32. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord-Meehan, 2022. "Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition," Papers 2209.11840, arXiv.org, revised Oct 2023.
    33. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    34. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
    35. Chadi, Adrian, 2021. "Identification of attrition bias using different types of panel refreshments," Economics Letters, Elsevier, vol. 201(C).
    36. Das, J.W.M. & van Soest, A.H.O. & Toepoel, V., 2011. "Nonparametric tests of panel conditioning and attrition bias in panel surveys," Other publications TiSEM 76b0a827-e4b6-403d-8465-a, Tilburg University, School of Economics and Management.
    37. Masao Ogaki, 2016. "2015 Japanese Economic Association—Nakahara Prize," The Japanese Economic Review, Springer, vol. 67(1), pages 31-32, March.
    38. Randolph Luca Bruno & Laura Magazzini & Marco Stampini, 2018. "The Joint Estimate of Singleton and Longitudinal Observations: a GMM Approach for Improved Efficiency," Working Papers 04/2018, University of Verona, Department of Economics.
    39. Takahiro Hoshino & Keisuke Takahata, 2018. "Identification of heterogeneous treatment effects as a function of potential untreated outcome under the nonignorable assignment condition," Keio-IES Discussion Paper Series 2018-005, Institute for Economics Studies, Keio University.
    40. Seik Kim, "undated". "Economic Assimilation of Foreign-Born Workers in the United States: An Overlapping Rotating Panel Analysis," Working Papers UWEC-2008-19, University of Washington, Department of Economics.
    41. Alia El Mahdi & Ali Rashed, 2007. "The Changing Economic Environment and the Development of the Micro and Small Enterprises in Egypt 2006," Working Papers 706, Economic Research Forum, revised 01 Jan 2007.
    42. Seik Kim, 2013. "Wage Mobility of Foreign-Born Workers in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 628-658.
    43. Paul J. Devereux & Gautam Tripathi, 2008. "Optimally combining censored and uncensored datasets," Working Papers 200820, School of Economics, University College Dublin.
    44. Emre Ekinci & Insan Tunah & Berk Yavuzoglu, 2017. "Rescaled Additivity Non-Ignorable (RAN) Model of Generalized Attrition," Working Papers 1702, Nazarbayev University, Department of Economics, revised Mar 2017.
    45. Inkmann, J., 2005. "Inverse Probability Weighted Generalised Empirical Likelihood Estimators : Firm Size and R&D Revisited," Other publications TiSEM c39cff1f-16c1-4446-a83f-c, Tilburg University, School of Economics and Management.
    46. Tom Wansbeek & Erik Meijer, 2007. "Comments on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 33-36, May.
    47. Olanrewaju Akande & Gabriel Madson & D. Sunshine Hillygus & Jerome P. Reiter, 2021. "Leveraging auxiliary information on marginal distributions in nonignorable models for item and unit nonresponse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 643-662, April.
    48. Insan Tunali & Emre Ekinci & Berk Yavuzoglu, 2012. "Rescaled Additively Non-ignorable (RAN) Model of Attrition and Substitution," Koç University-TUSIAD Economic Research Forum Working Papers 1220, Koc University-TUSIAD Economic Research Forum.
    49. Honggao Cao & Daniel H. Hill, 2005. "Active versus Passive Sample Attrition: The Health and Retirement Study," Econometrics 0505006, University Library of Munich, Germany.
    50. Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc.
    51. Paquet, Marie-France & Bolduc, Denis, 2004. "Le problème des données longitudinales incomplètes : une nouvelle approche," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 341-361, Juin-Sept.
    52. Yamana Kazufumi, 2020. "Monte Carlo Evidence on the Estimation Method for Industry Dynamics," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-12, January.
    53. Kosuke Imai, 2009. "Statistical analysis of randomized experiments with non‐ignorable missing binary outcomes: an application to a voting experiment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(1), pages 83-104, February.
    54. Breunig, Christoph, 2017. "Testing Missing At Random Using Instrumental Variables," Rationality and Competition Discussion Paper Series 59, CRC TRR 190 Rationality and Competition.
    55. Das, J.W.M. & Toepoel, V. & van Soest, A.H.O., 2007. "Can I use a Panel? Panel Conditioning and Attrition Bias in Panel Surveys," Discussion Paper 2007-56, Tilburg University, Center for Economic Research.
    56. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    57. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    58. Joachim Inkmann, 2010. "Estimating Firm Size Elasticities of Product and Process R&D," Economica, London School of Economics and Political Science, vol. 77(306), pages 384-402, April.
    59. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    60. Bert Van Landeghem, 2012. "Panel Conditioning and Self-Reported Satisfaction: Evidence from International Panel Data and Repeated Cross-Sections," SOEPpapers on Multidisciplinary Panel Data Research 484, DIW Berlin, The German Socio-Economic Panel (SOEP).
    61. Laurent Davezies & Xavier d'Haultfoeuille, 2013. "Endogenous Attrition in Panels," Working Papers 2013-17, Center for Research in Economics and Statistics.
    62. Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments," Discussion Paper Series DP2020-06, Research Institute for Economics & Business Administration, Kobe University.
    63. Mark McGovern & David Canning & Till Bärnighausen, 2018. "Accounting for Non-Response Bias using Participation Incentives and Survey Design," CHaRMS Working Papers 18-02, Centre for HeAlth Research at the Management School (CHaRMS).
    64. Yuehao Bai & Meng Hsuan Hsieh & Jizhou Liu & Max Tabord‐Meehan, 2024. "Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 256-268, March.
    65. Emre Ekinci, 2009. "Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey," 2009 Meeting Papers 353, Society for Economic Dynamics.

  86. Alberto Abadie & Joshua D. Angrist & Guido W. Imbens, 1998. "Instrumental Variables Estimation of Quantile Treatment Effects," NBER Technical Working Papers 0229, National Bureau of Economic Research, Inc.

    Cited by:

    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
    2. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    3. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
    4. Denis Cogneau & Michael Grimm, 2004. "The Measurement of Income Distribution Dynamics when Demographics are correlated with Income," Working Papers DT/2004/12, DIAL (Développement, Institutions et Mondialisation), revised Dec 2004.
    5. Firpo, Sergio, 2010. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," IZA Discussion Papers 4841, Institute of Labor Economics (IZA).
    6. Firpo, Sergio Pinheiro, 2010. "Identification and estimation of interventions using changes in inequality measures," Textos para discussão 214, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    7. Dammert, Ana C., 2008. "Heterogeneous Impacts of Conditional Cash Transfers: Evidence from Nicaragua," IZA Discussion Papers 3653, Institute of Labor Economics (IZA).
    8. David McKenzie & Hillel Rapoport, 2010. "Self-Selection Patterns in Mexico-U.S. Migration: The Role of Migration Networks," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 811-821, November.
    9. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
    11. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    12. Shlomo Yitzhaki & Edna Schechtman, 2004. "The Gini Instrumental Variable, or the “double instrumental variable” estimator," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 287-313.
    13. Klette, Tor Jakob & Moen, Jarle & Griliches, Zvi, 2000. "Do subsidies to commercial R&D reduce market failures? Microeconometric evaluation studies1," Research Policy, Elsevier, vol. 29(4-5), pages 471-495, April.
    14. Adriana Kugler & Robert Sauer, 2002. "Doctors without borders: The returns to an occupational license for Soviet immigrant physicians in Israel," Economics Working Papers 648, Department of Economics and Business, Universitat Pompeu Fabra.
    15. Kim, Taejong & Lee, Ju-Ho & Lee, Young, 2008. "Mixing versus sorting in schooling: Evidence from the equalization policy in South Korea," Economics of Education Review, Elsevier, vol. 27(6), pages 697-711, December.
    16. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.

  87. Guido W. Imbens & Judith K. Hellerstein, 1996. "Imposing Moment Restrictions from Auxiliary Data by Weighting," NBER Technical Working Papers 0202, National Bureau of Economic Research, Inc.

    Cited by:

    1. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    2. Lv, Yang & Qin, Guoyou & Zhu, Zhongyi, 2024. "Population-level information for improving quantile regression efficiency," Statistics & Probability Letters, Elsevier, vol. 215(C).
    3. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    4. Amélie Crepet & Hugo Harari-Kermadec & Jessica Tressou, 2007. "Using Empirical Likelihood to Combine Data : Application to Food Risk Assessment," Working Papers 2007-20, Center for Research in Economics and Statistics.
    5. Igari, Ryosuke & Hoshino, Takahiro, 2018. "A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 150-166.
    6. Liu, Tianqing & Yuan, Xiaohui, 2012. "Combining quasi and empirical likelihoods in generalized linear models with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 39-58.
    7. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Zafar Nazarov, 2011. "Multiple Imputation for Combined-Survey Estimation With Incomplete Regressors In One But Not Both Surveys," Working Papers WR-887-1, RAND Corporation.
    8. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rebin, 1998. "Combining Panel Data Sets with Attrition and Refreshment Samples," NBER Technical Working Papers 0230, National Bureau of Economic Research, Inc.
    9. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    10. Butler, J. S., 2000. "Efficiency results of MLE and GMM estimation with sampling weights," Journal of Econometrics, Elsevier, vol. 96(1), pages 25-37, May.
    11. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.
    12. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," NBER Technical Working Papers 0220, National Bureau of Economic Research, Inc.
    13. Ramalho, Esmeralda A., 2002. "Regression models for choice-based samples with misclassification in the response variable," Journal of Econometrics, Elsevier, vol. 106(1), pages 171-201, January.
    14. Chris Elbers & Jean Lanjouw, 2000. "Welfare in Village and Towns: Micro-Measurement of Poverty and Inequality," Tinbergen Institute Discussion Papers 00-029/2, Tinbergen Institute.
    15. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    16. Michael Rendall & Ryan Admiraal & Alessandra DeRose & Paola DiGiulio & Mark Handcock & Filomena Racioppi, 2008. "Population constraints on pooled surveys in demographic hazard modeling," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(4), pages 519-539, October.
    17. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
    18. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Elizabeth H. Baker & Zafar Nazarov, 2013. "Multiple Imputation for Combined-survey Estimation With Incomplete Regressors in One but Not Both Surveys," Sociological Methods & Research, , vol. 42(4), pages 483-530, November.
    19. Hamori, Shigeyuki & Motegi, Kaiji & Zhang, Zheng, 2019. "Calibration estimation of semiparametric copula models with data missing at random," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 85-109.
    20. Han, Chirok & Kim, Beomsoo, 2011. "A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated," Economics Letters, Elsevier, vol. 110(2), pages 163-165, February.
    21. Michael S. Rendall & Mark S. Handcock & Stefan H. Jonsson, 2007. "Bayesian Estimation of Hispanic Fertility Hazards from Survey and Population Data," Working Papers WR-496, RAND Corporation.
    22. Grigory Franguridi & Lidia Kosenkova, 2024. "Closed-form estimation and inference for panels with attrition and refreshment samples," Papers 2410.11263, arXiv.org.
    23. Alexander G. Nikolaev & Sheldon H. Jacobson & Wendy K. Tam Cho & Jason J. Sauppe & Edward C. Sewell, 2013. "Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data," Operations Research, INFORMS, vol. 61(2), pages 398-412, April.
    24. Andreas Tryphonides, 2018. "Tilting Approximate Models," Papers 1805.10869, arXiv.org, revised Mar 2024.
    25. John M. Abowd & Bruno Crepon & Francis Kramarz, 1997. "Moment Estimation with Attrition," NBER Technical Working Papers 0214, National Bureau of Economic Research, Inc.
    26. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Mark Handcock & Sami Huovilainen & Michael Rendall, 2000. "Combining registration-system and survey data to estimate birth probabilities," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 187-192, May.
    28. Kwun Chuen Gary Chan & Sheung Chi Phillip Yam & Zheng Zhang, 2016. "Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 673-700, June.
    29. Brocker, Johannes, 2005. "Necessary and unnecessary parameter restrictions for CDES demand systems," Conference papers 331358, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    30. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
    31. Amélie Crépet & Hugo Harari-Kermadec & Jessica Tressou, 2009. "Using Empirical Likelihood to Combine Data: Application to Food Risk Assessment," Biometrics, The International Biometric Society, vol. 65(1), pages 257-266, March.
    32. Xavier d'Haultfoeuille, 2008. "A New Instrumental Method for Dealing with Endogenous Selection," Working Papers 2008-23, Center for Research in Economics and Statistics.
    33. Heng Chen & Marie-Hélène Felt & Christopher Henry, 2018. "2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation," Technical Reports 114, Bank of Canada.
    34. Seojeong Lee, 2014. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for GEL Estimators," Discussion Papers 2014-02, School of Economics, The University of New South Wales.
    35. William J Carrington & John L Eltinge & Kristin McCue, 2000. "An Economist's Primer on Survey Samples," Working Papers 00-15, Center for Economic Studies, U.S. Census Bureau.
    36. Esmeralda A. Ramalho & Joaquim J. S. Ramalho, 2006. "Two‐Step Empirical Likelihood Estimation Under Stratified Sampling When Aggregate Information Is Available," Manchester School, University of Manchester, vol. 74(5), pages 577-592, September.
    37. Ryosuke Igari & Takahiro Hoshino, 2018. "A Bayesian Gamma Frailty Model Using the Sum of Independent Random Variables: Application of the Estimation of an Interpurchase Timing Model," Keio-IES Discussion Paper Series 2018-021, Institute for Economics Studies, Keio University.
    38. Yuichi Kitamura, 2006. "Empirical Likelihood Methods in Econometrics: Theory and Practice," CIRJE F-Series CIRJE-F-430, CIRJE, Faculty of Economics, University of Tokyo.
    39. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & Rui Evangelista, 2017. "Combining micro and macro data in hedonic price indexes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(2), pages 317-332, June.
    40. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    41. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
    42. Michael S. Rendall, 2007. "Book Review: Constrained Statistical Inference: Inequality, Order, and Shape Restrictions," Sociological Methods & Research, , vol. 35(3), pages 447-451, February.
    43. Denis Heng Yan Leung & Ken Yamada & Biao Zhang, 2015. "Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 155-179, March.
    44. Changchun Wu & Runchu Zhang, 2006. "An Information-theoretic Approach to the Effective Usage of Auxiliary Information from Survey Data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 58(3), pages 499-509, September.
    45. Isaiah Andrews & Emily Oster, 2017. "A Simple Approximation for Evaluating External Validity Bias," NBER Working Papers 23826, National Bureau of Economic Research, Inc.
    46. Paul J. Devereux & Gautam Tripathi, 2008. "Optimally combining censored and uncensored datasets," Working Papers 200820, School of Economics, University College Dublin.
    47. F Bravo, 2008. "Effcient M-estimators with auxiliary information," Discussion Papers 08/26, Department of Economics, University of York.
    48. Yuichi Kitamura, 2020. "A Comment on: “On the Informativeness of Descriptive Statistics for Structural Estimates” by Isaiah Andrews, Matthew Gentzkow, and Jesse M. Shapiro," Econometrica, Econometric Society, vol. 88(6), pages 2265-2269, November.
    49. Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc.
    50. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    51. Adam N. Glynn & Jon Wakefield & Mark S. Handcock & Thomas S. Richardson, 2008. "Alleviating linear ecological bias and optimal design with subsample data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 179-202, January.
    52. Judith K. Hellerstein & Melinda Sandler Morrill, 2011. "Dads and Daughters: The Changing Impact of Fathers on Women’s Occupational Choices," Journal of Human Resources, University of Wisconsin Press, vol. 46(2), pages 333-372.
    53. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.
    54. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    55. Michael S. Rendall & Ryan Admiraal & Alessandra De Rose & Paola Di Giulio & Mark S. Handcock & Filomena Racioppi, 2006. "Population constraints on pooled surveys in demographic hazard modeling," MPIDR Working Papers WP-2006-039, Max Planck Institute for Demographic Research, Rostock, Germany.
    56. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    57. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    58. Nevo, Aviv, 2002. "Sample selection and information-theoretic alternatives to GMM," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 149-157, March.
    59. Seojeong Lee, 2018. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Empirical Likelihood Estimators," Papers 1806.00953, arXiv.org, revised Jun 2018.
    60. Bayram, Deniz & Dayé, Modeste, 2014. "Asymptotic Properties of the Weighted Least Squares Estimator Under Moments Restriction," MPRA Paper 60465, University Library of Munich, Germany.
    61. Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments," Discussion Paper Series DP2020-06, Research Institute for Economics & Business Administration, Kobe University.

  88. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," Harvard Institute of Economic Research Working Papers 1781, Harvard - Institute of Economic Research.

    Cited by:

    1. Rajeev Dehejia, 2000. "Was There a Riverside Miracle? A Framework for Evaluating Multi-Site Programs," NBER Working Papers 7844, National Bureau of Economic Research, Inc.
    2. Alan B. Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," NBER Working Papers 7591, National Bureau of Economic Research, Inc.
    3. Piero Stanig, 2015. "Regulation of Speech and Media Coverage of Corruption: An Empirical Analysis of the Mexican Press," American Journal of Political Science, John Wiley & Sons, vol. 59(1), pages 175-193, January.
    4. Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
    5. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    6. Thomas Knox & James H. Stock & Mark W. Watson, 2001. "Empirical Bayes Forecasts of One Time Series Using Many Predictors," NBER Technical Working Papers 0269, National Bureau of Economic Research, Inc.
    7. Alan B. Krueger & Mikael Lindahl, 1998. "Education for Growth in Sweden and the World," Working Papers 790, Princeton University, Department of Economics, Industrial Relations Section..
    8. Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
    9. Daron Acemoglu & Joshua Angrist, 1999. "How Large are the Social Returns to Education? Evidence from Compulsory Schooling Laws," Working papers 99-30, Massachusetts Institute of Technology (MIT), Department of Economics.
    10. Pedro Saramago & Karl Claxton & Nicky J. Welton & Marta Soares, 2020. "Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1575-1593, October.
    11. Joshua D. Angrist & Jinyong Hahn, 1999. "When to Control for Covariates? Panel-Asymptotic Results for Estimates of Treatment Effects," NBER Technical Working Papers 0241, National Bureau of Economic Research, Inc.
    12. Edward E. Leamer, 2010. "Tantalus on the Road to Asymptopia," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 31-46, Spring.

  89. Gary Chamberlain & Guido W. Imbens, 1996. "Nonparametric Applications of Bayesian Inference," Harvard Institute of Economic Research Working Papers 1772, Harvard - Institute of Economic Research.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
    2. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
    3. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    4. Vasilis Syrgkanis & Elie Tamer & Juba Ziani, 2017. "Inference on Auctions with Weak Assumptions on Information," Papers 1710.03830, arXiv.org, revised Mar 2018.
    5. van Dijk Herman K., 2024. "Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 155-176, April.
    6. Martin Halla & Martina Zweimüller, 2014. "Parental Response to Early Human Capital Shocks: Evidence from the Chernobyl Accident," NRN working papers 2014-01, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    7. Giuseppe Ragusa, 2007. "Bayesian Likelihoods for Moment Condition Models," Working Papers 060714, University of California-Irvine, Department of Economics.
    8. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    9. Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Cowles Foundation Discussion Papers 1797, Cowles Foundation for Research in Economics, Yale University.
    10. Luo, Yu & Graham, Daniel J. & McCoy, Emma J., 2023. "Semiparametric Bayesian doubly robust causal estimation," LSE Research Online Documents on Economics 117944, London School of Economics and Political Science, LSE Library.
    11. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    12. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Iv'an Fern'andez-Val, 2011. "Conditional Quantile Processes based on Series or Many Regressors," Papers 1105.6154, arXiv.org, revised Aug 2018.
    13. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2014. "Program evaluation with high-dimensional data," CeMMAP working papers CWP33/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    15. Sylvia Frühwirth-Schnatter & Martin Halla & Alexandra Posekany & Gerald J. Pruckner & Thomas Schober, 2014. "The Quantity and Quality of Children: A Semi-Parametric Bayesian IV Approach," Economics working papers 2014-03, Department of Economics, Johannes Kepler University Linz, Austria.
    16. Jiang, Rong & Zhou, Zhan-Gong & Qian, Wei-Min & Chen, Yong, 2013. "Two step composite quantile regression for single-index models," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 180-191.
    17. David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.
    18. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    19. Tony Lancaster & Sung Jae Jun, 2010. "Bayesian quantile regression methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 287-307.
    20. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    21. Jean-Pierre Dubé & Sanjog Misra, 2017. "Personalized Pricing and Consumer Welfare," NBER Working Papers 23775, National Bureau of Economic Research, Inc.
    22. Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org.
    23. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
    24. Xiaohong Chen & Lars Peter Hansen & Peter G. Hansen, 2020. "Robust identification of investor beliefs," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 33130-33140, December.
    25. Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020. "Teacher-to-classroom assignment and student achievement," Papers 2007.02653, arXiv.org, revised Sep 2020.
    26. Zhichao Liu & Catherine Forbes & Heather Anderson, 2017. "Robust Bayesian exponentially tilted empirical likelihood method," Monash Econometrics and Business Statistics Working Papers 21/17, Monash University, Department of Econometrics and Business Statistics.
    27. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2024. "Semiparametric Bayesian Difference-in-Differences," Papers 2412.04605, arXiv.org, revised Dec 2024.
    28. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Feb 2025.
    29. A. Ronald Gallant, 2020. "Complementary Bayesian method of moments strategies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 422-439, June.
    30. Lewis, Gabriel, 2022. "Heteroskedasticity and Clustered Covariances from a Bayesian Perspective," MPRA Paper 116662, University Library of Munich, Germany.
    31. Seojeong Lee, 2014. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for GEL Estimators," Discussion Papers 2014-02, School of Economics, The University of New South Wales.
    32. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    33. Paserman, M. Daniele, 2004. "Bayesian Inference for Duration Data with Unobserved and Unknown Heterogeneity: Monte Carlo Evidence and an Application," IZA Discussion Papers 996, Institute of Labor Economics (IZA).
    34. Andriy Norets & Justinas Pelenis, 2022. "Adaptive Bayesian Estimation of Discrete‐Continuous Distributions Under Smoothness and Sparsity," Econometrica, Econometric Society, vol. 90(3), pages 1355-1377, May.
    35. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised May 2023.
    36. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    37. Matt Taddy & Matt Gardner & Liyun Chen & David Draper, 2016. "A Nonparametric Bayesian Analysis of Heterogenous Treatment Effects in Digital Experimentation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 661-672, October.
    38. Ronaldo Carpio & Meixin Guo, 2021. "Bayesian estimation of the Eurozone currency union effect," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 511-532, August.
    39. Pedro Saramago & Karl Claxton & Nicky J. Welton & Marta Soares, 2020. "Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1575-1593, October.
    40. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2019. "Identification of Dynamic Panel Binary Response Models," Boston College Working Papers in Economics 979, Boston College Department of Economics.
    41. Kasy, Maximilian, 2022. "Who wins, who loses? Identification of conditional causal effects, and the welfare impact of changing wages," Journal of Econometrics, Elsevier, vol. 226(1), pages 155-170.
    42. Lin, Eric S. & Chou, Ta-Sheng, 2012. "A note on Bayesian interpretations of HCCME-type refinements for nonlinear GMM models," Economics Letters, Elsevier, vol. 116(3), pages 494-497.
    43. Seojeong Lee, 2018. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Empirical Likelihood Estimators," Papers 1806.00953, arXiv.org, revised Jun 2018.
    44. Dale Poirier, 2008. "Bayesian Interpretations of Heteroskedastic Consistent Covariance Estimators Using the Informed Bayesian Bootstrap," Working Papers 080905, University of California-Irvine, Department of Economics.
    45. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.
    46. Sung Jae Jun & Tony Lancaster, 2006. "Bayesian quantile regression," CeMMAP working papers CWP05/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  90. Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens, 1995. "Non-Parametric Demand Analysis with an Application to the Demand for Fish," NBER Technical Working Papers 0178, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pettersson Lidbom, Per, 2003. "Does the Size of the Legislature Affect the Size of Government? Evidence from a Natural Experiment," Research Papers in Economics 2003:18, Stockholm University, Department of Economics.
    2. Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
    3. Arild Aakvik & James J. Heckman & Edward J. Vytlacil, 2000. "Treatment Effects for Discrete Outcomes when Responses to Treatment Vary Among Observationally Identical Persons: An Application to Norwegian ..," NBER Technical Working Papers 0262, National Bureau of Economic Research, Inc.
    4. Behrman, Jere R., 1996. "Measuring the effectiveness of schooling policies in developing countries: Revisiting issues of methodology," Economics of Education Review, Elsevier, vol. 15(4), pages 345-364, October.
    5. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, vol. 66(1), pages 33-39, January.
    6. Daron Acemoglu & Joshua Angrist, 1999. "How Large are the Social Returns to Education? Evidence from Compulsory Schooling Laws," Working papers 99-30, Massachusetts Institute of Technology (MIT), Department of Economics.
    7. Tan, Reynold D. & Pabuayon. Isabelita M. & Rola, Agnes C. & Sumalde, Zenaida M. & Yorobe, Jose M., 2017. "Economic, Socio-Demographic and Psychographic Determinants of Milkfish Consumer Demand, Iloilo Province, Philippines," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 3(2), December.
    8. Corts, Kenneth S., 1998. "Conduct parameters and the measurement of market power," Journal of Econometrics, Elsevier, vol. 88(2), pages 227-250, November.
    9. David Card, 2000. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," NBER Working Papers 7769, National Bureau of Economic Research, Inc.

  91. Gary Chamberlain & Guido W. Imbens, 1995. "Semiparametric Applications of Bayesian Influence," Harvard Institute of Economic Research Working Papers 1716, Harvard - Institute of Economic Research.

    Cited by:

    1. Michele Campolieti, 2001. "Bayesian semiparametric estimation of discrete duration models: an application of the dirichlet process prior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 1-22.

  92. Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995. "Jackknife Instrumental Variables Estimation," NBER Technical Working Papers 0172, National Bureau of Economic Research, Inc.

    Cited by:

    1. Anikó Bíró, 2013. "Subjective mortality hazard shocks and the adjustment of consumption expenditures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1379-1408, October.
    2. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    3. Galasso, Alberto & Schankerman, Mark, 2013. "Patents and Cumulative Innovation:Causal Evidence from the Courts," IIR Working Paper 13-16, Institute of Innovation Research, Hitotsubashi University.
    4. Christian A. L. Hilber, 2010. "New Housing Supply and the Dilution of Social Capital," SERC Discussion Papers 0042, Centre for Economic Performance, LSE.
    5. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    6. Grafton, R. Quentin & Kompas, Tom & To, Hang & Ward, Michael B., 2009. "Residential Water Consumption: A Cross Country Analysis," Research Reports 94823, Australian National University, Environmental Economics Research Hub.
    7. Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2025. "A practical guide to shift-share instruments," LSE Research Online Documents on Economics 127403, London School of Economics and Political Science, LSE Library.
    8. Christian A. L. Hilber & Frédéric Robert-Nicoud, 2010. "On the origins of land use regulations: theory and evidence from us metro areas," Working Papers 2010/33, Institut d'Economia de Barcelona (IEB).
    9. Islam, Asadul & Fausten, Dietrich, 2008. "Skilled Immigration and Wages in Australia," MPRA Paper 7138, University Library of Munich, Germany.
    10. Norman R. Swanson & John C. Chao & Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen, 2011. "Testing Overidentifying Restrictions with Many Instruments and Heteroskedasticity," Departmental Working Papers 201118, Rutgers University, Department of Economics.
    11. James G. MacKinnon & Russell Davidson, 2006. "The case against JIVE," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 827-833.
    12. Jeremy Atack & Robert A. Margo & Paul Rhode, 2020. "‘Mechanization Takes Command’: Inanimate Power and Labor Productivity in Late Nineteenth Century American Manufacturing," NBER Working Papers 27436, National Bureau of Economic Research, Inc.
    13. Eric Gautier & Christiern Rose, 2022. "Fast, Robust Inference for Linear Instrumental Variables Models using Self-Normalized Moments," Papers 2211.02249, arXiv.org, revised Nov 2022.
    14. Chao & Swanson & Hausman & Newey & Woutersen, 2010. "Asymptotic Distribution of JIVE in a Heteroskedastic IV Regression with Many Instruments," Economics Working Paper Archive 567, The Johns Hopkins University,Department of Economics.
    15. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    16. Tom Coupé & W. Robert Reed, 2022. "Do Negative Replications Affect Citations?," Working Papers in Economics 22/02, University of Canterbury, Department of Economics and Finance.
    17. Benjamin G. Hyman, 2022. "Can Displaced Labor Be Retrained? Evidence from Quasi-Random Assignment to Trade Adjustment Assistance," Working Papers 22-05, Center for Economic Studies, U.S. Census Bureau.
    18. Arcand, Jean-Louis & Ai, Chunrong & Ethier, Francois, 2007. "Moral hazard and Marshallian inefficiency: Evidence from Tunisia," Journal of Development Economics, Elsevier, vol. 83(2), pages 411-445, July.
    19. De Haas, Ralph & Martin, Ralf & Muûls, Mirabelle & Schweiger, Helena, 2022. "Managerial and financial barriers during the green transition," LSE Research Online Documents on Economics 117807, London School of Economics and Political Science, LSE Library.
    20. Chuanming Gao & Kajal Lahiri, 2000. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometric Society World Congress 2000 Contributed Papers 0230, Econometric Society.
    21. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
    22. Lechner, Michael & Fröhlich, Markus, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," CEPR Discussion Papers 4304, C.E.P.R. Discussion Papers.
    23. Sara Lemos, 2003. "Political Variables as Instruments for the Minimum Wage," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] f08, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    24. Anna E. Tuchman & Harikesh S. Nair & Pedro M. Gardete, 2018. "Television ad-skipping, consumption complementarities and the consumer demand for advertising," Quantitative Marketing and Economics (QME), Springer, vol. 16(2), pages 111-174, June.
    25. John C. Chao & Norman R. Swanson, 2003. "Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments," Departmental Working Papers 200312, Rutgers University, Department of Economics.
    26. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    27. Kirill S. Evdokimov & Michal Kolesár, 2018. "Inference in Instrumental Variable Regression Analysis with Heterogeneous Treatment Effects," Working Papers 2018-16, Princeton University. Economics Department..
    28. Robert-Nicoud, Frédéric & Olarreaga, Marcelo & Carrère, Céline & Fugazza, Marco, 2016. "On the heterogeneous effect of trade on unemployment," CEPR Discussion Papers 11540, C.E.P.R. Discussion Papers.
    29. Francisca Vargas Lopes & Pieter Bakx & Sam Harper & Bastian Ravesteijn & Tom Van Ourti, 2022. "The effects of supported housing for individuals with mental disorders," Health Economics, John Wiley & Sons, Ltd., vol. 31(S2), pages 115-133, October.
    30. Anna Vignoles & Augustin De Coulon & Oscar Marcenaro-Gutierrez, 2011. "The value of basic skills in the British labour market," Oxford Economic Papers, Oxford University Press, vol. 63(1), pages 27-48, January.
    31. Matz Dahlberg & Sören Blomquist, 2006. "The case against JIVE: a comment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 839-841.
    32. Jason M. Fletcher & Stephen L. Ross & Yuxiu Zhang, 2013. "The Determinants and Consequences of Friendship Composition," Working papers 2013-31, University of Connecticut, Department of Economics.
    33. Martin, R. & de Haas, Ralph & Muuls, Mirabelle & Schweiger, Helena, 2021. "Managerial and Financial Barriers to the Net-Zero Transition," Other publications TiSEM d95224cf-6fd8-486b-b9d7-4, Tilburg University, School of Economics and Management.
    34. Kyle R. Myers & Lauren Lanahan, 2022. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy," American Economic Review, American Economic Association, vol. 112(7), pages 2393-2423, July.
    35. Matsushita, Yukitoshi & Otsu, Taisuke, 2024. "A jackknife Lagrange multiplier test with many weak instruments," LSE Research Online Documents on Economics 116392, London School of Economics and Political Science, LSE Library.
    36. Jan Hanousek & Anastasiya Shamshur & Jan Svejnar & Jiri Tresl, 2021. "Corruption level and uncertainty, FDI and domestic investment," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(9), pages 1750-1774, December.
    37. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    38. Herbst, Chris M. & Tekin, Erdal, 2010. "The Impact of Child Care Subsidies on Child Well-Being: Evidence from Geographic Variation in the Distance to Social Service Agencies," IZA Discussion Papers 5102, Institute of Labor Economics (IZA).
    39. Alan B. Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," NBER Working Papers 7591, National Bureau of Economic Research, Inc.
    40. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    41. Thomas M. Eisenbach & David O. Lucca & Robert M. Townsend, 2016. "Resource Allocation in Bank Supervision: Trade-offs and Outcomes," Staff Reports 769, Federal Reserve Bank of New York.
    42. John A. List & Ian Muir & Gregory K. Sun, 2022. "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," NBER Working Papers 30756, National Bureau of Economic Research, Inc.
    43. Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2022. "Quasi-experimental shift-share research designs," LSE Research Online Documents on Economics 117788, London School of Economics and Political Science, LSE Library.
    44. Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
    45. Lee, Nayoung & Moon, Hyungsik Roger & Zhou, Qiankun, 2017. "Many IVs estimation of dynamic panel regression models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 251-259.
    46. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    47. Tom Coupé & W. Robert Reed, 2023. "Do Replications Make a Difference?," Working Papers in Economics 23/10, University of Canterbury, Department of Economics and Finance.
    48. Jason M. Fletcher & Stephen L. Ross & Yuxiu Zhang, 2013. "The Consequences of Friendships: Evidence on the Effect of Social Relationships in School on Academic Achievement," NBER Working Papers 19215, National Bureau of Economic Research, Inc.
    49. Anna Mikusheva & Liyang Sun, 2024. "Weak identification with many instruments," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages -28.
    50. Ströbel, Johannes & Bailey, Michael & Johnston, Drew & Kuchler, Theresa & Wong, Arlene, 2019. "Peer Effects in Product Adoption," CEPR Discussion Papers 13731, C.E.P.R. Discussion Papers.
    51. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised May 2024.
    52. Wang, Wenjie & Kaffo, Maximilien, 2016. "Bootstrap inference for instrumental variable models with many weak instruments," Journal of Econometrics, Elsevier, vol. 192(1), pages 231-268.
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    1399. Casaburi, Gabriel & Crespi, Gustavo & De León, Ignacio L. & Figal Garone, Lucas & Grazzi, Matteo & Guaipatín, Carlos & Katz, Jorge & Llisterri, Juan J. & Maffioli, Alessandro & Navarro, Juan Carlos & , 2016. "La política de innovación en América Latina y el Caribe: Nuevos caminos," IDB Publications (Books), Inter-American Development Bank, number 7705, December.
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    1417. Dominic Byrne & Do Won Kwak & Kam Ki Tang & Myra Yazbeck, 2020. "Spillover Effects of Retirement: does health vulnerability matter?," Discussion Papers Series 620, School of Economics, University of Queensland, Australia.
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    1422. Melissa Rubio-Ramos, 2022. "From Plantations to Prisons: The Race Gap in Incarceration After the Abolition of Slavery in the U.S," ECONtribute Discussion Papers Series 195, University of Bonn and University of Cologne, Germany.
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    1483. Akgündüz, Yusuf Emre & Akyol, Pelin & Aydemir, Abdurrahman B. & Demirci, Murat & Kirdar, Murat Güray, 2023. "Maternal Education and Early Child Development: The Roles of Parental Support for Learning, Learning Materials, and Father Characteristics," IZA Discussion Papers 16328, Institute of Labor Economics (IZA).
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    44. Brennan Mange & David C. Phillips, 2016. "Career Interruption and Productivity: Evidence from Major League Baseball during the Vietnam War Era," Journal of Human Capital, University of Chicago Press, vol. 10(2), pages 159-185.
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    46. Marcus, Jan, 2022. "The Length of Schooling and the Timing of Family Formation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 68(1), pages 1-45.
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    48. Albæk, Karsten & Leth-Petersen, Søren & le Maire, Daniel & Tranæs, Torben, 2013. "Does Peacetime Military Service Affect Crime?," IZA Discussion Papers 7528, Institute of Labor Economics (IZA).
    49. Morten I. Lau & Panu Poutvaara & Andreas Wagener, 2004. "Dynamic Costs of the Draft," German Economic Review, Verein für Socialpolitik, vol. 5(4), pages 381-406, November.
    50. Eder, Christoph & Halla, Martin & Hilmbauer-Hofmarcher, Philipp, 2024. "The Long-Term Effects of Military Occupations: Evidence from Post-World War II Austria," Department of Economics Working Paper Series 366, WU Vienna University of Economics and Business.
    51. Grönqvist, Erik & Lindqvist, Erik, 2015. "The Making of a Manager: Evidence from Military Officer Training," Working Paper Series 1069, Research Institute of Industrial Economics.
    52. Hwee Ling Lim, 2018. "Perceptions of Emirati Youths on National Service at Initial Implementation Stage," SAGE Open, , vol. 8(2), pages 21582440187, May.
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    54. Lyk-Jensen, Stéphanie Vincent, 2018. "Does peacetime military service affect crime? New evidence from Denmark’s conscription lotteries," Labour Economics, Elsevier, vol. 52(C), pages 245-262.
    55. Katarina Keller & Panu Poutvaara & Andreas Wagener, 2009. "Military Draft And Economic Growth In Oecd Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(5), pages 373-393, October.
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    58. Cook, Thomas D., 2008. ""Waiting for Life to Arrive": A history of the regression-discontinuity design in Psychology, Statistics and Economics," Journal of Econometrics, Elsevier, vol. 142(2), pages 636-654, February.
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    60. Peter Siminski & Simon Ville & Alexander Paull, 2013. "Does the Military Train Men to be Violent Criminals? New Evidence from Australia’s Conscription Lotteries," Economics Working Papers wp13-01, School of Economics, University of Wollongong, NSW, Australia.
    61. Young-Min Ju & Myoung-Jae Lee, 2017. "Control Function Approach for Partly Ordered Endogenous Treatments: Military Rank Premium in Wage," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1176-1194, December.
    62. Poutvaara, Panu & Wagener, Andreas, . "The political economy of conscription," Chapters in Economics,, University of Munich, Department of Economics.
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    74. Steve Van de Weijer & Rinke De Jong & Catrien Bijleveld & Arjan Blokland & Adrian Raine, 2017. "The Role of Heart Rate Levels in the Intergenerational Transmission of Crime," Societies, MDPI, vol. 7(3), pages 1-14, September.
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    Cited by:

    1. Todd Stinebrickner & Ralph Stinebrickner, 2001. "Working During School and Academic Performance," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20011, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    2. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    3. John Bound & David A. Jaeger, 1996. "On the Validity of Season of Birth as an Instrument in Wage Equations: A Comment on Angrist & Krueger's "Does Compulsory School Attendance Affect Scho," NBER Working Papers 5835, National Bureau of Economic Research, Inc.
    4. Emla Fitzsimons & Bansi Malde, 2014. "Empirically probing the quantity–quality model," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(1), pages 33-68, January.
    5. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
    6. Pettersson Lidbom, Per, 2003. "Does the Size of the Legislature Affect the Size of Government? Evidence from a Natural Experiment," Research Papers in Economics 2003:18, Stockholm University, Department of Economics.
    7. Bhalotra, Sonia R. & Clarke, Damian & Walther, Selma, 2022. "Women's Careers and Family Formation," IZA Discussion Papers 15639, Institute of Labor Economics (IZA).
    8. Thomas Lemieux & David Card, 2001. "Education, earnings, and the ‘Canadian G.I. Bill’," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(2), pages 313-344, May.
    9. Martin Nordin & Dan-Olof Rooth, 2007. "The Income Gap Between Natives and Second Generation Immigrants in Sweden: Is Skill the Explanation?," RF Berlin - CReAM Discussion Paper Series 0706, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    10. Angrist, Joshua & Lavy, Victor & Schlosser, Analia, 2010. "Multiple Experiments for the Causal Link between the Quantity and Quality of Children," Foerder Institute for Economic Research Working Papers 275744, Tel-Aviv University > Foerder Institute for Economic Research.
    11. Giovanni Cerulli, 2012. "Are R&D Subsidies Provided Optimally? Evidence from a Simulated Agency-Firm Stochastic Dynamic Game," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-7.
    12. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    13. Leonardo Bonilla Mejía & Luis Armando Galvis, 2011. "Profesionalización docente y la calidad de la educación escolar en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 154, Banco de la Republica de Colombia.
    14. Patrinos, Harry Anthony & Sakellariou, Chris, 2004. "Schooling and labor market impacts of a natural policy experiment," Policy Research Working Paper Series 3460, The World Bank.
    15. Kevin Denny & Colm Harmon, 2000. "Education policy reform and the return to schooling from instrumental variables," Open Access publications 10197/653, School of Economics, University College Dublin.
    16. Joshua D. Angrist & William N. Evans, 1996. "Schooling and Labor Market Consequences of the 1970 State Abortion Reforms," NBER Working Papers 5406, National Bureau of Economic Research, Inc.
    17. M. C. Navarro-Perez & J. M. Serrano-Sanz, 2002. "Evaluating Educational Output: An Estimation Method Based on Cross-Section Data," Education Economics, Taylor & Francis Journals, vol. 10(1), pages 71-95.
    18. Joshua D. Angrist & Òscar Jordà & Guido Kuersteiner, 2013. "Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited," NBER Working Papers 19355, National Bureau of Economic Research, Inc.
    19. Julie Moschion, 2013. "The Impact of Fertility on Mothers' Labour Supply in Australia: Evidence from Exogenous Variation in Family Size," The Economic Record, The Economic Society of Australia, vol. 89(286), pages 319-338, September.
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    21. Løken, Katrine Vellesen & Mogstad, Magne & Wiswall, Matthew, 2011. "What Linear Estimators Miss: The E ects of Family Income on Child Outcomes," Working Papers in Economics 02/11, University of Bergen, Department of Economics.
    22. Dynarski, Susan, 2001. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," Working Paper Series rwp01-034, Harvard University, John F. Kennedy School of Government.
    23. Anna Piil Damm, 2006. "Ethnic Enclaves and Immigrant Labour Market Outcomes: Quasi-Experimental Evidence," RF Berlin - CReAM Discussion Paper Series 0607, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    24. Angrist, Josh & Lavy, Victor & Schlosser, Analia, 2006. "New Evidence on the Causal Link between the Quantity and Quality of Children," CEPR Discussion Papers 5668, C.E.P.R. Discussion Papers.
    25. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    26. Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
    27. Maluccio, John A., 1998. "Endogeneity of schooling in the wage function," FCND discussion papers 54, International Food Policy Research Institute (IFPRI).
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    29. Janet Audrain-McGovern & Steven Lehrer & J. Niles Rosenquist, 2006. "The Impact Of Poor Health On Education: New Evidence Using Genetic Markers," Working Paper 1045, Economics Department, Queen's University.
    30. Cuong, Nguyen Viet & Mont, Daniel, 2011. "Does parental disability matter to child education ? evidence from Vietnam," Policy Research Working Paper Series 5743, The World Bank.
    31. Joshua Angrist, 2005. "Instrumental Variables Methods in Experimental Criminological Research: What, Why, and How?," NBER Technical Working Papers 0314, National Bureau of Economic Research, Inc.
    32. Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens, 1995. "Non-Parametric Demand Analysis with an Application to the Demand for Fish," NBER Technical Working Papers 0178, National Bureau of Economic Research, Inc.
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    37. Esther Duflo, 2000. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," NBER Working Papers 7860, National Bureau of Economic Research, Inc.
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    39. Bennmarker, Helge & Grönqvist, Erik & Öckert, Björn, 2009. "Effects of outsourcing employment services: evidence from a randomized experiment," Working Paper Series 2009:23, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    40. Giovanni Cerulli, 2010. "A responsiveness-based (composite) indicator with an application to countries’ innovative performance," CERIS Working Paper 201010, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    41. Myoung-Jae Lee, 2004. "Selection correction and sensitivity analysis for ordered treatment effect on count response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 323-337.
    42. Baez, Javier E., 2008. "Does More Mean Better? Sibling Sex Composition and the Link between Family Size and Children’s Quality," IZA Discussion Papers 3472, Institute of Labor Economics (IZA).
    43. Joshua D. Angrist & Victor Lavy, 1997. "Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement," NBER Working Papers 5888, National Bureau of Economic Research, Inc.

  100. Imbens, G. & Lancaster, T., 1992. "Case-Control Studies with Contaminated Controls," Harvard Institute of Economic Research Working Papers 1612, Harvard - Institute of Economic Research.

    Cited by:

    1. Cristina Butucea & Pierre Vandekerkhove, 2014. "Semiparametric Mixtures of Symmetric Distributions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 227-239, March.
    2. Adam M. Kleinbaum & Toby E. Stuart & Michael L. Tushman, 2013. "Discretion Within Constraint: Homophily and Structure in a Formal Organization," Organization Science, INFORMS, vol. 24(5), pages 1316-1336, October.
    3. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    4. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    5. Gill Ward & Trevor Hastie & Simon Barry & Jane Elith & John R. Leathwick, 2009. "Presence-Only Data and the EM Algorithm," Biometrics, The International Biometric Society, vol. 65(2), pages 554-563, June.
    6. Erard, Brian & Langetieg, Patrick & Payne, Mark & Plumley, Alan, 2020. "Ghosts in the Income Tax Machinery," MPRA Paper 100036, University Library of Munich, Germany.
    7. Butler, J. S., 2000. "Efficiency results of MLE and GMM estimation with sampling weights," Journal of Econometrics, Elsevier, vol. 96(1), pages 25-37, May.
    8. Amanda Coston & Edward H. Kennedy, 2022. "The role of the geometric mean in case-control studies," Papers 2207.09016, arXiv.org.
    9. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    10. Erard, Brian, 2017. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A Calibrated Qualitative Response Estimation Approach," MPRA Paper 79927, University Library of Munich, Germany.
    11. Ramalho, Esmeralda A., 2007. "Binary models with misclassification in the variable of interest and nonignorable nonresponse," Economics Letters, Elsevier, vol. 96(1), pages 70-76, July.
    12. Becker, Bo & Cronqvist, Henrik & Fahlenbrach, Rudiger, 2008. "Estimating the Effects of Large Shareholders Using a Geographic Instrument," Working Paper Series 2008-9, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    13. Wenkai Li & Yuanchi Liu & Ziyue Liu & Zhen Gao & Huabing Huang & Weijun Huang, 2022. "A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling," Land, MDPI, vol. 11(11), pages 1-17, November.
    14. Carvalho, Leandro & Soares, Rodrigo R., 2013. "Living on the Edge: Youth Entry, Career and Exit in Drug-Selling Gangs," IZA Discussion Papers 7189, Institute of Labor Economics (IZA).
    15. Ashton, John & Burnett, Tim & Diaz-Rainey, Ivan & Ormosi, Peter, 2021. "Known unknowns: How much financial misconduct is detected and deterred?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    16. Caponi, Vincenzo & Plesca, Miana, 2013. "Empirical Characteristics of Legal and Illegal Immigrants in the U.S," IZA Discussion Papers 7304, Institute of Labor Economics (IZA).
    17. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Bruce Meyer & Nikolas Mittag, 2014. "Misclassification in Binary Choice Models," NBER Working Papers 20509, National Bureau of Economic Research, Inc.
    19. Jing Qin & Denis H. Y. Leung, 2004. "A Semi-parametric Two-component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions," Working Papers 17-2004, Singapore Management University, School of Economics.
    20. Małgorzata Łazęcka & Jan Mielniczuk & Paweł Teisseyre, 2021. "Estimating the class prior for positive and unlabelled data via logistic regression," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(4), pages 1039-1068, December.
    21. Yang Ning & Yong Chen, 2015. "A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(2), pages 504-517, June.
    22. John Ashton & Tim Burnett & Ivan Diaz Rainey & Peter L. Ormosi, 2018. "Has the financial regulatory environment improved in the UK? Capture-Recapture approach to estimate detection and deterrence," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2018-03, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    23. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    24. Lancaster, Tony, 1997. "Bayes WESML Posterior inference from choice-based samples," Journal of Econometrics, Elsevier, vol. 79(2), pages 291-303, August.
    25. Erard Brian, 2022. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 35-53, January.
    26. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    27. Jing Cheng & Jing Qin & Biao Zhang, 2009. "Semiparametric estimation and inference for distributional and general treatment effects," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(4), pages 881-904, September.
    28. Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Lee, Kangbok & Joo, Sunghoon & Baik, Hyeoncheol & Han, Sumin & In, Joonhwan, 2020. "Unbalanced data, type II error, and nonlinearity in predicting M&A failure," Journal of Business Research, Elsevier, vol. 109(C), pages 271-287.
    30. Robert M. Dorazio, 2012. "Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors," Biometrics, The International Biometric Society, vol. 68(4), pages 1303-1312, December.
    31. Jing Qin & Kung-Yee Liang, 2011. "Hypothesis Testing in a Mixture Case–Control Model," Biometrics, The International Biometric Society, vol. 67(1), pages 182-193, March.
    32. Shi Chang & Rohan Singh Wilkho & Nasir Gharaibeh & Garett Sansom & Michelle Meyer & Francisco Olivera & Lei Zou, 2023. "Environmental, climatic, and situational factors influencing the probability of fatality or injury occurrence in flash flooding: a rare event logistic regression predictive model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3957-3978, April.
    33. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    34. Jing Qin & Denis H. Y. Leung, 2005. "A Semiparametric Two-Component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions," Biometrics, The International Biometric Society, vol. 61(2), pages 456-464, June.

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    Cited by:

    1. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    2. Adam M. Kleinbaum & Toby E. Stuart & Michael L. Tushman, 2013. "Discretion Within Constraint: Homophily and Structure in a Formal Organization," Organization Science, INFORMS, vol. 24(5), pages 1316-1336, October.
    3. Robert Rosenman & Scott Goates & Laura Hill, 2012. "Participation in universal prevention programmes," Applied Economics, Taylor & Francis Journals, vol. 44(2), pages 219-228, January.
    4. Guoxiang Ding & Morton E O'Kelly, 2008. "Choice-Based Estimation of Alonso's Theory of Movement: Methods and Experiments," Environment and Planning A, , vol. 40(5), pages 1076-1089, May.
    5. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    6. Robert M. de Jong & Tiemen Woutersen, 2007. "Dynamic time series binary choice," Economics Working Paper Archive 538, The Johns Hopkins University,Department of Economics.
    7. Lucas Girard & Yannick Guyonvarch, 2024. "Bridging Methodologies: Angrist and Imbens' Contributions to Causal Identification," Papers 2402.13023, arXiv.org.
    8. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    9. Abay, Kibrom A. & Abay, Mehari Hiluf & Berhane, Guush & Chamberlin, Jordan, 2021. "Social protection and resilience: The case of the productive safety net program in Ethiopia," IFPRI discussion papers 2086, International Food Policy Research Institute (IFPRI).
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    71. Ichino, Andrea & Polo, Michele & Rettore, Enrico, 2003. "Are judges biased by labor market conditions?," European Economic Review, Elsevier, vol. 47(5), pages 913-944, October.
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    74. Yves G. Berger, 2020. "An empirical likelihood approach under cluster sampling with missing observations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 91-121, February.
    75. Rajeev K. Goel & Ummad Mazhar & Rati Ram, 2022. "Dimensions of size and corruption perceptions versus corruption experiences by firms in emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 374-396, April.
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    77. Machado, Matilde & Carro, Jesus & Mora, Ricardo, 2014. "Transmission of preferences and beliefs about female labor market participation: direct evidence on the role of mothers," CEPR Discussion Papers 10218, C.E.P.R. Discussion Papers.
    78. Xiao, Wei, 2008. "The Competitive and Welfare Effects of New Product Introduction: The Case of Crystal Pepsi," Research Reports 149938, University of Connecticut, Food Marketing Policy Center.
    79. Denis Heng Yan Leung & Ken Yamada & Biao Zhang, 2015. "Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 155-179, March.
    80. Laura Liu & Mikkel Plagborg-M?ller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," CAEPR Working Papers 2021-001 Classification- , Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    81. Paul J. Devereux & Gautam Tripathi, 2008. "Optimally combining censored and uncensored datasets," Working Papers 200820, School of Economics, University College Dublin.
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    84. Dardanoni, V.; & Laudicella, M.; & Li Donni, P.;, 2018. "Hospital Choice in the NHS," Health, Econometrics and Data Group (HEDG) Working Papers 18/04, HEDG, c/o Department of Economics, University of York.
    85. Yves G. Berger, 2023. "Unconditional empirical likelihood approach for analytic use of public survey data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 383-410, March.
    86. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
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    91. V. Smith & Subhrendu Pattanayak, 2002. "Is Meta-Analysis a Noah's Ark for Non-Market Valuation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 271-296, June.
    92. Geyer, Judy, 2017. "Housing demand and neighborhood choice with housing vouchers," Journal of Urban Economics, Elsevier, vol. 99(C), pages 48-61.
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  103. Angrist, J.D. & Imbens, G.W., 1991. "Sources of Identifying Information in Evaluation Models," Harvard Institute of Economic Research Working Papers 1568, Harvard - Institute of Economic Research.

    Cited by:

    1. Ruth Miquel, 2002. "Identification of Dynamic Treatment Effects by Instrumental Variables," University of St. Gallen Department of Economics working paper series 2002 2002-11, Department of Economics, University of St. Gallen.
    2. Erich Battistin & Enrico Rettore, 2002. "Testing for programme effects in a regression discontinuity design with imperfect compliance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 39-57, February.
    3. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    4. Pettersson Lidbom, Per, 2003. "Does the Size of the Legislature Affect the Size of Government? Evidence from a Natural Experiment," Research Papers in Economics 2003:18, Stockholm University, Department of Economics.
    5. Erich Battistin & Enrico Rettore, 2003. "Another look at the regression discontinuity design," CeMMAP working papers 01/03, Institute for Fiscal Studies.
    6. Pettersson-Lidbom, Per, 2004. "Does the Size of the Legislature Affect the Size of Government? Evidence from Two Natural Experiments," Discussion Papers 350, VATT Institute for Economic Research.
    7. Hidehiko Ichimura & Christopher Taber, 2000. "Direct estimation of policy impacts," IFS Working Papers W00/05, Institute for Fiscal Studies.
    8. Thomas J. Kane & Cecilia E. Rouse, 1993. "Labor Market Returns to Two- and Four-Year Colleges: Is a Credit a Credit and Do Degrees Matter?," NBER Working Papers 4268, National Bureau of Economic Research, Inc.
    9. Manning, Alan, 2004. "Instrumental variables for binary treatments with heterogeneous treatment effects: a simple exposition," LSE Research Online Documents on Economics 19983, London School of Economics and Political Science, LSE Library.
    10. James J. Heckman, 1995. "Randomization as an Instrumental Variable," NBER Technical Working Papers 0184, National Bureau of Economic Research, Inc.
    11. Cockx, Bart, 2003. "Vocational Training of Unemployed Workers in Belgium," IZA Discussion Papers 682, Institute of Labor Economics (IZA).
    12. Bart Cockx & Isabelle Bardoulat, 2000. "Vocational Training: Does it speed up the Transition Rate out of Unemployment?," Tinbergen Institute Discussion Papers 00-016/3, Tinbergen Institute.
    13. V. Joseph Hotz & Seth G. Sanders & Susan Williams McElroy, 1999. "Teenage Childbearing and Its Life Cycle Consequences: Exploiting a Natural Experiment," NBER Working Papers 7397, National Bureau of Economic Research, Inc.
    14. Clint Harris, 2022. "Interpreting Instrumental Variable Estimands with Unobserved Treatment Heterogeneity: The Effects of College Education," Papers 2211.13132, arXiv.org.
    15. Raffaello Bronzini & Guido de Blasio & Guido Pellegrini & Alessandro Scognamiglio, 2008. "The effect of investment tax credit: Evidence from an atypical programme in Italy," Temi di discussione (Economic working papers) 661, Bank of Italy, Economic Research and International Relations Area.
    16. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
    17. Krahnen, Jan-Pieter & Brunner, Antje, 2004. "Multiple Lenders and Corporate Distress: Evidence on Debt Restructuring," CEPR Discussion Papers 4287, C.E.P.R. Discussion Papers.
    18. Angrist, Joshua & Lavy, Victor, 2004. "The Effect of High Stakes High School Achievement Awards: Evidence from a School-Centered Randomized Trial," IZA Discussion Papers 1146, Institute of Labor Economics (IZA).
    19. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    20. Heckman, J. & Smith, J. & Taber, C., 1994. "Accounting for Dropouts in Evaluations of Social Experiments," University of Chicago - Economics Research Center 94-3, Chicago - Economics Research Center.
    21. Alan Manning, 2004. "Instrumental Variables for Binary Treatments with Heterogeneous Treatment Effects: A Simple Exposition," CEP Discussion Papers dp0619, Centre for Economic Performance, LSE.
    22. Wilbert Van Der Klaauw, 2008. "Regression–Discontinuity Analysis: A Survey of Recent Developments in Economics," LABOUR, CEIS, vol. 22(2), pages 219-245, June.
    23. Battistin, Erich & Rettore, Enrico, 2008. "Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs," Journal of Econometrics, Elsevier, vol. 142(2), pages 715-730, February.
    24. Duo Qin & Yanqun Zhang, 2013. "A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators," Working Papers 183, Department of Economics, SOAS University of London, UK.
    25. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    26. Bampasidou, Maria & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2011. "Unbundling the Degree Effect in a Job Training Program for Disadvantaged Youth," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103619, Agricultural and Applied Economics Association.
    27. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

  104. Angrist, J.D. & Imbens, G.W., 1991. "Sources of identifying information in evaluation models," Other publications TiSEM cc3993d0-e59d-408d-9ba0-4, Tilburg University, School of Economics and Management.

    Cited by:

    1. Ruth Miquel, 2002. "Identification of Dynamic Treatment Effects by Instrumental Variables," University of St. Gallen Department of Economics working paper series 2002 2002-11, Department of Economics, University of St. Gallen.
    2. Erich Battistin & Enrico Rettore, 2002. "Testing for programme effects in a regression discontinuity design with imperfect compliance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 39-57, February.
    3. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    4. Pettersson Lidbom, Per, 2003. "Does the Size of the Legislature Affect the Size of Government? Evidence from a Natural Experiment," Research Papers in Economics 2003:18, Stockholm University, Department of Economics.
    5. Erich Battistin & Enrico Rettore, 2003. "Another look at the regression discontinuity design," CeMMAP working papers 01/03, Institute for Fiscal Studies.
    6. Pettersson-Lidbom, Per, 2004. "Does the Size of the Legislature Affect the Size of Government? Evidence from Two Natural Experiments," Discussion Papers 350, VATT Institute for Economic Research.
    7. Hidehiko Ichimura & Christopher Taber, 2000. "Direct estimation of policy impacts," IFS Working Papers W00/05, Institute for Fiscal Studies.
    8. Manning, Alan, 2004. "Instrumental variables for binary treatments with heterogeneous treatment effects: a simple exposition," LSE Research Online Documents on Economics 19983, London School of Economics and Political Science, LSE Library.
    9. Cockx, Bart, 2003. "Vocational Training of Unemployed Workers in Belgium," IZA Discussion Papers 682, Institute of Labor Economics (IZA).
    10. Bart Cockx & Isabelle Bardoulat, 2000. "Vocational Training: Does it speed up the Transition Rate out of Unemployment?," Tinbergen Institute Discussion Papers 00-016/3, Tinbergen Institute.
    11. V. Joseph Hotz & Seth G. Sanders & Susan Williams McElroy, 1999. "Teenage Childbearing and Its Life Cycle Consequences: Exploiting a Natural Experiment," NBER Working Papers 7397, National Bureau of Economic Research, Inc.
    12. Raffaello Bronzini & Guido de Blasio & Guido Pellegrini & Alessandro Scognamiglio, 2008. "The effect of investment tax credit: Evidence from an atypical programme in Italy," Temi di discussione (Economic working papers) 661, Bank of Italy, Economic Research and International Relations Area.
    13. Yusuke Narita, 2018. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Cowles Foundation Discussion Papers 2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
    14. Krahnen, Jan-Pieter & Brunner, Antje, 2004. "Multiple Lenders and Corporate Distress: Evidence on Debt Restructuring," CEPR Discussion Papers 4287, C.E.P.R. Discussion Papers.
    15. Angrist, Joshua & Lavy, Victor, 2004. "The Effect of High Stakes High School Achievement Awards: Evidence from a School-Centered Randomized Trial," IZA Discussion Papers 1146, Institute of Labor Economics (IZA).
    16. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R. & Pendyala, Ram M., 2023. "On modeling future workplace location decisions: An analysis of Texas employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    17. Heckman, J. & Smith, J. & Taber, C., 1994. "Accounting for Dropouts in Evaluations of Social Experiments," University of Chicago - Economics Research Center 94-3, Chicago - Economics Research Center.
    18. Alan Manning, 2004. "Instrumental Variables for Binary Treatments with Heterogeneous Treatment Effects: A Simple Exposition," CEP Discussion Papers dp0619, Centre for Economic Performance, LSE.
    19. Wilbert Van Der Klaauw, 2008. "Regression–Discontinuity Analysis: A Survey of Recent Developments in Economics," LABOUR, CEIS, vol. 22(2), pages 219-245, June.
    20. Battistin, Erich & Rettore, Enrico, 2008. "Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs," Journal of Econometrics, Elsevier, vol. 142(2), pages 715-730, February.
    21. Duo Qin & Yanqun Zhang, 2013. "A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators," Working Papers 183, Department of Economics, SOAS University of London, UK.
    22. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    23. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

  105. Imbens, G. & Lancaster, T., 1991. "Efficient Estimation And Stratified Sampling," Harvard Institute of Economic Research Working Papers 1545, Harvard - Institute of Economic Research.

    Cited by:

    1. van den Berg, Gerard J. & Vikström, Johan, 2009. "Monitoring job offer decisions, punishments, exit to work, and job quality," Working Paper Series 2009:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Magee, L. & Robb, A. L. & Burbidge, J. B., 1998. "On the use of sampling weights when estimating regression models with survey data," Journal of Econometrics, Elsevier, vol. 84(2), pages 251-271, June.
    3. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    4. Masahiro Kato & Masatoshi Uehara & Shota Yasui, 2020. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift," Papers 2002.11642, arXiv.org, revised Oct 2020.
    5. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    6. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    7. Imbens, G. & Lancaster, T., 1993. "Case-Control Studies with Contaminated Controls," Papers 9307, Tilburg - Center for Economic Research.
    8. Amanda Coston & Edward H. Kennedy, 2022. "The role of the geometric mean in case-control studies," Papers 2207.09016, arXiv.org.
    9. Kyungchul Song, 2009. "Efficient Estimation of Average Treatment Effects under Treatment-Based Sampling," PIER Working Paper Archive 09-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
    11. Ramalho, Esmeralda A., 2007. "Binary models with misclassification in the variable of interest and nonignorable nonresponse," Economics Letters, Elsevier, vol. 96(1), pages 70-76, July.
    12. Tripathi, Gautam, 2011. "Generalized method of moments (GMM) based inference with stratified samples when the aggregate shares are known," Journal of Econometrics, Elsevier, vol. 165(2), pages 258-265.
    13. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," NBER Technical Working Papers 0220, National Bureau of Economic Research, Inc.
    14. Ramalho, Esmeralda A., 2002. "Regression models for choice-based samples with misclassification in the response variable," Journal of Econometrics, Elsevier, vol. 106(1), pages 171-201, January.
    15. Giertz, Seth, 2006. "The Elasticity of Taxable Income During the 1990s: A Sensitivity Analysis," MPRA Paper 17603, University Library of Munich, Germany.
    16. Gil S. Epstein & Astrid Kunze & Melanie E. Ward, 2009. "High‐Skilled Migration And The Exertion Of Effort By The Local Population," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(3), pages 332-352, July.
    17. Giertz, Seth, 2007. "The Elasticity of Taxable Income over the 1980s and 1990s," MPRA Paper 18313, University Library of Munich, Germany.
    18. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    19. Maalouf, Maher & Trafalis, Theodore B., 2011. "Robust weighted kernel logistic regression in imbalanced and rare events data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 168-183, January.
    20. Adham Alsharkawi & Mohammad Al-Fetyani & Maha Dawas & Heba Saadeh & Musa Alyaman, 2021. "Poverty Classification Using Machine Learning: The Case of Jordan," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    21. Joaquim J.S. Ramalho & Esmeralda Ramalho, 2005. "Bias-corrected Moment-based Estimators for Parametric Models under Endogenous Stratified Sampling," Economics Working Papers 11_2005, University of Évora, Department of Economics (Portugal).
    22. Jasjit Singh & Matt Marx, 2013. "Geographic Constraints on Knowledge Spillovers: Political Borders vs. Spatial Proximity," Management Science, INFORMS, vol. 59(9), pages 2056-2078, September.
    23. Ravi Bapna & Alok Gupta & Gautam Ray & Shweta Singh, 2023. "Single-Sourcing vs. Multisourcing: An Empirical Analysis of Large Information Technology Outsourcing Arrangements," Information Systems Research, INFORMS, vol. 34(3), pages 1109-1130, September.
    24. Seth H. Giertz, 2006. "The Elasticity of Taxable Income During the 1990s: A Sensitivity Analysis: Working Paper 2006-03," Working Papers 17611, Congressional Budget Office.
    25. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Esmeralda Ramalho & Joaquim Ramalho, 2007. "On the weighted maximum likelihood estimator for endogenous stratified samples when the population strata probabilities are unknown," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 171-174.
    27. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    28. William J Carrington & John L Eltinge & Kristin McCue, 2000. "An Economist's Primer on Survey Samples," Working Papers 00-15, Center for Economic Studies, U.S. Census Bureau.
    29. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    30. Jieli Ding & Tsui-Shan Lu & Jianwen Cai & Haibo Zhou, 2017. "Recent progresses in outcome-dependent sampling with failure time data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(1), pages 57-82, January.
    31. Casaburi, Lorenzo & Minerva, G. Alfredo, 2011. "Production in advance versus production to order: The role of downstream spatial clustering and product differentiation," Journal of Urban Economics, Elsevier, vol. 70(1), pages 32-46, July.
    32. Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Seth H. Giertz, 2008. "A Sensitivity Analysis of the Elasticity of Taxable Income: Working Paper 2008-01," Working Papers 19435, Congressional Budget Office.
    34. Springborn, Michael & Romagosa, Christina M. & Keller, Reuben P., 2011. "The value of nonindigenous species risk assessment in international trade," Ecological Economics, Elsevier, vol. 70(11), pages 2145-2153, September.
    35. Hyytinen, Ari & Väänänen, Lotta, 2004. "Could Mr. and Mrs. Capital Market Imperfection Please Step Forward? An Empirical Analysis of Adverse Selection and Moral Hazard in Capital Markets," Discussion Papers 887, The Research Institute of the Finnish Economy.
    36. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    37. Bhattacharya, Debopam, 2005. "Asymptotic inference from multi-stage samples," Journal of Econometrics, Elsevier, vol. 126(1), pages 145-171, May.

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    Cited by:

    1. Thomas Dee, 2012. "School Turnarounds: Evidence from the 2009 Stimulus," NBER Working Papers 17990, National Bureau of Economic Research, Inc.
    2. Marc van der Steeg & Roel van Elk, 2015. "The effect of schooling vouchers on higher education enrollment and completion of teachers: A regression discontinuity analysis," CPB Discussion Paper 305, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Thomas S. Dee & James Wyckoff, 2015. "Incentives, Selection, and Teacher Performance: Evidence from IMPACT," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(2), pages 267-297, March.

Articles

  1. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    See citations under working paper version above.
  2. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    See citations under working paper version above.
  3. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.

    Cited by:

    1. Stephen Njoroge Kamau & Edward Katue Nzinga & Jacob Kimathi, 2025. "Authentic Leadership, Personal Characteristics, and Church Growth in Embu County, Kenya," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 115-127, January.
    2. Wilson-Barthes, M. & Steingrimsson, J. & Lee, Y. & Tran, D.N. & Wachira, J. & Kafu, C. & Pastakia, S.D. & Vedanthan, R. & Said, J.A. & Genberg, B.L. & Galárraga, O., 2024. "Economic outcomes among microfinance group members receiving community-based chronic disease care: Cluster randomized trial evidence from Kenya," Social Science & Medicine, Elsevier, vol. 351(C).
    3. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    4. Duncan J. Mayer & Robert L. Fischer, 2022. "Can a measurement error perspective improve estimation in neighborhood effects research? A hierarchical Bayesian methodology," Social Science Quarterly, Southwestern Social Science Association, vol. 103(5), pages 1260-1272, September.
    5. Heckelei, Thomas & Huettel, Silke & Odening, Martin & Rommel, Jens, 2021. "The replicability crisis and the p-value debate – what are the consequences for the agricultural and food economics community?," Discussion Papers 316369, University of Bonn, Institute for Food and Resource Economics.
    6. Blemings, Benjamin & Zhang, Peilu & Neill, Clinton L., 2023. "Where is the value? The impacts of sow gestation crate laws on pork supply and consumer value perceptions," Food Policy, Elsevier, vol. 117(C).
    7. Jordan Adamson & Lucas Rentschler, 2023. "Criminal justice from a public choice perspective: an introduction to the special issue," Public Choice, Springer, vol. 196(3), pages 223-227, September.
    8. Cantone, Giulio Giacomo, 2023. "The multiversal methodology as a remedy of the replication crisis," MetaArXiv kuhmz, Center for Open Science.
    9. Cull,Robert J. & Foster,Vivien & Jolliffe,Dean Mitchell & Lederman,Daniel & Mare,Davide Salvatore & Veerappan,Malarvizhi, 2023. "Digital Payments and the COVID-19 Shock : The Role of Preexisting Conditions in Banking, Infrastructure, Human Capabilities, and Digital Regulation," Policy Research Working Paper Series 10603, The World Bank.
    10. Clark, Andrew E. & Zhu, Rong, 2023. "Taking Back Control? Quasi-Experimental Evidence on the Impact of Retirement on Locus of Control," IZA Discussion Papers 16704, Institute of Labor Economics (IZA).
    11. Giulio Giacomo Cantone & Venera Tomaselli, 2024. "A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(3), pages 941-964, December.
    12. Dumont, Michel, 2022. "Public support to business research and development in Belgium: fourth evaluation," MPRA Paper 115418, University Library of Munich, Germany.
    13. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2024. "Semiparametric Bayesian Difference-in-Differences," Papers 2412.04605, arXiv.org, revised Dec 2024.
    14. Monica P. Bhatt & Sara B. Heller & Max Kapustin & Marianne Bertrand & Christopher Blattman, 2023. "Predicting and Preventing Gun Violence: An Experimental Evaluation of READI Chicago," NBER Working Papers 30852, National Bureau of Economic Research, Inc.
    15. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Feb 2025.
    16. Xiaoxue Sherry Gao & Glenn W. Harrison & Rusty Tchernis, 2020. "Behavioral Welfare Economics and Risk Preferences: A Bayesian Approach," NBER Working Papers 27685, National Bureau of Economic Research, Inc.
    17. Kopp, Thomas & Nabernegg, Markus, 2022. "Inequality and Environmental Impact – Can the Two Be Reduced Jointly?," Ecological Economics, Elsevier, vol. 201(C).
    18. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
    19. Ghislain B. D. Aihounton & Arne Henningsen, 2023. "Does Organic Farming Jeopardize Food and Nutrition Security?," IFRO Working Paper 2023/02, University of Copenhagen, Department of Food and Resource Economics.
    20. Schaub, Sergei & Pfaff, Alexander & Bonev, Petyo, 2025. "Biodiversity and the Design of Result-based Payments: Evidence from Germany," Economics Working Paper Series 2502, University of St. Gallen, School of Economics and Political Science.
    21. , Hirschauer, 2022. "Some Thoughts About Statistical Inference In The 21st Century," SocArXiv exdfg, Center for Open Science.
    22. Bhatt, Monica & Heller, Sara & Kapustin, Max & Bertrand, Marianne & Blattman, Christopher, 2023. "Predicting and Preventing Gun Violence: An Experimental Evaluation of READI Chicago," SocArXiv dks29_v1, Center for Open Science.
    23. Kopp, Thomas & Nabernegg, Markus & Lange, Steffen, 2023. "The net climate effect of digitalization, differentiating between firms and households," Energy Economics, Elsevier, vol. 126(C).
    24. Seifert, Stefan & Hüttel, Silke & Werwatz, Axel, 2023. "Organic cultivation and farmland prices: Does certification matter?," FORLand Working Papers 28 (2023), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    25. Cantone, Giulio Giacomo, 2023. "The multiversal methodology as a remedy of the replication crisis," MetaArXiv kuhmz_v1, Center for Open Science.
    26. James Herndon, 2023. "P-Hacking Made Easy," Journal of Economics Teaching, Journal of Economics Teaching, vol. 8(3), pages 173-193, October.
    27. Riccardo Di Francesco, 2024. "Aggregation Trees," Papers 2410.11408, arXiv.org.
    28. Aïhounton, Ghislain B.D. & Henningsen, Arne, 2024. "Does organic farming jeopardize food security of farm households in Benin?," Food Policy, Elsevier, vol. 124(C).
    29. Daniel J. Smith, 2023. "Austrian economics as a relevant research program," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 36(4), pages 501-514, December.
    30. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
    31. Costanza Naguib, 2024. "P-hacking and Significance Stars," Diskussionsschriften dp2409, Universitaet Bern, Departement Volkswirtschaft.
    32. Shuai Zhou & Guangqing Chi, 2024. "How do environmental stressors influence migration? A meta-regression analysis of environmental migration literature," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(2), pages 41-100.

  4. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
    See citations under working paper version above.
  5. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    See citations under working paper version above.
  6. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.

    Cited by:

    1. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    2. Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," European Economic Review, Elsevier, vol. 163(C).
    3. Lindo, Jason M. & Swensen, Isaac D. & Waddell, Glen R., 2022. "Effects of violent media content: Evidence from the rise of the UFC," Journal of Health Economics, Elsevier, vol. 83(C).
    4. Bergman, Peter & Kopko, Elizabeth & Rodriguez, Julio, 2021. "Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment," IZA Discussion Papers 14500, Institute of Labor Economics (IZA).
    5. Alberini, Anna & Bezhanishvili, Levan & Ščasný, Milan, 2022. "“Wild” tariff schemes: Evidence from the Republic of Georgia," Energy Economics, Elsevier, vol. 110(C).
    6. Jonathan Roth & Pedro H. C. Sant'Anna, 2021. "Efficient Estimation for Staggered Rollout Designs," Papers 2102.01291, arXiv.org, revised May 2023.
    7. Laura Derksen & Jason T Kerwin & Natalia Ordaz Reynoso & Olivier Sterck, 2025. "Healthcare Appointments as Commitment Devices," The Economic Journal, Royal Economic Society, vol. 135(665), pages 81-118.
    8. Tadao Hoshino & Takahide Yanagi, 2024. "Causal Inference with Noncompliance and Unknown Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(548), pages 2869-2880, October.
    9. Isabel Martinez, 2021. "Beggar-Thy-Neighbour Tax Cuts: Mobility After a Local Income and Wealth Tax Reform in Switzerland," KOF Working papers 21-490, KOF Swiss Economic Institute, ETH Zurich.
    10. Jose Valderrama & Javier Olivera, 2023. "The effects of social pensions on mortality among the extreme poor elderly," LISER Working Paper Series 2023-05, Luxembourg Institute of Socio-Economic Research (LISER).
    11. Praveen Ranjan Srivastava & Prajwal Eachempati & Ajay Kumar & Ashish Kumar Jha & Lalitha Dhamotharan, 2023. "Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework," Annals of Operations Research, Springer, vol. 325(1), pages 319-361, June.
    12. Jinglong Zhao, 2023. "Adaptive Neyman Allocation," Papers 2309.08808, arXiv.org, revised Sep 2023.
    13. Ding, Peng, 2021. "The Frisch–Waugh–Lovell theorem for standard errors," Statistics & Probability Letters, Elsevier, vol. 168(C).
    14. Wu, Christopher, 2022. "Covariate Selection in Exposure Disparity Analysis," SocArXiv 4znu5_v1, Center for Open Science.
    15. Clarke, Damian & Torres, Nicolás Paris & Villena-Roldan, Benjamin, 2023. "(Frisch-Waugh-Lovell)' On the Estimation of Regression Models by Row," IZA Discussion Papers 16630, Institute of Labor Economics (IZA).
    16. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
    17. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    18. Cl'ement de Chaisemartin & Antoine Deeb, 2024. "Estimating treatment-effect heterogeneity across sites, in multi-site randomized experiments with few units per site," Papers 2405.17254, arXiv.org, revised Dec 2024.
    19. Egerod, Benjamin & Hollenbach, Florian M, 2024. "How many is enough? Sample Size in Staggered Difference-in-Differences Designs," OSF Preprints ac5ru_v1, Center for Open Science.
    20. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    21. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," RF Berlin - CReAM Discussion Paper Series 2008, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    22. Peng Ding, 2020. "The Frisch--Waugh--Lovell Theorem for Standard Errors," Papers 2009.06621, arXiv.org.
    23. Ashesh Rambachan & Jonathan Roth, 2020. "Design-Based Uncertainty for Quasi-Experiments," Papers 2008.00602, arXiv.org, revised Oct 2024.
    24. Laura Derksen & Jason Kerwin & Natalia Ordaz Reynoso & Olivier Sterck, 2021. "Appointments: A More Effective Commitment Device for Health Behaviors," Papers 2110.06876, arXiv.org.
    25. Denteh, Augustine & Asare, Samuel & Senadza, Bernardin, 2022. "Is four better than three? The effect of the 4-year high school policy on academic performance in Ghana," SocArXiv jh9q6, Center for Open Science.
    26. Ozler,Berk & Celik,Cigdem & Cunningham,Scott & Cuevas,Pablo Facundo & Parisotto,Luca, 2020. "Children on the Move : Progressive Redistribution of Humanitarian Cash Transfers among Refugees," Policy Research Working Paper Series 9471, The World Bank.
    27. Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
    28. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    29. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    30. Ravichandran Arun & Pashley Nicole E. & Libgober Brian & Dasgupta Tirthankar, 2024. "Optimal allocation of sample size for randomization-based inference from 2K factorial designs," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-18, January.
    31. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
    32. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    33. Galvez, Julio & Gambacorta, Leonardo & Mayordomo, Sergio & Serena, Jose Maria, 2021. "Dollar borrowing, firm credit risk, and FX-hedged funding opportunities," Journal of Corporate Finance, Elsevier, vol. 68(C).
    34. Johannes Wimmer & Leonhard Vollmer, 2023. "Can Grassroots Organizations Reduce Support for Right-Wing Populism via Social Media?," Rationality and Competition Discussion Paper Series 390, CRC TRR 190 Rationality and Competition.
    35. Matthias Sutter & Michael Weyland & Anna Untertrifaller & Manuel Froitzheim & Sebastian O. Schneider, 2020. "Financial literacy, risk and time preferences – Results from a randomized educational intervention," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2023_03, Max Planck Institute for Research on Collective Goods.
    36. Magirr, Dominic & Wang, Craig & Przybylski, Alexander & Baillie, Mark, 2024. "Estimating the variance of covariate-adjusted estimators of average treatment effects in clinical trials with binary endpoints," OSF Preprints k56v8_v1, Center for Open Science.
    37. Ruonan Xu & Jeffrey M. Wooldridge, 2022. "A Design-Based Approach to Spatial Correlation," Papers 2211.14354, arXiv.org.
    38. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    39. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2021. "COVID-19 and Local Market Power in Credit Markets," Working Papers Series 558, Central Bank of Brazil, Research Department.
    40. Derksen, Laura & Kerwin, Jason Theodore & Reynoso, Natalia Ordaz & Sterck, Olivier, 2021. "Appointments: A More Effective Commitment Device for Health Behaviors," SocArXiv y8gh7_v1, Center for Open Science.
    41. Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," LSE Research Online Documents on Economics 120933, London School of Economics and Political Science, LSE Library.
    42. Aaron Adalja & Erik Lichtenberg & Elina T. Page, 2023. "Collective investment in a common pool resource: Grower associations and food safety guidelines," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 144-173, January.
    43. Mohamed Abouaziza, 2022. "Farmer constraints and relational contracts: evidence from agricultural value chains in East Africa," Economics PhD Theses 0122, Department of Economics, University of Sussex Business School.
    44. Ganesh Karapakula & James J. Heckman, 2020. "Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments," NBER Working Papers 27738, National Bureau of Economic Research, Inc.
    45. Boone, Claire E & Celhay, Pablo & Gertler, Paul & Gracner, Tadeja & Rodriguez, Josefina, 2022. "How scheduling systems with automated appointment reminders improve health clinic efficiency," Journal of Health Economics, Elsevier, vol. 82(C).
    46. Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
    47. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    48. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
    49. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.
    50. Denteh, Augustine & Asare, Samuel & Senadza, Bernardin, 2022. "Is four better than three? The effect of the 4-year high school policy on academic performance in Ghana," SocArXiv jh9q6_v1, Center for Open Science.
    51. Ying Jin & Dominik Rothenhäusler, 2024. "Tailored inference for finite populations: conditional validity and transfer across distributions," Biometrika, Biometrika Trust, vol. 111(1), pages 215-233.
    52. Griffith, Alan & Noonen, Thomas, 2022. "The effects of public campaign funding: Evidence from Seattle’s Democracy Voucher program," Journal of Public Economics, Elsevier, vol. 211(C).
    53. Smith, Christian Michael & Hirschl, Noah, 2022. "Mixed Signals? Economically (Dis)advantaged Students’ College Attendance under Mandatory College and Career Readiness Assessments," SocArXiv fxgvb_v1, Center for Open Science.
    54. Fidjeland, Andreas & Rege, Mari & Solli, Ingeborg F. & Størksen, Ingunn, 2023. "Reducing the gender gap in early learning: Evidence from a field experiment in Norwegian preschools," European Economic Review, Elsevier, vol. 154(C).
    55. Jiafeng Chen, 2024. "Potential weights and implicit causal designs in linear regression," Papers 2407.21119, arXiv.org, revised Jan 2025.
    56. Sam Sims & Jake Anders & Matthew Inglis & Hugues Lortie-Forgues & Ben Styles & Ben Weidmann, 2023. "Experimental education research: rethinking why, how and when to use random assignment," CEPEO Working Paper Series 23-07, UCL Centre for Education Policy and Equalising Opportunities, revised Aug 2023.
    57. Lewis, Gabriel, 2022. "Heteroskedasticity and Clustered Covariances from a Bayesian Perspective," MPRA Paper 116662, University Library of Munich, Germany.
    58. Matthias Sutter & Michael Weyland & Anna Untertrifaller & Manuel Froitzheim & Sebastian O. Schneider, 2023. "Financial Literacy, Experimental Preference Measures and Field Behavior – A Randomized Educational Intervention," ECONtribute Discussion Papers Series 229, University of Bonn and University of Cologne, Germany.
    59. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2022. "The role of non-critical business and telework propensity in international stock markets during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    60. Emily Breza & Arun G. Chandrasekhar & Davide Viviano, 2025. "Generalizability with ignorance in mind: learning what we do (not) know for archetypes discovery," Papers 2501.13355, arXiv.org.
    61. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    62. Fabio Santeramo & Dela-Dem Fiankor, 2023. "Revisiting the impact of per-unit duties on agricultural export prices," RSCAS Working Papers 2023/29, European University Institute.
    63. Silva, Thiago Christiano & de Souza, Sergio Rubens Stancato & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2023. "COVID-19 and bank branch lending: The moderating effect of digitalization," Journal of Banking & Finance, Elsevier, vol. 152(C).
    64. Startz, Richard & Steigerwald, Douglas G., 2024. "The variance of regression coefficients when the population is finite," Journal of Econometrics, Elsevier, vol. 240(1).
    65. Melvin Vooren & Carla Haelermans & Wim Groot & Henriette Maassen van den Brink, 2022. "Make IT Work: The Labor Market Effects of Information Technology Retraining in the Netherlands," De Economist, Springer, vol. 170(3), pages 323-342, August.
    66. George Gui & Harikesh Nair & Fengshi Niu, 2021. "Auction Throttling and Causal Inference of Online Advertising Effects," Papers 2112.15155, arXiv.org, revised Feb 2022.
    67. Kafle, Kashi & Songsermsawas, Tisorn & Winters, Paul, 2021. "Decomposing the impacts of an agricultural value chain investment by gender and ethnicity: The case of Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 313941, Agricultural and Applied Economics Association.
    68. Martínez, Isabel Z., 2022. "Mobility Responses to the Establishment of a Residential Tax Haven: Evidence From Switzerland," CEPR Discussion Papers 16627, C.E.P.R. Discussion Papers.
    69. Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.
    70. Taskin, Ahmet Ali & Yaman, Firat, 2023. "The effect of branching deregulation on finance wage premium," FAU Discussion Papers in Economics 08/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    71. Wu, Christopher, 2022. "Should We Trust Regression to Measure Social Disparities?," SocArXiv 4znu5, Center for Open Science.
    72. Johannes W. Ligtenberg & Tiemen Woutersen, 2024. "Multidimensional clustering in judge designs," Papers 2406.09473, arXiv.org.
    73. Ethan Kaplan & Jörg L. Spenkuch & Cody Tuttle, 2025. "A Different World: Enduring Effects of School Desegregation on Ideology and Attitudes," CESifo Working Paper Series 11625, CESifo.
    74. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    75. Bellocca, Gian Pietro Enzo & Poncela Blanco, Maria Pilar, 2024. "Extreme temperatures and the profitability of large European firms," DES - Working Papers. Statistics and Econometrics. WS 44217, Universidad Carlos III de Madrid. Departamento de Estadística.
    76. Aurélia Buchs & Nils Soguel, 2022. "Fiscal performance and the re-election of finance ministers–evidence from the Swiss cantons," Public Choice, Springer, vol. 191(1), pages 31-49, April.
    77. Justin Contat & William M. Doerner & Robert N. Renner & Malcolm J. Rogers, 2024. "Measuring Price Effects from Disasters using Public Data: A Case Study of Hurricane Ian," FHFA Staff Working Papers 24-04, Federal Housing Finance Agency.
    78. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    79. Mari, Gabriele & Keizer, Renske & van Gaalen, Ruben, 2022. "The Timing of Parental Unemployment, Insurance, and Children's Education," SocArXiv 7rm6g, Center for Open Science.
    80. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    81. Zhang, Ling & Berk Saydaliev, Hayot & Ma, Xiaoyu, 2022. "Does green finance investment and technological innovation improve renewable energy efficiency and sustainable development goals," Renewable Energy, Elsevier, vol. 193(C), pages 991-1000.
    82. Pfeifer, Gregor & Stockburger, Mirjam, 2023. "The morning after: Prescription-free access to emergency contraceptive pills," Journal of Health Economics, Elsevier, vol. 91(C).
    83. Noelia Bernal & Javier Olivera & Marc Suhrcke, 2024. "The effects of social pensions on nutrition‐related health outcomes of the poor: Quasi‐experimental evidence from Peru," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 971-991, May.
    84. Kondylis,Florence & Loeser,John Ashton, 2021. "Intervention Size and Persistence," Policy Research Working Paper Series 9769, The World Bank.
    85. Claire E. Boone & Pablo A. Celhay & Paul Gertler & Tadeja Gracner, 2023. "Encouraging Preventative Care to Manage Chronic Disease at Scale," NBER Working Papers 31643, National Bureau of Economic Research, Inc.
    86. Pedro Pita Barros, 2022. "Quality decreases from introducing patient choice in a National Health Service," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 351-381, September.
    87. Hollenbach, Florian M & Egerod, Benjamin, 2024. "How many is enough? Sample Size in Staggered Difference-in-Differences Designs," OSF Preprints ac5ru, Center for Open Science.
    88. Thiago Christiano Silva & Sergio Rubens Stancato de Souza & Solange Maria Guerra, 2022. "Covid-19 and market power in local credit markets: the role of digitalization," BIS Working Papers 1017, Bank for International Settlements.
    89. Mari, Gabriele & Keizer, Renske & van Gaalen, Ruben, 2022. "The Timing of Parental Unemployment, Insurance, and Children's Education," SocArXiv 7rm6g_v1, Center for Open Science.
    90. Thiago Christiano Silva & Carlos Eduardo de Almeida, 2024. "COVID-19 and Supply Chain Disruptions: a novel perspective using a network of payments in Brazil," Working Papers Series 595, Central Bank of Brazil, Research Department.

  7. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2020. "Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 303-316, April.
    See citations under working paper version above.
  8. Marinho Bertanha & Guido W. Imbens, 2020. "External Validity in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 593-612, July.
    See citations under working paper version above.
  9. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    See citations under working paper version above.
  10. Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.

    Cited by:

    1. Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar, 2020. "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," Papers 2010.08463, arXiv.org, revised Nov 2021.
    2. Sophie-Charlotte Klose & Johannes Lederer, 2020. "A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics," Papers 2006.12296, arXiv.org, revised Jun 2020.
    3. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    4. Verhagen, Mark D., 2021. "A Pragmatist's Guide to Using Prediction in the Social Sciences," SocArXiv tjkcy_v1, Center for Open Science.
    5. Felix Chopra & Ingar Haaland & Ingar K. Haaland, 2023. "Conducting Qualitative Interviews with AI," CESifo Working Paper Series 10666, CESifo.
    6. TELLO, Mario D., 2024. "Inversión Pública En Infraestructura Y Crecimiento Regional En Perú, 2005-2020: Un Análisis Basado En Técnicas De Aprendizaje Automático Causal," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 24(2), pages 195-222.
    7. Uguccioni, James, 2022. "The long-run effects of parental unemployment in childhood," CLEF Working Paper Series 45, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    8. Gavoille, Nicolas & Zasova, Anna, 2023. "What we pay in the shadows: Labor tax evasion, minimum wage hike and employment," Journal of Public Economics, Elsevier, vol. 228(C).
    9. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    273. de Blasio, Guido & D'Ignazio, Alessio & Letta, Marco, 2022. "Gotham city. Predicting ‘corrupted’ municipalities with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    274. Lundberg, Ian & Brand, Jennie E. & Jeon, Nanum, 2022. "Researcher reasoning meets computational capacity: Machine learning for social science," SocArXiv s5zc8, Center for Open Science.
    275. Zhu, Jingjing & Huang, Tianyuan, 2024. "Public debt and welfare with machine learning," Finance Research Letters, Elsevier, vol. 69(PA).
    276. Daniel Goller & Andrea Diem & Stefan C. Wolter, 2022. "Sitting next to a dropout: Study success of students with peers that came to the lecture hall by a different route," Economics of Education Working Paper Series 0190, University of Zurich, Department of Business Administration (IBW).
    277. Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
    278. Boot, Arnoud & Hoffmann, Peter & Laeven, Luc & Ratnovski, Lev, 2021. "Fintech: what’s old, what’s new?," Journal of Financial Stability, Elsevier, vol. 53(C).
    279. Taiyo Fukai & Hidehiko Ichimura & Keisuke Kawata, 2021. "Describing the impacts of COVID-19 on the labor market in Japan until June 2020," The Japanese Economic Review, Springer, vol. 72(3), pages 439-470, July.
    280. Su, Jiun-Hua, 2021. "Model selection in utility-maximizing binary prediction," Journal of Econometrics, Elsevier, vol. 223(1), pages 96-124.
    281. Aparajithan Venkateswaran & Jishnu Das & Tyler H. McCormick, 2023. "Feasible contact tracing," Papers 2312.05718, arXiv.org.
    282. Netta Barak‐Corren & Yoav Kan‐Tor & Nelson Tebbe, 2022. "Examining the effects of antidiscrimination laws on children in the foster care and adoption systems," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 1003-1066, December.
    283. Thomas R. Cook & Greg Gupton & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City.
    284. Xie, Wen-Jie & Wei, Na & Zhou, Wei-Xing, 2023. "An interpretable machine-learned model for international oil trade network," Resources Policy, Elsevier, vol. 82(C).
    285. Vasilios Plakandaras & Ioannis Pragidis & Paris Karypidis, 2024. "Deciphering the U.S. metropolitan house price dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(2), pages 434-485, March.
    286. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
    287. Hiroyuki Egami & Md. Shafiur Rahman & Tsuyoshi Yamamoto & Chihiro Egami & Takahisa Wakabayashi, 2024. "Causal effect of video gaming on mental well-being in Japan 2020–2022," Nature Human Behaviour, Nature, vol. 8(10), pages 1943-1956, October.
    288. Andrew J. Patton & Yasin Simsek, 2023. "Generalized Autoregressive Score Trees and Forests," Papers 2305.18991, arXiv.org.
    289. Falco J. Bargagli Stoffi & Kenneth De Beckker & Joana E. Maldonado & Kristof De Witte, 2021. "Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial Literacy," Papers 2102.04382, arXiv.org.
    290. Ajit Desai, 2023. "Machine learning for economics research: when, what and how," Staff Analytical Notes 2023-16, Bank of Canada.
    291. Raval, Devesh & Rosenbaum, Ted & Wilson, Nathan E., 2021. "How do machine learning algorithms perform in predicting hospital choices? evidence from changing environments," Journal of Health Economics, Elsevier, vol. 78(C).
    292. Jianghong Xu & Chenguang Wang & Xukang Yin & Weixin Wang, 2024. "Digital economy and rural household resilience: Evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(5), pages 244-263.
    293. Abhinav Garg & Naman Shukla & Lavanya Marla & Sriram Somanchi, 2021. "Distribution Shift in Airline Customer Behavior during COVID-19," Papers 2111.14938, arXiv.org, revised Dec 2021.
    294. Baaken, Dominik & Hess, Sebastian, 2021. "Forecasting Regional Milk Production Quantity: A Comparison of Regression Models and Machine Learning," 2021 Conference, August 17-31, 2021, Virtual 315117, International Association of Agricultural Economists.
    295. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    296. Nils-Gunnar Birkeland Abrahamsen & Emil Nylén-Forthun & Mats Møller & Petter Eilif de Lange & Morten Risstad, 2024. "Financial Distress Prediction in the Nordics: Early Warnings from Machine Learning Models," JRFM, MDPI, vol. 17(10), pages 1-23, September.
    297. Brown, David P. & Cajueiro, Daniel O. & Eckert, Andrew & Silveira, Douglas, 2023. "Information and Transparency: Using Machine Learning to Detect Communication," Working Papers 2023-6, University of Alberta, Department of Economics.
    298. Tomás Marinozzi & Leandro Nallar & Sergio Pernice, 2021. "Intuitive Mathematical Economics Series. General Equilibrium Models and the Gradient Field Method," CEMA Working Papers: Serie Documentos de Trabajo. 820, Universidad del CEMA.
    299. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2019. "Machine Learning for Forecasting Excess Stock Returns The Five-Year-View," Graz Economics Papers 2019-06, University of Graz, Department of Economics.
    300. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
    301. Matteo Bagnara, 2024. "Asset Pricing and Machine Learning: A critical review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 27-56, February.
    302. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

  11. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Yi Zhang & Eli Ben-Michael & Kosuke Imai, 2022. "Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs," Papers 2208.13323, arXiv.org, revised Sep 2024.
    3. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2021. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Papers 2112.03096, arXiv.org, revised Jan 2023.
    4. Paul Goldsmith-Pinkham & Karen Jiang & Zirui Song & Jacob Wallace, 2022. "Measuring Changes in Disparity Gaps: An Application to Health Insurance," Papers 2201.05672, arXiv.org.
    5. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    6. Atı̇la Abdulkadı̇roğlu & Joshua D. Angrist & Yusuke Narita & Parag Pathak, 2022. "Breaking Ties: Regression Discontinuity Design Meets Market Design," Econometrica, Econometric Society, vol. 90(1), pages 117-151, January.
    7. Myoung-Jae Lee & Hyae-Chong Shim & Sang Soo Park, 2023. "Regression Discontinuity with Integer Score and Non-Integer Cutoff," Korean Economic Review, Korean Economic Association, vol. 39, pages 73-101.
    8. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    9. He, Yang & Bartalotti, Otávio, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," ISU General Staff Papers 202005010700001071, Iowa State University, Department of Economics.
    10. Juan F. Vargas & Miguel E. Purroy & Felipe Coy & Sergio Perilla & Mounu Prem, 2023. "Fear to Vote: Explosions, Salience, and Elections," HiCN Working Papers 398, Households in Conflict Network.
    11. Kohei Yata, 2021. "Optimal Decision Rules Under Partial Identification," Papers 2111.04926, arXiv.org, revised Mar 2025.
    12. Koohyun Kwon & Soonwoo Kwon, 2020. "Inference in Regression Discontinuity Designs under Monotonicity," Papers 2011.14216, arXiv.org.
    13. Yusuke Narita & Kohei Yata, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Working Papers 2021-022, Human Capital and Economic Opportunity Working Group.
    14. Timothy B. Armstrong & Michal Kolesár & Soonwoo Kwon, 2020. "Bias-Aware Inference in Regularized Regression Models," Working Papers 2020-2, Princeton University. Economics Department..
    15. Lihua Lei, 2024. "Causal Interpretation of Regressions With Ranks," Papers 2406.05548, arXiv.org.
    16. Rametta, Jack T., 2024. "Did the Republican Revolution Hamstring Congressional Oversight? Evidence from 55,000 GAO Reports," OSF Preprints 7zk4p, Center for Open Science.
    17. Yiqi Liu & Yuan Qi, 2023. "Using Forests in Multivariate Regression Discontinuity Designs," Papers 2303.11721, arXiv.org, revised Jul 2024.
    18. Kikuta,Kyosuke & Uesugi.Mamoru, 2022. "Do politically irrelevant events cause conflict? the cross-continental effects of European professional football on protests in Africa," IDE Discussion Papers 866, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    19. Kikuta, Kyosuke & Uesugi, Mamoru, 2023. "Do Politically Irrelevant Events Cause Conflict? The Cross-continental Effects of European Professional Football on Protests in Africa," International Organization, Cambridge University Press, vol. 77(1), pages 179-216, January.
    20. Federico Crippa, 2024. "Manipulation Test for Multidimensional RDD," Papers 2402.10836, arXiv.org, revised Jun 2024.
    21. Yingying Dong & Michal Kolesár, 2023. "When can we ignore measurement error in the running variable?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 735-750, August.
    22. Rametta, Jack T., 2024. "Did the Republican Revolution Hamstring Congressional Oversight? Evidence from 55,000 GAO Reports," OSF Preprints 7zk4p_v1, Center for Open Science.
    23. Melser, Daniel & Moallemi, Morteza & Kim, Jun Sung, 2021. "Preferences for single-sex schools: Evidence from the housing market," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 710-726.
    24. Masayuki Sawada & Takuya Ishihara & Daisuke Kurisu & Yasumasa Matsuda, 2024. "Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs," Papers 2402.08941, arXiv.org.
    25. Edmark, Karin & Persson, Lovisa, 2020. "The Impact of Attending an Independent Upper Secondary School: Evidence from Sweden Using School Ranking Data," Working Paper Series 1371, Research Institute of Industrial Economics.
    26. Vargas, Juan F. & Purroy, Miguel E. & Coy, Felipe & Perilla, Sergio & Prem, Mounu, 2022. "Do explosions shape voting behavior?," SocArXiv dw9vn, Center for Open Science.
    27. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    28. Dan M. Kluger & Art B. Owen, 2021. "Kernel regression analysis of tie-breaker designs," Papers 2101.09605, arXiv.org, revised Jan 2023.
    29. Dean Eckles & Nikolaos Ignatiadis & Stefan Wager & Han Wu, 2020. "Noise-Induced Randomization in Regression Discontinuity Designs," Papers 2004.09458, arXiv.org, revised Mar 2025.
    30. Vargas, Juan F. & Purroy, Miguel E. & Coy, Felipe & Perilla, Sergio & Prem, Mounu, 2022. "Fear to Vote: Explosions, Salience, and Elections," SocArXiv dw9vn_v1, Center for Open Science.

  12. Susan Athey & Mohsen Bayati & Guido Imbens & Zhaonan Qu, 2019. "Ensemble Methods for Causal Effects in Panel Data Settings," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 65-70, May.
    See citations under working paper version above.
  13. Susan Athey & Dean Eckles & Guido W. Imbens, 2018. "Exact p-Values for Network Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 230-240, January.
    See citations under working paper version above.
  14. Daniel J. Benjamin & James O. Berger & Magnus Johannesson & Brian A. Nosek & E.-J. Wagenmakers & Richard Berk & Kenneth A. Bollen & Björn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Chr, 2018. "Redefine statistical significance," Nature Human Behaviour, Nature, vol. 2(1), pages 6-10, January.
    • Daniel Benjamin & James Berger & Magnus Johannesson & Brian Nosek & E. Wagenmakers & Richard Berk & Kenneth Bollen & Bjorn Brembs & Lawrence Brown & Colin Camerer & David Cesarini & Christopher Chambe, 2017. "Redefine Statistical Significance," Artefactual Field Experiments 00612, The Field Experiments Website.
    See citations under working paper version above.
  15. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    See citations under working paper version above.
  16. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    See citations under working paper version above.
  17. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    See citations under working paper version above.
  18. Shu Yang & Guido W. Imbens & Zhanglin Cui & Douglas E. Faries & Zbigniew Kadziola, 2016. "Propensity score matching and subclassification in observational studies with multi‐level treatments," Biometrics, The International Biometric Society, vol. 72(4), pages 1055-1065, December.
    See citations under working paper version above.
  19. Alberto Abadie & Guido W. Imbens, 2016. "Matching on the Estimated Propensity Score," Econometrica, Econometric Society, vol. 84, pages 781-807, March.
    See citations under working paper version above.
  20. Guido W. Imbens & Michal Kolesár, 2016. "Robust Standard Errors in Small Samples: Some Practical Advice," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
    See citations under working paper version above.
  21. Susan Athey & Guido Imbens, 2015. "A Measure of Robustness to Misspecification," American Economic Review, American Economic Association, vol. 105(5), pages 476-480, May.

    Cited by:

    1. Peter G. Backus & Nicky L. Grant, 2019. "How sensitive is the average taxpayer to changes in the tax-price of giving?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 317-356, April.
    2. Akash Malhotra, 2018. "A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy," Papers 1806.04517, arXiv.org, revised Aug 2020.
    3. Crespo, Cristian, 2020. "Two become one: improving the targeting of conditional cash transfers with a predictive model of school dropout," LSE Research Online Documents on Economics 123139, London School of Economics and Political Science, LSE Library.
    4. Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz, Center for Open Science.
    5. Anna Dreber & Magnus Johannesson, 2025. "A framework for evaluating reproducibility and replicability in economics," Economic Inquiry, Western Economic Association International, vol. 63(2), pages 338-356, April.
    6. Peter Backus & Maria Cubel & Matej Guid & Santiago Sanchez-Pages & Enrique Lopez Manas, 2016. "Gender, Competition and Performance: Evidence from Real Tournaments," Economics Discussion Paper Series 1605, Economics, The University of Manchester.
    7. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
    8. Christoph Semken & David Rossell, 2022. "Specification analysis for technology use and teenager well‐being: Statistical validity and a Bayesian proposal," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1330-1355, November.
    9. Masahiro Kato & Hikaru Kawarazaki, 2019. "Model Specification Test with Unlabeled Data: Approach from Covariate Shift," Papers 1911.00688, arXiv.org, revised Feb 2020.
    10. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    11. Bremus, Franziska & Kliatskova, Tatsiana, 2020. "Legal harmonization, institutional quality, and countries’ external positions: A sectoral analysis," Journal of International Money and Finance, Elsevier, vol. 107(C).
    12. Semken, Christoph & Rossell, David, 2022. "Specification analysis for technology use and teenager well-being: statistical validity and a Bayesian proposal," OSF Preprints cahyq_v1, Center for Open Science.
    13. Byunghoon Kang, 2017. "Inference in Nonparametric Series Estimation with Data-Dependent Undersmoothing," Working Papers 170712442, Lancaster University Management School, Economics Department.
    14. Zhang, Chi & Managi, Shunsuke, 2020. "Functional social support and maternal stress: A study on the 2017 paid parental leave reform in Japan," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 153-172.
    15. Guido Imbens & Yiqing Xu, 2024. "LaLonde (1986) after Nearly Four Decades: Lessons Learned," Papers 2406.00827, arXiv.org, revised Jun 2024.
    16. Peter Backus & Maria Cubel & Matej Guid & Santiago Sánchez‐Pagés & Enrique López Mañas, 2023. "Gender, competition, and performance: Evidence from chess players," Quantitative Economics, Econometric Society, vol. 14(1), pages 349-380, January.
    17. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    18. Thorsten Sellhorn, 2020. "Machine Learning und empirische Rechnungslegungsforschung: Einige Erkenntnisse und offene Fragen [Machine Learning and Empirical Accounting Research: Some Findings and Open Questions]," Schmalenbach Journal of Business Research, Springer, vol. 72(1), pages 49-69, March.
    19. Jason M. Rathje & Riitta Katila, 2021. "Enabling Technologies and the Role of Private Firms: A Machine Learning Matching Analysis," Strategy Science, INFORMS, vol. 6(1), pages 5-21, March.
    20. Furno, Marilena, 2021. "The synthetic control approach: Multivalued treatments at the quantiles," Research in Economics, Elsevier, vol. 75(1), pages 7-20.

  22. Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens, 2015. "Identification and Inference With Many Invalid Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 474-484, October.
    See citations under working paper version above.
  23. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    See citations under working paper version above.
  24. Alberto Abadie & Guido W. Imbens & Fanyin Zheng, 2014. "Inference for Misspecified Models With Fixed Regressors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1601-1614, December.

    Cited by:

    1. Belloni, Alexandre & Chen, Mingli & Chernozhukov, Victor, 2016. "Quantile Graphical Models : Prediction and Conditional Independence with Applications to Financial Risk Management," Economic Research Papers 269321, University of Warwick - Department of Economics.
    2. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    3. Timothy B. Armstrong & Michal Koles�r, 2016. "Simple and Honest Confidence Intervals in Nonparametric Regression," Cowles Foundation Discussion Papers 2044R3, Cowles Foundation for Research in Economics, Yale University, revised Aug 2018.
    4. Kirill S. Evdokimov & Michal Kolesár, 2018. "Inference in Instrumental Variable Regression Analysis with Heterogeneous Treatment Effects," Working Papers 2018-16, Princeton University. Economics Department..
    5. Cattaneo, Matias D & Jansson, Michael & Newey, Whitney K, 2018. "Inference in Linear Regression Models with Many Covariates and Heteroscedasticity," Department of Economics, Working Paper Series qt6rp7p9gs, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M., 2017. "Sampling-Based vs. Design-Based Uncertainty in Regression Analysis," Research Papers 3349, Stanford University, Graduate School of Business.
    7. Timothy B. Armstrong & Michal Kolesár, 2021. "Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Econometrica, Econometric Society, vol. 89(3), pages 1141-1177, May.
    8. Antonio Accetturo & Elisabetta Olivieri & Fabrizio Renzi, 2024. "Incentives for dwelling renovations: evidence from a large fiscal programme," Questioni di Economia e Finanza (Occasional Papers) 860, Bank of Italy, Economic Research and International Relations Area.
    9. Alexandre Belloni & Mingli Chen & Victor Chernozhukov, 2017. "Quantile graphical models: prediction and conditional independence with applications to systemic risk," CeMMAP working papers 54/17, Institute for Fiscal Studies.
    10. Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org.
    11. Cladia Noack & Chistoph Rothe, 2023. "Donut Regression Discontinuity Designs," Papers 2308.14464, arXiv.org.
    12. Ying Jin & Dominik Rothenhäusler, 2024. "Tailored inference for finite populations: conditional validity and transfer across distributions," Biometrika, Biometrika Trust, vol. 111(1), pages 215-233.
    13. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised Jan 2025.
    14. Michal Kolesár & Christoph Rothe, 2018. "Inference in Regression Discontinuity Designs with a Discrete Running Variable," American Economic Review, American Economic Association, vol. 108(8), pages 2277-2304, August.
    15. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
    16. Claudia Noack & Tomasz Olma & Christoph Rothe, 2021. "Flexible Covariate Adjustments in Regression Discontinuity Designs," Papers 2107.07942, arXiv.org, revised Dec 2024.
    17. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.

  25. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2014. "Complementarity and aggregate implications of assortative matching: A nonparametric analysis," Quantitative Economics, Econometric Society, vol. 5, pages 29-66, March.
    See citations under working paper version above.
  26. Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.

    Cited by:

    1. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    2. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    3. Patacchini, Eleonora & Venanzoni, Giuseppe, 2014. "Peer effects in the demand for housing quality," Journal of Urban Economics, Elsevier, vol. 83(C), pages 6-17.
    4. Angelo Mele & Lingxin Hao & Joshua Cape & Carey E. Priebe, 2019. "Spectral inference for large Stochastic Blockmodels with nodal covariates," Papers 1908.06438, arXiv.org, revised Mar 2021.
    5. Simon K.C. Cheung, 2017. "A Localized Model for Residential Property Valuation: Nearest Neighbor with Attribute Differences," International Real Estate Review, Global Social Science Institute, vol. 20(2), pages 221-250.
    6. Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2024. "Design-based identification with formula instruments: a review," LSE Research Online Documents on Economics 123848, London School of Economics and Political Science, LSE Library.
    7. Tadao HOSHINO & Daichi SHIMAMOTO & Yasuyuki TODO, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    8. Anton Badev, 2014. "Discrete Games in Endogenous Networks: Theory and Policy," 2014 Meeting Papers 901, Society for Economic Dynamics.
    9. Lindquist, Matthew J. & Zenou, Yves, 2014. "Key Players in Co-Offending Networks," IZA Discussion Papers 8012, Institute of Labor Economics (IZA).
    10. Eleonora Patacchini & Tiziano Arduini & Edoardo Rainone, 2014. "Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities," Center for Policy Research Working Papers 167, Center for Policy Research, Maxwell School, Syracuse University.
    11. Julian Reif, 2018. "A Model of Addiction and Social Interactions," NBER Working Papers 24842, National Bureau of Economic Research, Inc.
    12. Julie Beugnot & Bernard Fortin & Guy Lacroix & Marie Claire Villeval, 2013. "Social Networks and Peer Effects at Work," CIRANO Working Papers 2013s-27, CIRANO.
    13. Alejandra Agustina Martínez, 2023. "Raise your voice! Activism and peer effects in online social networks," Discussion Papers 2023-05, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    14. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
    15. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2016. "Consumption Network Effects," NBER Working Papers 22357, National Bureau of Economic Research, Inc.
    16. Lin, Xu & Weinberg, Bruce A., 2014. "Unrequited friendship? How reciprocity mediates adolescent peer effects," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 144-153.
    17. Timothy G. Conley & Nirav Mehta & Ralph Stinebrickner & Todd Stinebrickner, 2024. "Social Interactions, Mechanisms, and Equilibrium: Evidence from a Model of Study Time and Academic Achievement," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 824-866.
    18. Charroin, Liza & Fortin, Bernard & Villeval, Marie Claire, 2022. "Peer effects, self-selection and dishonesty," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 618-637.
    19. Shuyang Sheng & Xiaoting Sun, 2023. "Social Interactions with Endogenous Group Formation," Papers 2306.01544, arXiv.org.
    20. Tomoya Mori & Shosei Sakaguchi, 2019. "Collaborative Knowledge Creation: Evidence from Japanese Patent Data," KIER Working Papers 998, Kyoto University, Institute of Economic Research.
    21. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    22. Arthur Lewbel & Xi Qu & Xun Tang, 2022. "Estimating Social Network Models with Missing Links," Boston College Working Papers in Economics 1056, Boston College Department of Economics.
    23. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
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    484. Thiago Christiano Silva & Carlos Eduardo de Almeida, 2024. "COVID-19 and Supply Chain Disruptions: a novel perspective using a network of payments in Brazil," Working Papers Series 595, Central Bank of Brazil, Research Department.
    485. Anna Alberini & Markus Bareit & Massimo Filippini, 2014. "Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, a Regression Discontinuity Design, and Matching," Working Papers 2014.16, Fondazione Eni Enrico Mattei.
    486. Khanna, Rajat, 2023. "Passing the torch of knowledge: Star death, collaborative ties, and knowledge creation," Research Policy, Elsevier, vol. 52(1).
    487. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "Synthetic Estimation of Dynamic Panel Models When Either N or T or Both Are Not Large: Bias Decomposition in Systematic and Random Components," MPRA Paper 94405, University Library of Munich, Germany.
    488. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    489. Ziqi Wang & Ziyao Huang & Jingjing Cai, 2023. "Does the One-Child Policy Improve Chinese Human Capital? A Propensity Score Matching Analysis," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    490. Arlen Guarín & Carlos Medina & Christian Posso, 2017. "Calidad y Cobertura de la Educación Secundaria Pública y Privada en Colombia, y sus Costos Ocultos," Borradores de Economia 1006, Banco de la Republica de Colombia.
    491. Jongkwan Lee & Giovanni Peri & Vasil Yasenov, 2017. "The Employment Effects of Mexican Repatriations: Evidence from the 1930's," NBER Working Papers 23885, National Bureau of Economic Research, Inc.

  31. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    See citations under working paper version above.
  32. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2009. "Choosing instrumental variables in conditional moment restriction models," Journal of Econometrics, Elsevier, vol. 152(1), pages 28-36, September.

    Cited by:

    1. Sentana, Enrique & Peñaranda, Francisco, 2007. "Duality in Mean-Variance Frontiers with Conditioning Information," CEPR Discussion Papers 6566, C.E.P.R. Discussion Papers.
    2. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
    3. Ali Mehrabani & Shahnaz Parsaeian & Aman Ullah, 2024. "Shrinkage Estimation and Forecasting in Dynamic Regression Models under Structural Instability," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202410, University of Kansas, Department of Economics.
    4. Muhammad Qasim, 2024. "A weighted average limited information maximum likelihood estimator," Statistical Papers, Springer, vol. 65(5), pages 2641-2666, July.
    5. Shantanu Gupta & Zachary C. Lipton & David Childers, 2021. "Efficient Online Estimation of Causal Effects by Deciding What to Observe," Papers 2108.09265, arXiv.org, revised Oct 2021.
    6. Sébastien Mary & Avraham Stoler, 2021. "Does agricultural trade liberalization increase obesity in developing countries?," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1326-1350, August.
    7. Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.
    8. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    9. Stefan Boes, 2010. "Count Data Models with Correlated Unobserved Heterogeneity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(3), pages 382-402, September.
    10. Shakil, Golam Saroare & Marsh, Thomas L., 2021. "One Instrument to Rule Them All?," 2021 Annual Meeting, August 1-3, Austin, Texas 314047, Agricultural and Applied Economics Association.
    11. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    12. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    13. Sébastien Mary & Kelsey Shaw & Sergio Gomez y Paloma, 2019. "Does the sectoral composition of growth affect child stunting reductions?," Development Policy Review, Overseas Development Institute, vol. 37(2), pages 225-244, March.
    14. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Documents de travail du Centre d'Economie de la Sorbonne 14062, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    15. Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org.
    16. Nguyen, Canh Phuc, 2021. "Gender equality and economic complexity," Economic Systems, Elsevier, vol. 45(4).
    17. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    18. Hristache, Marian & Patilea, Valentin, 2021. "Equivalent models for observables under the assumption of missing at random," Econometrics and Statistics, Elsevier, vol. 20(C), pages 153-165.
    19. Mary, Sébastien, 2018. "Does Agricultural (Food) Trade Openness Reduce Child Stunting?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274282, Agricultural and Applied Economics Association.
    20. Ali Mehrabani, 2024. "Stein-Like Shrinkage Estimators for Coefficients of a Single-Equation in Simultaneous Equation Systems," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202414, University of Kansas, Department of Economics.
    21. Enrico De Monte & Anne-Laure Levet, 2019. "Productivity Dynamics in French Woodworking Industries," Working Papers of BETA 2019-45, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    22. Siddhartha Chib & Minchul Shin & Anna Simoni, 2021. "Bayesian Estimation and Comparison of Conditional Moment Models," Papers 2110.13531, arXiv.org.
    23. Nguyen, Canh Phuc & Doytch, Nadia, 2022. "The impact of ICT patents on economic growth: An international evidence," Telecommunications Policy, Elsevier, vol. 46(5).
    24. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    25. Liu, Chu-An & Tao, Jing, 2016. "Model selection and model averaging in nonparametric instrumental variables models," MPRA Paper 69492, University Library of Munich, Germany.
    26. Hao Hao & Tae-Hwy Lee, 2025. "Boosting GMM with Many Instruments When Some Are Invalid and/or Irrelevant," Working Papers 202504, University of California at Riverside, Department of Economics.
    27. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01093414, HAL.
    28. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    29. Parente, Paulo M.D.C. & Smith, Richard J., 2017. "Tests of additional conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 200(1), pages 1-16.
    30. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Post-Print halshs-01093414, HAL.
    31. Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 14-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2014.
    32. Yves G. Berger, 2023. "Unconditional empirical likelihood approach for analytic use of public survey data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 383-410, March.
    33. Mary, Sebastien & Shaw, Kelsey & Colen, Liesbeth & Gomez y Paloma, Sergio, 2020. "Does agricultural aid reduce child stunting?," World Development, Elsevier, vol. 130(C).
    34. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    35. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    36. Kun Xu & Yanyuan Ma & Liqun Wang, 2015. "Instrument Assisted Regression for Errors in Variables Models with Binary Response," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 104-117, March.
    37. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    38. Berger, Yves G. & Patilea, Valentin, 2022. "A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection," Econometrics and Statistics, Elsevier, vol. 24(C), pages 151-163.
    39. Nguyen, Canh Phuc & Nguyen, Binh Quang, 2023. "Environmental foe or friend: The influence of the shadow economy on forest land," Land Use Policy, Elsevier, vol. 124(C).
    40. Sébastien Mary, 2019. "Hungry for free trade? Food trade and extreme hunger in developing countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(2), pages 461-477, April.
    41. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
    42. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
    43. Michael Creel, 2016. "Neural Nets for Indirect Inference," UFAE and IAE Working Papers 960.16, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 18 Jul 2016.
    44. Canay, Ivan A., 2010. "Simultaneous selection and weighting of moments in GMM using a trapezoidal kernel," Journal of Econometrics, Elsevier, vol. 156(2), pages 284-303, June.
    45. Francis DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 15-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2015.
    46. Sébastien Mary, 2018. "How Much Does Economic Growth Contribute to Child Stunting Reductions?," Economies, MDPI, vol. 6(4), pages 1-18, October.
    47. Cho, Hyunkeun, 2016. "The analysis of multivariate longitudinal data using multivariate marginal models," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 481-491.
    48. Christopher Conlon & Jeff Gortmaker, 2020. "Best practices for differentiated products demand estimation with PyBLP," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1108-1161, December.
    49. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  33. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    See citations under working paper version above.
  34. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    See citations under working paper version above.
  35. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    See citations under working paper version above.
  36. Imbens, Guido & Lemieux, Thomas, 2008. "Special issue editors' introduction: The regression discontinuity design--Theory and applications," Journal of Econometrics, Elsevier, vol. 142(2), pages 611-614, February.

    Cited by:

    1. Pedro Carneiro & Katrine Loken & Kjell G. Salvanes, 2010. "A flying start? Long term consequences of maternal time investments in children during their first year of life," CeMMAP working papers CWP38/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Chiang, Harold D. & Hsu, Yu-Chin & Sasaki, Yuya, 2019. "Robust uniform inference for quantile treatment effects in regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 211(2), pages 589-618.
    3. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    4. Pedro Carneiro & Katrine V. Løken & Kjell G. Salvanes, 2015. "A Flying Start? Maternity Leave Benefits and Long-Run Outcomes of Children," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 365-412.
    5. Rieck, Karsten Marshall Elseth, 2012. "Does Child Care Affect Parents’ Sickness Absence? Evidence From A Norwegian Paternity Leave Reform," Working Papers in Economics 14/12, University of Bergen, Department of Economics.
    6. Nishijima, Marislei & Ellis, Randall P. & Cati, Regina C., 2022. "Primary healthcare effects of a well-designed anti-corruption program," World Development Perspectives, Elsevier, vol. 25(C).
    7. Chiang, Harold D. & Sasaki, Yuya, 2019. "Causal inference by quantile regression kink designs," Journal of Econometrics, Elsevier, vol. 210(2), pages 405-433.
    8. Vincent J. Shea & Kevin E. Dow & Alain Yee-Loong Chong & Eric W. T. Ngai, 0. "An examination of the long-term business value of investments in information technology," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    9. Vincent J. Shea & Kevin E. Dow & Alain Yee-Loong Chong & Eric W. T. Ngai, 2019. "An examination of the long-term business value of investments in information technology," Information Systems Frontiers, Springer, vol. 21(1), pages 213-227, February.
    10. Tanaka, Shinsuke, 2020. "When tax incentives drive illicit behavior: The manipulation of fuel economy in the automobile industry," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    11. Daniel Zaga, 2014. "The Impact of Three Mexican Nutritional Programs: The Case of Dif-Puebla," CFD Working Papers 09-2015, Centre for Finance and Development, The Graduate Institute.
    12. Hua Cheng & Shiqian Huang & Yinhong Yu & Zhiying Zhang & Meifen Jiang, 2023. "The 2011 Collaborative Innovation Plan, University-Industry Collaboration and Achievement Transformation of Universities: Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1249-1274, June.
    13. Daniel Höhmann, 2017. "The effect of legislature size on public spending: evidence from a regression discontinuity design," Public Choice, Springer, vol. 173(3), pages 345-367, December.
    14. Timothy P. Derdenger, 2018. "Examining the impact of celebrity endorsements across consumer segments: an empirical study of Tiger Woods’ endorsement effect on golf equipment," Marketing Letters, Springer, vol. 29(2), pages 123-136, June.

  37. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    See citations under working paper version above.
  38. Alberto Abadie & Guido W. Imbens, 2008. "Estimation of the Conditional Variance in Paired Experiments," Annals of Economics and Statistics, GENES, issue 91-92, pages 175-187.

    Cited by:

    1. Cl'ement de Chaisemartin & Jaime Ramirez-Cuellar, 2019. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," Papers 1906.00288, arXiv.org, revised Jun 2023.
    2. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
    3. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    4. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
    5. Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey M., 2017. "Sampling-Based vs. Design-Based Uncertainty in Regression Analysis," Research Papers 3349, Stanford University, Graduate School of Business.
    6. Timothy B. Armstrong & Michal Kolesár, 2021. "Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Econometrica, Econometric Society, vol. 89(3), pages 1141-1177, May.
    7. Nicole E. Pashley & Luke W. Miratrix, 2021. "Insights on Variance Estimation for Blocked and Matched Pairs Designs," Journal of Educational and Behavioral Statistics, , vol. 46(3), pages 271-296, June.
    8. Max Cytrynbaum, 2023. "Covariate Adjustment in Stratified Experiments," Papers 2302.03687, arXiv.org, revised Jul 2024.
    9. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2015. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Papers 1508.02973, arXiv.org, revised Mar 2018.
    10. Kandilov, Ivan T. & Renkow, Mitch, 2018. "Impacts of USDA Broadband Loan and Grant Programs: Moving Toward Estimating a Rate of Return," Issue Reports 277661, Farm Foundation.
    11. Max Cytrynbaum, 2024. "Finely Stratified Rerandomization Designs," Papers 2407.03279, arXiv.org, revised Jan 2025.
    12. Bai, Yuehao & Jiang, Liang & Romano, Joseph P. & Shaikh, Azeem M. & Zhang, Yichong, 2024. "Covariate adjustment in experiments with matched pairs," Journal of Econometrics, Elsevier, vol. 241(1).
    13. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," Papers 2206.07845, arXiv.org.

  39. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
    See citations under working paper version above.
  40. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    See citations under working paper version above.
  41. Chernozhukov, Victor & Imbens, Guido W. & Newey, Whitney K., 2007. "Instrumental variable estimation of nonseparable models," Journal of Econometrics, Elsevier, vol. 139(1), pages 4-14, July.

    Cited by:

    1. Depalo, D.;, 2019. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health, Econometrics and Data Group (HEDG) Working Papers 19/13, HEDG, c/o Department of Economics, University of York.
    2. Joel L. Horowitz & Sokbae (Simon) Lee, 2010. "Uniform confidence bands for functions estimated nonparametrically with instrumental variables," CeMMAP working papers CWP19/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Andrew Chesher, 2007. "Endogeneity and discrete outcomes," CeMMAP working papers CWP05/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
    5. Xiaohong Chen & Markus Reiss, 2007. "On Rate Optimality for Ill-posed Inverse Problems in Econometrics," Cowles Foundation Discussion Papers 1626, Cowles Foundation for Research in Economics, Yale University.
    6. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    7. Xiaohong Chen & Demian Pouzo, 2012. "Estimation of Nonparametric Conditional Moment Models With Possibly Nonsmooth Generalized Residuals," Econometrica, Econometric Society, vol. 80(1), pages 277-321, January.
    8. Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2011. "Local identification of nonparametric and semiparametric models," CeMMAP working papers 17/11, Institute for Fiscal Studies.
    9. Andrii Babii & Jean-Pierre Florens, 2017. "Are Unobservables Separable?," Papers 1705.01654, arXiv.org, revised Mar 2021.
    10. Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
    11. Komunjer, Ivana, 2008. "Global Identification In Nonlinear Semiparametric Models," University of California at San Diego, Economics Working Paper Series qt2r59d87f, Department of Economics, UC San Diego.
    12. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.
    13. Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," Cowles Foundation Discussion Papers 1668R, Cowles Foundation for Research in Economics, Yale University, revised May 2011.
    14. Xiaohong Chen & Demian Pouzo, 2008. "Efficient Estimation of Semiparametric Conditional Moment Models with Possibly Nonsmooth Residuals," Cowles Foundation Discussion Papers 1640R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2009.
    15. Jingwen Zhang & Yifang Chen & Amandeep Singh, 2022. "Causal Bandits: Online Decision-Making in Endogenous Settings," Papers 2211.08649, arXiv.org, revised Feb 2023.
    16. Cazals, Catherine & Feve, Frederique & Florens, Jean-Pierre & Simar, Leopold, 2016. "Non Parametric Instrumental Variables Estimation for Efficiency Frontier," LIDAM Reprints ISBA 2016014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    17. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Working Papers halshs-02272874, HAL.
    18. Poirier, Alexandre, 2017. "Efficient estimation in models with independence restrictions," Journal of Econometrics, Elsevier, vol. 196(1), pages 1-22.
    19. Susanne M. Schennach & Halbert White & Karim Chalak, 2007. "Estimating average marginal effects in nonseparable structural systems," CeMMAP working papers CWP31/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Frédérique Fève & Jean-Pierre Florens, 2010. "The practice of non-parametric estimation by solving inverse problems: the example of transformation models," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 1-27, October.
    22. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
    23. Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019. "Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions," Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
    24. Suqin Ge & João Macieira, 2024. "Unobserved Worker Quality and Inter‐Industry Wage Differentials," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 459-515, March.
    25. Giovanni Forchini, 2012. "Structural Equations and Invariance," School of Economics Discussion Papers 0312, School of Economics, University of Surrey.
    26. Jia-Young Michael Fu & Joel L. Horowitz & Matthias Parey, 2015. "Testing exogeneity in nonparametric instrumental variables identified by conditional quantile restrictions," CeMMAP working papers CWP68/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Hidehiko Ichimura & Whitney K. Newey, 2022. "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
    28. Ta-Wei Huang & Eva Ascarza, 2024. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals," Marketing Science, INFORMS, vol. 43(4), pages 863-884, July.
    29. Joel L. Horowitz, 2013. "Adaptive nonparametric instrumental variables estimation: empirical choice of the regularization parameter," CeMMAP working papers CWP30/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
    31. Ai, Chunrong & Chen, Xiaohong, 2012. "The semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions," Journal of Econometrics, Elsevier, vol. 170(2), pages 442-457.
    32. Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
    33. Joel L. Horowitz, 2013. "Adaptive nonparametric instrumental variables estimation: empirical choice of the regularization parameter," CeMMAP working papers 30/13, Institute for Fiscal Studies.
    34. Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022. "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers 2211.07903, arXiv.org.
    35. Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
    36. Minji Bang & Wayne Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," NBER Working Papers 28436, National Bureau of Economic Research, Inc.
    37. Chen, Xiaohong & Pouzo, Demian, 2008. "Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Moments," Working Papers 47, Yale University, Department of Economics.
    38. Fabian Dunker, 2015. "Adaptive estimation for some nonparametric instrumental variable models," Papers 1511.03977, arXiv.org, revised Aug 2021.
    39. Lee, Sungwon, 2023. "Efficient estimation of a triangular system of equations for quantile regression," Economics Letters, Elsevier, vol. 226(C).
    40. John C. Ham & Kevin T. Reilly, 2013. "Implicit Contracts, Life Cycle Labor Supply, And Intertemporal Substitution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1133-1158, November.
    41. Schennach, Susanne & White, Halbert & Chalak, Karim, 2012. "Local indirect least squares and average marginal effects in nonseparable structural systems," Journal of Econometrics, Elsevier, vol. 166(2), pages 282-302.
    42. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    43. An, Yonghong & Hu, Yingyao & Liu, Pengfei, 2018. "Estimating heterogeneous contributing strategies in threshold public goods provision: A structural analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 124-146.
    44. Liao, Yuan & Jiang, Wenxin, 2011. "Posterior consistency of nonparametric conditional moment restricted models," MPRA Paper 38700, University Library of Munich, Germany.
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    56. Barbara Sianesi, 2016. "‘Randomisation bias’ in the medical literature: a review," IFS Working Papers W16/23, Institute for Fiscal Studies.
    57. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.
    58. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    59. Daido Kido, 2023. "Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification," Papers 2311.08958, arXiv.org.
    60. José I. Castillo-Manzano & Antonio Sánchez-Braza, 2011. "An Evaluation of the Establishment of a Taxi Flat Rate from City to Airport: The Case of Seville," Urban Studies, Urban Studies Journal Limited, vol. 48(9), pages 1909-1924, July.
    61. Takuya Ishihara & Toru Kitagawa, 2021. "Evidence Aggregation for Treatment Choice," Papers 2108.06473, arXiv.org, revised Jul 2024.
    62. Ashis Das & Jed Friedman & Eeshani Kandpal, 2018. "Does involvement of local NGOs enhance public service delivery? Cautionary evidence from a malaria‐prevention program in India," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 172-188, January.
    63. Isaiah Andrews & Emily Oster, 2017. "A Simple Approximation for Evaluating External Validity Bias," NBER Working Papers 23826, National Bureau of Economic Research, Inc.
    64. Rahul Singh, 2020. "Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments," Papers 2012.10315, arXiv.org, revised Mar 2023.
    65. Chlond, Bettina & Goeschl, Timo & Kesternich, Martin & Werthschulte, Madeline, 2024. "Transporting behavioral insights to low-income household: A field experiment on energy efficiency investmen," ZEW Discussion Papers 24-079, ZEW - Leibniz Centre for European Economic Research.
    66. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    67. Muller, Seán M., 2020. "The implications of a fundamental contradiction in advocating randomized trials for policy," World Development, Elsevier, vol. 127(C).
    68. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    69. Michael Gechter & Keisuke Hirano & Jean Lee & Mahreen Mahmud & Orville Mondal & Jonathan Morduch & Saravana Ravindran & Abu S. Shonchoy, 2024. "Selecting Experimental Sites for External Validity," Papers 2405.13241, arXiv.org.
    70. Grossman, Guy & Humphreys, Macartan & Sacramone-Lutz, Gabriella, 2020. "Information Technology and Political Engagement: Mixed Evidence from Uganda," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82(4), pages 1321-1336.
    71. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.
    72. Ashley L. Buchanan & Michael G. Hudgens & Stephen R. Cole & Katie R. Mollan & Paul E. Sax & Eric S. Daar & Adaora A. Adimora & Joseph J. Eron & Michael J. Mugavero, 2018. "Generalizing evidence from randomized trials using inverse probability of sampling weights," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1193-1209, October.
    73. Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
    74. Eleanor Jawon Choi & Hyungsik Roger Moon & Geert Ridder, 2019. "Within-District School Lotteries, District Selection, and the Average Partial Effects of School Inputs," Korean Economic Review, Korean Economic Association, vol. 35, pages 275-306.
    75. Gautier, Pieter A. & van der Klaauw, Bas, 2009. "Institutions and labor market outcomes in the Netherlands," Working Paper Series 2009:28, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    76. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.
    77. Chlond, Bettina & Goeschl, Timo & Kesternich, Martin & Werthschulte, Madeline, 2024. "Transporting behavioral insights to low-income households: A field experiment on energy efficiency investments," Working Papers 0755, University of Heidelberg, Department of Economics.
    78. Lokossou, Jourdain & Arouna, Aminou & Diagne, Aliou & Biaou, Gauthier, 2015. "Gender differential Impact of NERICA adoption on Total Factor Productivity: evidence from Benin Republic," 2015 Conference, August 9-14, 2015, Milan, Italy 212056, International Association of Agricultural Economists.
    79. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.

  48. Guido W. Imbens & Paul R. Rosenbaum, 2005. "Robust, accurate confidence intervals with a weak instrument: quarter of birth and education," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 109-126, January.

    Cited by:

    1. Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2024. "Design-based identification with formula instruments: a review," LSE Research Online Documents on Economics 123848, London School of Economics and Political Science, LSE Library.
    2. Andrews, Donald W.K. & Marmer, Vadim, 2008. "Exactly distribution-free inference in instrumental variables regression with possibly weak instruments," Journal of Econometrics, Elsevier, vol. 142(1), pages 183-200, January.
    3. Jeffrey Clemens, 2019. "Cross‐Country Evidence on Labor Market Institutions and Young Adult Employment through the Financial Crisis," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 573-612, October.
    4. Kirill Borusyak & Peter Hull, 2020. "Non-Random Exposure to Exogenous Shocks: Theory and Applications," Working Papers 2020-130, Becker Friedman Institute for Research In Economics.
    5. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    6. Marcelo Arbex & Justin M. Carre & Shawn N. Geniole & Enlinson Mattos, 2018. "Testosterone, personality traits and tax evasion," Working Papers 1801, University of Windsor, Department of Economics.
    7. Xavier D'Haultf{oe}uille & Purevdorj Tuvaandorj, 2022. "A Robust Permutation Test for Subvector Inference in Linear Regressions," Papers 2205.06713, arXiv.org, revised Sep 2023.
    8. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    9. Fan Yang & José R. Zubizarreta & Dylan S. Small & Scott Lorch & Paul R. Rosenbaum, 2014. "Dissonant Conclusions When Testing the Validity of an Instrumental Variable," The American Statistician, Taylor & Francis Journals, vol. 68(4), pages 253-263, November.
    10. Marinho Bertanha & EunYi Chung, 2021. "Permutation Tests at Nonparametric Rates," Papers 2102.13638, arXiv.org, revised Apr 2022.
    11. Bo Zhang & Siyu Heng & Emily J. MacKay & Ting Ye, 2022. "Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio," Biometrics, The International Biometric Society, vol. 78(4), pages 1639-1650, December.
    12. Jaeger, Simon C & Ganong, Peter Nathan, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," Scholarly Articles 34222894, Harvard University Department of Economics.
    13. Myoung Lee & Sang Lee, 2009. "Sensitivity analysis of job-training effects on reemployment for Korean women," Empirical Economics, Springer, vol. 36(1), pages 81-107, February.
    14. Bekker, Paul A. & Lawford, Steve, 2008. "Symmetry-based inference in an instrumental variable setting," Journal of Econometrics, Elsevier, vol. 142(1), pages 28-49, January.
    15. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
    16. David I. Stern, 2011. "From Correlation to Granger Causality," Crawford School Research Papers 1113, Crawford School of Public Policy, The Australian National University.
    17. Chang, Pao-Li & Lee, Myoung-Jae, 2011. "The WTO trade effect," Journal of International Economics, Elsevier, vol. 85(1), pages 53-71, September.
    18. Jeffrey Clemens & Benedic Ippolito, 2019. "Uncompensated Care and the Collapse of Hospital Payment Regulation: An Illustration of the Tinbergen Rule," Public Finance Review, , vol. 47(6), pages 1002-1041, November.
    19. Luke Keele & Dylan Small & Richard Grieve, 2017. "Randomization-based instrumental variables methods for binary outcomes with an application to the ‘IMPROVE’ trial," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 569-586, February.
    20. Yusuke Narita & Kohei Yata, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Working Papers 2021-022, Human Capital and Economic Opportunity Working Group.
    21. Cabus, Sofie J. & De Witte, Kristof, 2011. "Does school time matter?—On the impact of compulsory education age on school dropout," Economics of Education Review, Elsevier, vol. 30(6), pages 1384-1398.
    22. Eduardo Fé & Mario Pezzino, 2015. "On The Local Causal Effects of Retirement on Human Capital," Economics Discussion Paper Series 1508, Economics, The University of Manchester.
    23. Purevdorj Tuvaandorj, 2021. "Robust Permutation Tests in Linear Instrumental Variables Regression," Papers 2111.13774, arXiv.org, revised Jul 2024.
    24. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    25. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.
    26. Siyu Heng & Dylan S. Small & Paul R. Rosenbaum, 2020. "Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 935-958, June.
    27. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
    28. Clemens, Jeffrey, 2017. "Pitfalls in the Development of Falsification Tests: An Illustration from the Recent Minimum Wage Literature," MPRA Paper 80154, University Library of Munich, Germany.
    29. De Haas, Ralph & Baranov, Victoria & Grosjean, Pauline, 2020. "Male-biased Sex Ratios and Masculinity Norms: Evidence from Australia's Colonial Past," CEPR Discussion Papers 14493, C.E.P.R. Discussion Papers.
    30. Clemens, Jeffrey & Wither, Michael, 2019. "The minimum wage and the Great Recession: Evidence of effects on the employment and income trajectories of low-skilled workers," Journal of Public Economics, Elsevier, vol. 170(C), pages 53-67.
    31. Xuran Wang & Yang Jiang & Nancy R. Zhang & Dylan S. Small, 2018. "Sensitivity analysis and power for instrumental variable studies," Biometrics, The International Biometric Society, vol. 74(4), pages 1150-1160, December.
    32. Luke Keele & Steve Harris & Samuel D. Pimentel & Richard Grieve, 2020. "Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1501-1521, October.
    33. Jeffrey Clemens & Parker Rogers, 2020. "Demand Shocks, Procurement Policies, and the Nature of Medical Innovation: Evidence from Wartime Prosthetic Device Patents," NBER Working Papers 26679, National Bureau of Economic Research, Inc.
    34. Vladimir Atanasov & Bernard Black, 2021. "The Trouble with Instruments: The Need for Pretreatment Balance in Shock-Based Instrumental Variable Designs," Management Science, INFORMS, vol. 67(2), pages 1270-1302, February.
    35. Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
    36. John J. Donohue & Daniel E. Ho, 2007. "The Impact of Damage Caps on Malpractice Claims: Randomization Inference with Difference‐in‐Differences," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 4(1), pages 69-102, March.
    37. Hyunseung Kang & Laura Peck & Luke Keele, 2018. "Inference for instrumental variables: a randomization inference approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1231-1254, October.
    38. David S. Abrams & Marianne Bertrand & Sendhil Mullainathan, 2012. "Do Judges Vary in Their Treatment of Race?," The Journal of Legal Studies, University of Chicago Press, vol. 41(2), pages 347-383.
    39. Anustubh Agnihotri & Rahul Verma, 2016. "Design-based Approach in Social Science Research," Studies in Indian Politics, , vol. 4(2), pages 241-248, December.
    40. Purevdorj Tuvaandorj, 2024. "A Combinatorial Central Limit Theorem for Stratified Randomization," Papers 2402.14764, arXiv.org, revised Apr 2024.
    41. Kasey Buckles & Daniel M. Hungerman, 2008. "Season of Birth and Later Outcomes: Old Questions, New Answers," NBER Working Papers 14573, National Bureau of Economic Research, Inc.
    42. Arbex, Marcelo Aarestru & Carré, Justin M. & Geniole, Shawn N. & Mattos, Enlinson, 2018. "Tax evasion, testosterone and personality traits," Textos para discussão 466, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    43. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2014. "Finite Population Causal Standard Errors," NBER Working Papers 20325, National Bureau of Economic Research, Inc.
    44. Ganong, Peter & Jäger, Simon, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," IZA Discussion Papers 8282, Institute of Labor Economics (IZA).

  49. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    See citations under working paper version above.
  50. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    See citations under working paper version above.
  51. Gary Chamberlain & Guido Imbens, 2004. "Random Effects Estimators with many Instrumental Variables," Econometrica, Econometric Society, vol. 72(1), pages 295-306, January.

    Cited by:

    1. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    2. Manuel Arellano & Stéphane Bonhomme, 2007. "Robust priors in nonlinear panel data models," CeMMAP working papers CWP07/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    4. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    5. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    6. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2016. "Valid post-selection and post-regularization inference: An elementary, general approach," CeMMAP working papers CWP36/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017. "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 871-919.
    8. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Post-selection and post-regularization inference in linear models with many controls and instruments," CeMMAP working papers CWP02/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Helmut Farbmacher & Rebecca Groh & Michael Muhlegger & Gabriel Vollert, 2024. "Revisiting the Many Instruments Problem using Random Matrix Theory," Papers 2408.08580, arXiv.org.
    10. Rietveld, Cornelius A. & Webbink, Dinand, 2016. "On the genetic bias of the quarter of birth instrument," Economics & Human Biology, Elsevier, vol. 21(C), pages 137-146.
    11. Kolesar, Michal & Chetty, Raj & Friedman, John & Glaeser, Edward Ludwig & Imbens, Guido, 2015. "Identification and Inference With Many Invalid Instruments," Scholarly Articles 27769098, Harvard University Department of Economics.
    12. Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.
    13. Anthony Strittmatter & Uwe Sunde, 2013. "Health and economic development—evidence from the introduction of public health care," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1549-1584, October.
    14. Charles Nelson & Richard Startz & Eric Zivot, 2000. "Improved Inference for the Instrumental Variables Estimator," Econometric Society World Congress 2000 Contributed Papers 1600, Econometric Society.
    15. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
    16. Taylor, Eric, 2014. "Spending more of the school day in math class: Evidence from a regression discontinuity in middle school," Journal of Public Economics, Elsevier, vol. 117(C), pages 162-181.
    17. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    18. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    19. Sean F. Reardon & Fatih Unlu & Pei Zhu & Howard S. Bloom, 2014. "Bias and Bias Correction in Multisite Instrumental Variables Analysis of Heterogeneous Mediator Effects," Journal of Educational and Behavioral Statistics, , vol. 39(1), pages 53-86, February.
    20. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    21. Dennis Lim & Wenjie Wang & Yichong Zhang, 2022. "A Conditional Linear Combination Test with Many Weak Instruments," Papers 2207.11137, arXiv.org, revised Apr 2023.
    22. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2009. "Finite sample inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 152(2), pages 93-103, October.
    23. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    24. Inmaculada Garc�a Mainar & V�ctor M. Montuenga G�mez, 2004. "Returns to education and to experience within the EU: are there differences between wage earners and the self-employed?," Documentos de Trabajo dt2004-08, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    25. Grant Hillier & Giovanni Forchini, 2004. "Ill-posed Problems and Instruments' Weakness," Econometric Society 2004 Australasian Meetings 357, Econometric Society.
    26. Hansen, Christian & Kozbur, Damian, 2014. "Instrumental variables estimation with many weak instruments using regularized JIVE," Journal of Econometrics, Elsevier, vol. 182(2), pages 290-308.
    27. Zhaonan Qu & Yongchan Kwon, 2024. "Distributionally Robust Instrumental Variables Estimation," Papers 2410.15634, arXiv.org, revised Dec 2024.
    28. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    29. Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
    30. Lim, Dennis & Wang, Wenjie & Zhang, Yichong, 2024. "A conditional linear combination test with many weak instruments," Journal of Econometrics, Elsevier, vol. 238(2).
    31. Okui, Ryo, 2011. "Instrumental variable estimation in the presence of many moment conditions," Journal of Econometrics, Elsevier, vol. 165(1), pages 70-86.
    32. Thomas Wiemann, 2023. "Optimal Categorical Instrumental Variables," Papers 2311.17021, arXiv.org, revised May 2024.
    33. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
    34. Kasey Buckles & Daniel M. Hungerman, 2008. "Season of Birth and Later Outcomes: Old Questions, New Answers," NBER Working Papers 14573, National Bureau of Economic Research, Inc.
    35. Canay, Ivan A., 2010. "Simultaneous selection and weighting of moments in GMM using a trapezoidal kernel," Journal of Econometrics, Elsevier, vol. 156(2), pages 284-303, June.
    36. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  52. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LLC, vol. 4(3), pages 290-311, September.

    Cited by:

    1. John A Maluccio & Tia Palermo & Suneetha Kadiyala & Rahul Rawat, 2015. "Improving Health-Related Quality of Life among People Living with HIV: Results from an Impact Evaluation of a Food Assistance Program in Uganda," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-17, August.
    2. Zhu, Wei & Qi, Lixia & Wang, Ruime, 2021. "Impact of Market Price Support Measures on Chemical Fertilizer Use in China," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 9(01), January.
    3. Luca Moretti & Martin Mayerl & Samuel Muehlemann & Peter Schlögl & Stefan C. Wolter, 2017. "So Similar and yet so Different: A Comparative Analysis of a Firm's Cost and Benefits of Apprenticeship Training in Austria and Switzerland," CESifo Working Paper Series 6711, CESifo.
    4. Hanna Berkel, 2018. "The costs and benefits of formalization for firms: A mixed-methods study on Mozambique," WIDER Working Paper Series wp-2018-159, World Institute for Development Economic Research (UNU-WIDER).
    5. Marcus Linder & Joakim Björkdahl & Daniel Ljungberg, 2014. "Environmental Orientation and Economic Performance: a Quasi‐experimental Study of Small Swedish Firms," Business Strategy and the Environment, Wiley Blackwell, vol. 23(5), pages 333-348, July.
    6. María José Ibáñez & Felipe Vásquez Lavin & Roberto D. Ponce Oliva, 2023. "Female Underperformance Hypothesis Revisited: Methodological Review and Empirical Testing," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Squicciarini, Mara P. & Vandeplas, Anneleen & Janssen, Emma & Swinnen, Jo, 2017. "Supply chains and economic development: Insights from the Indian dairy sector," Food Policy, Elsevier, vol. 68(C), pages 128-142.
    8. Mara P. Squicciarini & Nico Voigtländer, 2014. "Human Capital and Industrialization: Evidence from the Age of Enlightenment," NBER Working Papers 20219, National Bureau of Economic Research, Inc.
    9. Fernando M. Aragon, 2014. "Do better property rights improve local income?: Evidence from First Nations' treaties," Discussion Papers dp14-02, Department of Economics, Simon Fraser University.
    10. Kuhn, Dieter, 2011. "Delayering and Firm Performance: Evidence from Swiss firm-level Data," Working papers 2011/02, Faculty of Business and Economics - University of Basel.
    11. Kumar, Neha & Quisumbing, Agnes R., 2010. "Does social capital build women's assets?: The long-term impacts of group-based and individual dissemination of agricultural technology in Bangladesh," CAPRi working papers 97, International Food Policy Research Institute (IFPRI).
    12. Akee, Randall K. Q., 2007. "Who Leaves and Who Returns? Deciphering Immigrant Self-Selection from a Developing Country," IZA Discussion Papers 3268, Institute of Labor Economics (IZA).
    13. Ben Kriechel & Samuel Muehlemann & Harald Pfeifer & Miriam Schütte, 2014. "Works Councils, Collective Bargaining, and Apprenticeship Training – Evidence From German Firms," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(2), pages 199-222, April.
    14. Bruno Cirillo & Stefano Brusoni & Giovanni Valentini, 2014. "The Rejuvenation of Inventors Through Corporate Spinouts," Organization Science, INFORMS, vol. 25(6), pages 1764-1784, December.
    15. Hirota, Haruaki & Iwata, Kazuyuki & Tanaka, Kenta, 2022. "Is public official training effective at reducing costs? Evidence from survey data on Japanese municipal mergers," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 145-158.
    16. G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
    17. Balima, Wenéyam Hippolyte & Combes, Jean-Louis & Minea, Alexandru, 2017. "Sovereign debt risk in emerging market economies: Does inflation targeting adoption make any difference?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 360-377.
    18. De los Santos, Babur & Kim, In Kyung & Lubensky, Dmitry, 2018. "Do MSRPs decrease prices?," International Journal of Industrial Organization, Elsevier, vol. 59(C), pages 429-457.
      • Babur De los Santos & In Kyung Kim & Dmitry Lubensky, 2013. "Do MSRPs Decrease Prices?," Working Papers 2013-13, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    19. Liao, Minli & White, Kevin R., 2014. "Post-permanency service needs, service utilization, and placement discontinuity for kinship versus non-kinship families," Children and Youth Services Review, Elsevier, vol. 44(C), pages 370-378.
    20. Pudney, Stephen & Hancock, Ruth & Zantomio, Francesca, 2006. "Estimating the impact of a policy reform on welfare participation: the 2001 extension to the minimum income guarantee for UK pensioners," ISER Working Paper Series 2006-21, Institute for Social and Economic Research.
    21. Erlend E. Bø & Elin Halvorsen & Thor O. Thoresen, 2019. "Heterogeneity of the Carnegie Effect," Journal of Human Resources, University of Wisconsin Press, vol. 54(3), pages 726-759.
    22. Uckat,Hannah Irmela, 2023. "Leaning in at Home : Women's Promotions and Intra-household Bargaining in Bangladesh," Policy Research Working Paper Series 10370, The World Bank.
    23. Klebson Humberto De Lucena Moura & Raul Da Mota Silveira Neto, 2016. "Does A Longer Commuting Time Increases The Probability Of Being Victim Of Urban Violence? The Evidence From Brazilian Metropolitan Regions," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 159, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    24. Dettmann, Eva & Giebler, Alexander & Weyh, Antje, 2020. "Flexpaneldid: A Stata toolbox for causal analysis with varying treatment time and duration," IWH Discussion Papers 3/2020, Halle Institute for Economic Research (IWH).
    25. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2016. "Long-Term Persistence," Journal of the European Economic Association, European Economic Association, vol. 14(6), pages 1401-1436.
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    3. Lavergne, Pascal & Patilea, Valentin, 2013. "Smooth minimum distance estimation and testing with conditional estimating equations: Uniform in bandwidth theory," Journal of Econometrics, Elsevier, vol. 177(1), pages 47-59.
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    5. Sentana, Enrique & Peñaranda, Francisco, 2007. "Duality in Mean-Variance Frontiers with Conditioning Information," CEPR Discussion Papers 6566, C.E.P.R. Discussion Papers.
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    8. Yoon-Jae Whang, 2003. "Smoothed Empirical Likelihood Methods for Quantile Regression Models," Econometrics 0310005, University Library of Munich, Germany.
    9. Christoph Breunig, 2019. "Goodness-of-Fit Tests based on Series Estimators in Nonparametric Instrumental Regression," Papers 1909.10133, arXiv.org.
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    24. Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2018. "Nonparametric estimation in case of endogenous selection," Journal of Econometrics, Elsevier, vol. 202(2), pages 268-285.
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    27. Nikolay Gospodinov & Taisuke Otsu, 2008. "Local GMM Estimation of Time Series Models with Conditional Moment Restrictions," Working Papers 08010, Concordia University, Department of Economics.
    28. Jin Seo Cho & Peter C. B. Phillips, 2024. "GMM Estimation with Brownian Kernels Applied to Income Inequality Measurement," Cowles Foundation Discussion Papers 2411, Cowles Foundation for Research in Economics, Yale University.
    29. Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019. "Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions," Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
    30. Taisuke Otsu & Yoon-Jae Whang, 2005. "Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood," Cowles Foundation Discussion Papers 1533, Cowles Foundation for Research in Economics, Yale University.
    31. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
    32. Breunig, Christoph, 2012. "Goodness-of-fit tests based on series estimators in nonparametric instrumental regression," Working Papers 12-13, University of Mannheim, Department of Economics.
    33. Kunyang Song & Feiyu Jiang & Ke Zhu, 2024. "Estimation for conditional moment models based on martingale difference divergence," Papers 2404.11092, arXiv.org.
    34. Ai, Chunrong & Chen, Xiaohong, 2012. "The semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions," Journal of Econometrics, Elsevier, vol. 170(2), pages 442-457.
    35. Wang, Xuexin, 2015. "A Note on Consistent Conditional Moment Tests," MPRA Paper 69005, University Library of Munich, Germany.
    36. Abhimanyu Gupta & Jungyoon Lee & Francesca Rossi, 2024. "Testing linearity of spatial interaction functions \`a la Ramsey," Papers 2412.14778, arXiv.org.
    37. Paulo Parente & Richard Smith, 2012. "Exogeneity in semiparametric moment condition models," CeMMAP working papers CWP30/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    83. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.
    84. Balán, Pablo & Dodyk, Juan & Puente, Ignacio, 2022. "The political behavior of family firms: Evidence from Brazil," World Development, Elsevier, vol. 151(C).
    85. Linus Dahlander & Siobhan O'Mahony & David M. Gann, 2016. "One foot in, one foot out: how does individuals' external search breadth affect innovation outcomes?," Strategic Management Journal, Wiley Blackwell, vol. 37(2), pages 280-302, February.
    86. Bucciol, Alessandro & Veronesi, Marcella, 2014. "Teaching children to save: What is the best strategy for lifetime savings?," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 1-17.
    87. John William Hatfield & Katrina Kosec & Luke P. Rodgers, 2024. "Housing values and jurisdictional fragmentation," Public Choice, Springer, vol. 201(1), pages 83-122, October.
    88. Bijwaard, Govert, 2021. "Educational Differences in Mortality and Hospitalisation for Cardiovascular Diseases for Males," IZA Discussion Papers 14507, Institute of Labor Economics (IZA).
    89. Brian Knaeble & Seth Dutter, 2017. "Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects," The American Statistician, Taylor & Francis Journals, vol. 71(2), pages 97-105, April.
    90. Cecchi, Francesco & Duchoslav, Jan, 2018. "The effect of prenatal stress on cooperation: Evidence from violent conflict in Uganda," European Economic Review, Elsevier, vol. 101(C), pages 35-56.
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    92. Haensch, Anna-Carolina & Drechsler, Jörg & Bernhard, Sarah, 2020. "TippingSens: An R Shiny Application to Facilitate Sensitivity Analysis for Causal Inference Under Confounding," IAB-Discussion Paper 202029, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    93. Malay Biswas, 2017. "Are They Efficient in the Middle? Using Propensity Score Estimation for Modeling Middlemen in Indian Corporate Corruption," Journal of Business Ethics, Springer, vol. 141(3), pages 563-586, March.
    94. Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023. "Uniform inference for value functions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1680-1699.
    95. Paul R. Rosenbaum, 2007. "Sensitivity Analysis for m-Estimates, Tests, and Confidence Intervals in Matched Observational Studies," Biometrics, The International Biometric Society, vol. 63(2), pages 456-464, June.
    96. Vikström, Johan, 2009. "Cluster sample inference using sensitivity analysis: the case with few groups," Working Paper Series 2009:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    97. Nadine Levratto & Aurelien Quignon, 2021. "Innovation Performance and the Signal Effect: Evidence from a European Program," Working Papers halshs-03466903, HAL.
    98. KITAGAWA, Toru & SAWADA, Masayuki, 2023. "Linear Regressions, Shorts to Long," Discussion Paper Series 747, Institute of Economic Research, Hitotsubashi University.
    99. Jian Li & Jinhui Xu, 2016. "Investigating Causality between Global Experience and Global Competency for Undergraduates in Contemporary China’s Higher Education: A Transformative Learning Theory Perspective," International Journal of Higher Education, Sciedu Press, vol. 5(3), pages 155-155, August.
    100. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    101. Regassa, Mekdim D. & Melesse, Mequanint B., 2020. "Access to credit and heterogeneous effects on agricultural technology adoption: Evidence from large rural surveys in Ethiopia," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304499, Agricultural and Applied Economics Association.
    102. Guardado, Jenny, 2018. "Land tenure, price shocks, and insurgency: Evidence from Peru and Colombia," World Development, Elsevier, vol. 111(C), pages 256-269.
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    104. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers 55/13, Institute for Fiscal Studies.
    105. Solé-Ollé, Albert & Sorribas-Navarro, Pilar, 2018. "Trust no more? On the lasting effects of corruption scandals," European Journal of Political Economy, Elsevier, vol. 55(C), pages 185-203.
    106. de Luna, Xavier & Lundin, Mathias, 2009. "Sensitivity analysis of the unconfoundedness assumption in observational studies," Working Paper Series 2009:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    107. Paul R. Rosenbaum, 2007. "Confidence Intervals for Uncommon but Dramatic Responses to Treatment," Biometrics, The International Biometric Society, vol. 63(4), pages 1164-1171, December.
    108. Aurélien Quignon & Nadine Levratto, 2021. "Innovation Performance and the Signal Effect: Evidence from a European Program," EconomiX Working Papers 2021-34, University of Paris Nanterre, EconomiX.
    109. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    110. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar, 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Estimation of Treatment Effects," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100502, Verein für Socialpolitik / German Economic Association.
    111. Selod, Harris & Gobillon, Laurent, 2007. "The Effect of Segregation and Spatial Mismatch on Unemployment: Evidence from France," CEPR Discussion Papers 6198, C.E.P.R. Discussion Papers.
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    116. Wuepper, David & Roleff, Nikolaus & Finger, Robert, 2021. "Does it matter who advises farmers? Pest management choices with public and private extension," Food Policy, Elsevier, vol. 99(C).
    117. Thijssen, Maximiliaan W.P. & Rege, Mari & Solheim, Oddny J., 2022. "Teacher relationship skills and student learning," Economics of Education Review, Elsevier, vol. 89(C).
    118. Jenny C. Aker, 2010. "Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 46-59, July.
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    121. Deepankar Basu, 2023. "Formal Covariate Benchmarking to Bound Omitted Variable Bias," Papers 2306.10562, arXiv.org.
    122. Amin, Vikesh & Flores, Carlos A. & Flores-Lagunes, Alfonso & Parisian, Daniel J., 2016. "The Effect of Degree Attainment on Arrests: Evidence from a Randomized Social Experiment," IZA Discussion Papers 9695, Institute of Labor Economics (IZA).
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    124. Bevis, Leah & Kim, Kichan & Guerena, David, 2023. "Soil zinc deficiency and child stunting: Evidence from Nepal," Journal of Health Economics, Elsevier, vol. 87(C).
    125. Pan He & Marcella Veronesi, 2015. "The Diffusion of Information and Behavior in Social Networks: Renewable Energy Technology Adoption in Rural China," Working Papers 06/2015, University of Verona, Department of Economics.
    126. Neugebauer, Martin & Weiss, Felix, 2017. "Does a Bachelor's degree pay off? Labor market outcomes of academic versus vocational education after Bologna," Discussion Papers 2017/11, Free University Berlin, School of Business & Economics.
    127. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    128. Kevin A. Clarke, 2009. "Return of the Phantom Menace," Conflict Management and Peace Science, Peace Science Society (International), vol. 26(1), pages 46-66, February.
    129. Raffaele Guetto & Valentina Tocchioni & Daniele Vignoli, 2023. "The Causal Impact of Temporary Employment on First Births in Italy: An Update," Econometrics Working Papers Archive 2023_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    130. Michela Bia & Alessandra Mattei, 2012. "Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 485-516, November.
    131. Ben B. Hansen & Paul R. Rosenbaum & Dylan S. Small, 2014. "Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 133-144, March.
    132. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  57. Imbens, Guido W, 2002. "Generalized Method of Moments and Empirical Likelihood," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 493-506, October.

    Cited by:

    1. Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP69/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Chen, Song Xi & Cui, Hengjian, 2007. "On the second-order properties of empirical likelihood with moment restrictions," Journal of Econometrics, Elsevier, vol. 141(2), pages 492-516, December.
    3. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Giuseppe Ragusa, 2011. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Econometric Reviews, Taylor & Francis Journals, vol. 30(4), pages 406-456, August.
    5. Doran, Howard E. & Schmidt, Peter, 2006. "GMM estimators with improved finite sample properties using principal components of the weighting matrix, with an application to the dynamic panel data model," Journal of Econometrics, Elsevier, vol. 133(1), pages 387-409, July.
    6. Li, Daoji & Pan, Jianxin, 2013. "Empirical likelihood for generalized linear models with longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 63-73.
    7. Zhiguo Xiao, 2011. "Efficient Estimation of Moment Condition Models with Heterogenous Populations," Annals of Economics and Finance, Society for AEF, vol. 12(1), pages 89-107, May.
    8. Prosenjit Kundu & Nilanjan Chatterjee, 2023. "Logistic regression analysis of two‐phase studies using generalized method of moments," Biometrics, The International Biometric Society, vol. 79(1), pages 241-252, March.
    9. Stefan Boes, 2010. "Count Data Models with Correlated Unobserved Heterogeneity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(3), pages 382-402, September.
    10. Ying Sheng & Yifei Sun & Chiung‐Yu Huang & Mi‐Ok Kim, 2022. "Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach," Biometrics, The International Biometric Society, vol. 78(2), pages 679-690, June.
    11. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    12. Xiaohong Chen & Yin Jia Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: a Gentle Guide," Cowles Foundation Discussion Papers 2032, Cowles Foundation for Research in Economics, Yale University.
    13. Susanne M. Schennach, 2007. "Point estimation with exponentially tilted empirical likelihood," Papers 0708.1874, arXiv.org.
    14. Taisuke Otsu, 2011. "Moderate Deviations of Generalized Method of Moments and Empirical Likelihood Estimators," Cowles Foundation Discussion Papers 1785, Cowles Foundation for Research in Economics, Yale University.
    15. Jowaheer, Vandna & Sutradhar, Brajendra, 2009. "GMM versus GQL inferences for panel count data," Statistics & Probability Letters, Elsevier, vol. 79(18), pages 1928-1934, September.
    16. Amor Keziou & Aida Toma, 2021. "A Robust Version of the Empirical Likelihood Estimator," Mathematics, MDPI, vol. 9(8), pages 1-19, April.
    17. Jonas Metzger, 2022. "Adversarial Estimators," Papers 2204.10495, arXiv.org, revised Jun 2022.
    18. Demian Pouzo, 2014. "Bootstrap Consistency for Quadratic Forms of Sample Averages with Increasing Dimension," Papers 1411.2701, arXiv.org, revised Aug 2015.
    19. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, New Economic School (NES).
    20. Roberto Baragona & Francesco Battaglia & Domenico Cucina, 2016. "Empirical Likelihood for Outlier Detection and Estimation in Autoregressive Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 315-336, May.
    21. Stefan Boes, 2007. "Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach," SOI - Working Papers 0704, Socioeconomic Institute - University of Zurich.
    22. Seojeong Lee, 2014. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for GEL Estimators," Discussion Papers 2014-02, School of Economics, The University of New South Wales.
    23. Esmeralda A. Ramalho & Joaquim J. S. Ramalho, 2006. "Two‐Step Empirical Likelihood Estimation Under Stratified Sampling When Aggregate Information Is Available," Manchester School, University of Manchester, vol. 74(5), pages 577-592, September.
    24. Fan, Yanqin & Gentry, Matthew & Li, Tong, 2011. "A new class of asymptotically efficient estimators for moment condition models," Journal of Econometrics, Elsevier, vol. 162(2), pages 268-277, June.
    25. Wang, Xuexin, 2016. "A New Class of Tests for Overidentifying Restrictions in Moment Condition Models," MPRA Paper 69004, University Library of Munich, Germany.
    26. Suman Basuroy & S. Abraham Ravid & Richard T. Gretz & B. J. Allen, 2020. "Is everybody an expert? An investigation into the impact of professional versus user reviews on movie revenues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(1), pages 57-96, March.
    27. Tetsuya Kaji & Elena Manresa & Guillaume Pouliot, 2023. "An Adversarial Approach to Structural Estimation," Econometrica, Econometric Society, vol. 91(6), pages 2041-2063, November.
    28. Kennedy, Edward H. & Joffe, Marshall M. & Small, Dylan S., 2015. "Optimal restricted estimation for more efficient longitudinal causal inference," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 185-191.
    29. Yuan, Ao & Xu, Jinfeng & Zheng, Gang, 2014. "On empirical likelihood statistical functions," Journal of Econometrics, Elsevier, vol. 178(P3), pages 613-623.
    30. Seojeong Lee, 2018. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Empirical Likelihood Estimators," Papers 1806.00953, arXiv.org, revised Jun 2018.
    31. Geng, Shuli & Zhang, Lixin, 2024. "Decorrelated empirical likelihood for generalized linear models with high-dimensional longitudinal data," Statistics & Probability Letters, Elsevier, vol. 211(C).

  58. Imbens, Guido W. & Spady, Richard, 2002. "Confidence intervals in generalized method of moments models," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 87-98, March.

    Cited by:

    1. Abay, Kibrom A. & Abay, Mehari Hiluf & Berhane, Guush & Chamberlin, Jordan, 2021. "Social protection and resilience: The case of the productive safety net program in Ethiopia," IFPRI discussion papers 2086, International Food Policy Research Institute (IFPRI).
    2. Francesco Bravo, 2010. "Nonparametric likelihood inference for general autoregressive models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(1), pages 79-106, March.
    3. Dovonon, Prosper, 2008. "Large sample properties of the three-step euclidean likelihood estimators under model misspecification," MPRA Paper 40025, University Library of Munich, Germany, revised 16 May 2010.

  59. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
    See citations under working paper version above.
  60. Hyslop, Dean R & Imbens, Guido W, 2001. "Bias from Classical and Other Forms of Measurement Error," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 475-481, October.
    See citations under working paper version above.
  61. Imbens, Guido W, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 17-20, January.

    Cited by:

    1. Bhalotra S & Rawlings S, 2009. "Gradients of the Intergenerational Transmission of Health in Developing Countries," Health, Econometrics and Data Group (HEDG) Working Papers 09/13, HEDG, c/o Department of Economics, University of York.
    2. Datta Gupta, Nabanita & Simonsen, Marianne, 2011. "Where to Put the Kids? Effects of Type of Non-parental Child Care on Pre-teen Skills and Risky Behavior," IZA Discussion Papers 5848, Institute of Labor Economics (IZA).
    3. J. Driessen & A. Razzaque & D. Walker & D. Canning, 2015. "The effect of childhood measles vaccination on school enrolment in Matlab, Bangladesh," Applied Economics, Taylor & Francis Journals, vol. 47(55), pages 6019-6040, November.
    4. Mario Piacentini, 2008. "Migration Enclaves, Schooling Choices and Social Mobility," Development Working Papers 265, Centro Studi Luca d'Agliano, University of Milano.
    5. Galasso, Alberto & Schankerman, Mark & Serrano, Carlos J., 2013. "Trading and enforcing patent rights," LSE Research Online Documents on Economics 51080, London School of Economics and Political Science, LSE Library.
    6. Paul S. Clarke & Tom M. Palmer & Frank Windmeijer, 2011. "Estimating Structural Mean Models with Multiple Instrumental Variables using the Generalised Method of Moments," The Centre for Market and Public Organisation 11/266, The Centre for Market and Public Organisation, University of Bristol, UK.
    7. Oliver Falck & Stefan Kipar & Ludger Wößmann, 2011. "Innovationstätigkeit von Unternehmen : die Rolle von Qualifikationen, Kooperationen und Clusterpolitik," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 38, May.
    8. Lore Vandewalle, 2011. "The Role of Accountants in Indian Microfinance Groups: a Trade-Off Between Financial and Non-Financial Benefits," Working Papers 1118, University of Namur, Department of Economics.
    9. Kyyrä, Tomi & Korkeamäki, Ossi, 2008. "A Distributional Analysis of Displacement Costs in an Economic Depression and Recovery," Discussion Papers 465, VATT Institute for Economic Research.
    10. Jared Rubin, 2014. "Printing and Protestants: An Empirical Test of the Role of Printing in the Reformation," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 270-286, May.
    11. Wendy A. Stock & John J. Siegfried & T. Aldrich Finegan, 2011. "Completion Rates and Time-to-Degree in Economics PhD Programs (with comments by David Colander, N. Gregory Mankiw, Melissa P. McInerney, James M. Poterba)," American Economic Review, American Economic Association, vol. 101(3), pages 176-188, May.
    12. Priebe, Jan, 2011. "Child Costs and the Causal Effect of Fertility on Female Labor Supply: An investigation for Indonesia 1993-2008," Proceedings of the German Development Economics Conference, Berlin 2011 67, Verein für Socialpolitik, Research Committee Development Economics.

  62. Guido W. Imbens & Donald B. Rubin & Bruce I. Sacerdote, 2001. "Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," American Economic Review, American Economic Association, vol. 91(4), pages 778-794, September.

    Cited by:

    1. Itzik Fadlon & Torben Heien Nielsen, 2016. "Household Labor Supply and the Gains from Social Insurance," NBER Chapters, in: Social Insurance Programs (Trans-Atlantic Public Economics Seminar, TAPES), National Bureau of Economic Research, Inc.
    2. Stefania Basiglio & Maria Cristina Rossi & Arthur van Soest, 2023. "Subjective Inheritance Expectations and Economic Outcomes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 1088-1113, December.
    3. Gaston Navarro & Axelle Ferriere, 2016. "The Heterogeneous Effects of Government Spending: It's All About Taxes," 2016 Meeting Papers 1286, Society for Economic Dynamics.
    4. Paul J. Devereux, 2004. "Changes in Relative Wages and Family Labor Supply," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    5. Elinder, Mikael & Erixson, Oscar & Ohlsson, Henry, 2010. "The Effect of Inheritance Receipt on Labor and Capital Income: Evidence from Swedish Panel Data," Working Paper Series, Center for Fiscal Studies 2010:3, Uppsala University, Department of Economics.
    6. Sebastian Dyrda & Marcelo Pedroni, 2015. "Optimal Fiscal Policy in a Model with Uninsurable Idiosyncratic Shocks," Working Papers tecipa-550, University of Toronto, Department of Economics.
    7. Raj Chetty, 2003. "A New Method of Estimating Risk Aversion," NBER Working Papers 9988, National Bureau of Economic Research, Inc.
    8. Miguel Faria-e-Castro & Samuel Jordan-Wood, 2023. "Pandemic labor force participation and net worth fluctuations," Working Papers 2023-010, Federal Reserve Bank of St. Louis.
    9. Artmann, Elisabeth & Fuchs-Schündeln, Nicola & Giupponi, Giulia, 2023. "Forward-Looking Labor Supply Responses to Changes in Pension Wealth: Evidence from Germany," IZA Discussion Papers 16132, Institute of Labor Economics (IZA).
    10. Erlend E. Bø & Elin Halvorsen & Thor O. Thoresen, 2019. "Heterogeneity of the Carnegie Effect," Journal of Human Resources, University of Wisconsin Press, vol. 54(3), pages 726-759.
    11. Rafael Lalive & Arvind Magesan & Stefan Staubli, 2020. "The Impact of Social Security on Pension Claiming and Retirement: Active vs. Passive Decisions," NBER Working Papers 27616, National Bureau of Economic Research, Inc.
    12. Chenchuan (Mark) Li & Ulrich K. Müller, 2021. "Linear regression with many controls of limited explanatory power," Quantitative Economics, Econometric Society, vol. 12(2), pages 405-442, May.
    13. Imbens, Guido W., 2014. "Matching Methods in Practice: Three Examples," IZA Discussion Papers 8049, Institute of Labor Economics (IZA).
    14. Yung-Yu Tsai & Hsing-Wen Han & Kuang-Ta Lo & Tzu-Ting Yang, 2022. "The Effect of Financial Resources on Fertility: Evidence fromAdministrative Data on Lottery Winners," IEAS Working Paper : academic research 22-A007, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    15. George Bulman & Robert Fairlie & Sarena Goodman & Adam Isen, 2016. "Parental Resources and College Attendance: Evidence from Lottery Wins," NBER Working Papers 22679, National Bureau of Economic Research, Inc.
    16. Magnus A. H. Gulbrandsen, 2021. "Peer effects and debt accumulation: Evidence from lottery winnings," Working Paper 2021/10, Norges Bank.
    17. Begley, Jaclene & Chan, Sewin, 2018. "The effect of housing wealth shocks on work and retirement decisions," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 180-195.
    18. BARGAIN Olivier & DOORLEY Karina, 2016. "The Effect of Social Benefits on Youth Employment: Combining RD and a Behavioral Model," LISER Working Paper Series 2016-12, Luxembourg Institute of Socio-Economic Research (LISER).
    19. Adi Brender & Lior Gallo, 2009. "The Effect of Changes in Wages, GDP, and Workers' Demographic Characteristics on Working Hours," Israel Economic Review, Bank of Israel, vol. 7(1), pages 143-176.
    20. Baldwin Kate & Bhavnani Rikhil R., 2015. "Ancillary Studies of Experiments: Opportunities and Challenges," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 113-146, June.
    21. Looney, Adam & Singhal, Monica, 2006. "The Effect of Anticipated Tax Changes on Intertemporal Labor Supply and the Realization of Taxable Income," Working Paper Series rwp06-031, Harvard University, John F. Kennedy School of Government.
    22. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    23. Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020. "What Determines the Success of Housing Mobility Programs?," Working Papers 20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
    24. Richard Disney & John Gathergood, 2015. "House prices wealth effect and labor supply," Discussion Papers 2015/19, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    25. Brendan Epstein & Miles S. Kimball, 2021. "The Decline of Drudgery and the Paradox of Hard Work," NBER Working Papers 29041, National Bureau of Economic Research, Inc.
    26. David Cesarini & Erik Lindqvist & Matthew J. Notowidigdo & Robert Östling, 2015. "The Effect of Wealth on Individual and Household Labor Supply: Evidence from Swedish Lotteries," NBER Working Papers 21762, National Bureau of Economic Research, Inc.
    27. Gardner, Jonathan & Oswald, Andrew J., 2006. "Money and Mental Wellbeing: A Longitudinal Study of Medium-Sized Lottery Wins," IZA Discussion Papers 2233, Institute of Labor Economics (IZA).
    28. Lucas Figal Garone & Alessandro Maffioli & Joao Negri & Cesar Rodriguez & Gonzalo Vázquez-Baré, 2015. "Cluster development policy, SME’s performance, and spillovers: evidence from Brazil," Small Business Economics, Springer, vol. 44(4), pages 925-948, April.
    29. Altindag, Duha T. & Filiz, S. Elif & Tekin, Erdal, 2017. "Does It Matter How and How Much Politicians are Paid?," GLO Discussion Paper Series 90, Global Labor Organization (GLO).
    30. Cantoni, Davide & Yuchtman, Noam, 2020. "Historical Natural Experiments: Bridging Economics and Economic History," CEPR Discussion Papers 14401, C.E.P.R. Discussion Papers.
    31. Mark Colas & Sebastian Findeisen & Dominik Sachs, 2018. "Optimal Need-Based Financial Aid," Opportunity and Inclusive Growth Institute Working Papers 14, Federal Reserve Bank of Minneapolis.
    32. Sankar Mukhopadhyay & Jeanne Wendel, 2013. "Evaluating an employee wellness program," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 173-199, December.
    33. Frank Erp & Niels Vermeer & Daniel Vuuren, 2014. "Non-financial Determinants of Retirement: A Literature Review," De Economist, Springer, vol. 162(2), pages 167-191, June.
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    110. von Hinke Kessler Scholder, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2013. "Child height, health and human capital: Evidence using genetic markers," European Economic Review, Elsevier, vol. 57(C), pages 1-22.
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    120. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    121. Kastoryano, Stephen & Vollaard, Ben, 2022. "Nautical Patrol and Illegal Fishing Practices," Discussion Paper 2022-016, Tilburg University, Center for Economic Research.
    122. Guido Imbens, 2014. "Instrumental Variables: An Econometrician's Perspective," NBER Working Papers 19983, National Bureau of Economic Research, Inc.
    123. Zhang, Hongliang, 2016. "Identification of treatment effects under imperfect matching with an application to Chinese elite schools," Journal of Public Economics, Elsevier, vol. 142(C), pages 56-82.
    124. Pedro Carneiro & Sokbae (Simon) Lee, 2005. "Ability, sorting and wage inequality," CeMMAP working papers CWP16/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    125. Lancker, Kira & Fricke, Lorena & Schmidt, Jörn O., 2019. "Assessing the contribution of artisanal fisheries to food security: A bio-economic modeling approach," Food Policy, Elsevier, vol. 87(C), pages 1-1.
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    128. Chetty, Nadarajan, 2009. "Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods," Scholarly Articles 9748528, Harvard University Department of Economics.
    129. Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    130. Junmin Wan, 2005. "Rational Addiction with Optimal Inventories: Theory and Evidence from Cigarette Purchases in Japan," ISER Discussion Paper 0641, Institute of Social and Economic Research, The University of Osaka.
    131. Yingying DONG & Ying-Ying LEE & Michael GOU, 2019. "Regression Discontinuity Designs with a Continuous Treatment," Discussion papers 19058, Research Institute of Economy, Trade and Industry (RIETI).
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  65. Judith K. Hellerstein & Guido W. Imbens, 1999. "Imposing Moment Restrictions From Auxiliary Data By Weighting," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 1-14, February.
    See citations under working paper version above.
  66. Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
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  67. Joshua D. Angrist & Guido W. Imbens, 1999. "Comment on James J. Heckman, "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations"," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 823-827.

    Cited by:

    1. Hidehiko Ichimura & Christopher Taber, 2000. "Direct estimation of policy impacts," IFS Working Papers W00/05, Institute for Fiscal Studies.
    2. Ferreira, Fernando, 2010. "You can take it with you: Proposition 13 tax benefits, residential mobility, and willingness to pay for housing amenities," Journal of Public Economics, Elsevier, vol. 94(9-10), pages 661-673, October.
    3. Dumont, Etienne & Fortin, Bernard & Jacquemet, Nicolas & Shearer, Bruce S., 2007. "Physicians' Multitasking and Incentives: Empirical Evidence from a Natural Experiment," IZA Discussion Papers 3229, Institute of Labor Economics (IZA).
    4. Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.
    5. Heckman, James J., 2001. "Econometrics and empirical economics," Journal of Econometrics, Elsevier, vol. 100(1), pages 3-5, January.
    6. Blau, David M. & Tekin, Erdal, 2001. "The Determinants and Consequences of Child Care Subsidies for Single Mothers," IZA Discussion Papers 383, Institute of Labor Economics (IZA).
    7. Alberto Bisin & Andrea Moro, 2020. "LATE for History," NBER Working Papers 28113, National Bureau of Economic Research, Inc.
    8. Dillon, Andrew, 2010. "Do differences in the scale of irrigation projects generate different impacts on poverty and production?," IFPRI discussion papers 1022, International Food Policy Research Institute (IFPRI).

  68. Guido W. Imbens & Richard H. Spady & Phillip Johnson, 1998. "Information Theoretic Approaches to Inference in Moment Condition Models," Econometrica, Econometric Society, vol. 66(2), pages 333-358, March.
    See citations under working paper version above.
  69. Guido W. Imbens, 1997. "One-Step Estimators for Over-Identified Generalized Method of Moments Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(3), pages 359-383.

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    1. Chen, Song Xi & Gao, Jiti, 2007. "An adaptive empirical likelihood test for parametric time series regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 950-972, December.
    2. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
    3. Kitamura, Yuichi & Stutzer, Michael, 2002. "Connections between entropic and linear projections in asset pricing estimation," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 159-174, March.
    4. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    5. Whitney K. Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Inkmann, Joachim, 2000. "Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," CoFE Discussion Papers 00/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. Arndt, Channing & Simler, Kenneth R., 2005. "Estimating utility-consistent poverty lines," FCND discussion papers 189, International Food Policy Research Institute (IFPRI).
    8. Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers CWP03/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Giuseppe Ragusa, 2007. "Bayesian Likelihoods for Moment Condition Models," Working Papers 060714, University of California-Irvine, Department of Economics.
    10. Alexandre Belloni & Victor Chernozhukov, 2009. "Posterior Inference in Curved Exponential Families under Increasing Dimensions," Papers 0904.3132, arXiv.org, revised Apr 2014.
    11. Parente, Paulo M.D.C. & Smith, Richard J., 2011. "Gel Methods For Nonsmooth Moment Indicators," Econometric Theory, Cambridge University Press, vol. 27(1), pages 74-113, February.
    12. Shane M. Sherlund, 2004. "Quasi Empirical Likelihood Estimation of Moment Condition Models," Econometric Society 2004 North American Summer Meetings 507, Econometric Society.
    13. Chen, Song Xi & Cui, Hengjian, 2007. "On the second-order properties of empirical likelihood with moment restrictions," Journal of Econometrics, Elsevier, vol. 141(2), pages 492-516, December.
    14. Nihed Ben Khalifa & Abdessalem Abbassi & Ahlem Dakhlaoui, 2024. "Evaluating the Impacts of Subsidy Removal by Using a Linear-Quadratic Storage Model: the Case of Tunisian Sugar Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4673-4690, March.
    15. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    16. Giuseppe Ragusa, 2011. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Econometric Reviews, Taylor & Francis Journals, vol. 30(4), pages 406-456, August.
    17. Kundhi, Gubhinder & Rilstone, Paul, 2012. "Edgeworth expansions for GEL estimators," Journal of Multivariate Analysis, Elsevier, vol. 106(C), pages 118-146.
    18. Li, Daoji & Pan, Jianxin, 2013. "Empirical likelihood for generalized linear models with longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 63-73.
    19. Qian, Hailong & Schmidt, Peter, 1999. "Improved instrumental variables and generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 91(1), pages 145-169, July.
    20. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    21. Richard Smith, 2004. "GEL Criteria for Moment Condition Models," CeMMAP working papers CWP19/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Li, Haiqi & Fan, Rui & Park, Sung Y., 2018. "Generalized empirical likelihood specification test robust to local misspecification," Economics Letters, Elsevier, vol. 171(C), pages 149-153.
    23. Lô, Serigne N. & Ronchetti, Elvezio, 2012. "Robust small sample accurate inference in moment condition models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3182-3197.
    24. Ding Nan & Pomi Shahbaz & Shamsheer ul Haq & Muhammad Nadeem & Muhammad Imran, 2023. "The Economies’ Ability to Produce Diversified and Complex Goods to Meet the Global Competition: Role of Gross Value Chain, Institutional Quality, and Human Capital," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    25. Stefan Boes, 2010. "Count Data Models with Correlated Unobserved Heterogeneity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(3), pages 382-402, September.
    26. Bera, Anil K. & Bilias, Yannis, 2002. "The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 51-86, March.
    27. Mikio Ito & Akihiko Noda, 2012. "The GEL estimates resolve the risk-free rate puzzle in Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 365-374, March.
    28. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2003. "Empirical likelihood estimation and consistent tests with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 117(1), pages 55-93, November.
    29. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    30. Susanne M. Schennach, 2007. "Point estimation with exponentially tilted empirical likelihood," Papers 0708.1874, arXiv.org.
    31. Smith, Richard J., 2007. "Efficient information theoretic inference for conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 138(2), pages 430-460, June.
    32. Hill, Jonathan B., 2015. "Robust Generalized Empirical Likelihood for heavy tailed autoregressions with conditionally heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 131-152.
    33. Taisuke Otsu, 2011. "Moderate Deviations of Generalized Method of Moments and Empirical Likelihood Estimators," Cowles Foundation Discussion Papers 1785, Cowles Foundation for Research in Economics, Yale University.
    34. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. Israelov, Roni & Lugauer, Steven, 2011. "Combining empirical likelihood and generalized method of moments estimators: Asymptotics and higher order bias," Statistics & Probability Letters, Elsevier, vol. 81(9), pages 1339-1347, September.
    36. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
    37. Whitney K. Newey & Joaquim J.S. Ramalho & Richard J. Smith, 2003. "A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter," Economics Working Papers 5_2003, University of Évora, Department of Economics (Portugal).
    38. Abbassi Abdessalem & Gervais Jean-Philippe, 2010. "Evaluating Reforms in Canadian Chicken Marketing Mechanisms Using a Linear-Quadratic Inventory Model," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-24, February.
    39. Amor Keziou & Aida Toma, 2021. "A Robust Version of the Empirical Likelihood Estimator," Mathematics, MDPI, vol. 9(8), pages 1-19, April.
    40. Dovonon, Prosper, 2008. "Large sample properties of the three-step euclidean likelihood estimators under model misspecification," MPRA Paper 40025, University Library of Munich, Germany, revised 16 May 2010.
    41. Xiaohong Chen & Lars Peter Hansen & Peter G. Hansen, 2020. "Robust identification of investor beliefs," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 33130-33140, December.
    42. Antoine, Bertille & Bonnal, Helene & Renault, Eric, 2007. "On the efficient use of the informational content of estimating equations: Implied probabilities and Euclidean empirical likelihood," Journal of Econometrics, Elsevier, vol. 138(2), pages 461-487, June.
    43. Richard Smith, 2005. "Local GEL methods for conditional moment restrictions," CeMMAP working papers CWP15/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    Cited by:

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    8. Imbens, Guido W. & Lynch, Lisa M., 2006. "Re-Employment Probabilities over the Business Cycle," IZA Discussion Papers 2167, Institute of Labor Economics (IZA).
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Software components

  1. Alberto Abadie & Jane Leber Herr & Guido W. Imbens & David M. Drukker, 2004. "NNMATCH: Stata module to compute nearest-neighbor bias-corrected estimators," Statistical Software Components S439701, Boston College Department of Economics.

    Cited by:

    1. Tabasso, D, 2009. "Temporary Contracts and Monopsony Power in the UK Labour Market," Economics Discussion Papers 8938, University of Essex, Department of Economics.
    2. Stefanie Hof & Mirjam Strupler & Stefan C. Wolter, 2011. "Quereinsteiger in den Lehrberuf am Beispiel der schweizerischen Berufsbildung," Economics of Education Working Paper Series 0059, University of Zurich, Department of Business Administration (IBW).
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