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Max H Farrell

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.

Working papers

  1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "Nonlinear Binscatter Methods," Papers 2407.15276, arXiv.org.

    Cited by:

    1. Crump, Richard K. & Eusepi, Stefano & Giannoni, Marc & Şahin, Ayşegül, 2024. "The unemployment–inflation trade-off revisited: The Phillips curve in COVID times," Journal of Monetary Economics, Elsevier, vol. 145(S).

  2. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.

    Cited by:

    1. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    2. Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
    3. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion," Papers 2405.10498, arXiv.org.
    4. Simon, Frederik & Weibels, Sebastian & Zimmermann, Tom, 2025. "Deep parametric portfolio policies," CFR Working Papers 23-01, University of Cologne, Centre for Financial Research (CFR), revised 2025.

  3. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2019. "nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference," Papers 1906.00198, arXiv.org.

    Cited by:

    1. 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.
    2. Chalak, Karim, 2024. "Nonparametric Gini-Frisch bounds," Journal of Econometrics, Elsevier, vol. 238(1).

  4. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2019. "lspartition: Partitioning-Based Least Squares Regression," Papers 1906.00202, arXiv.org, revised Aug 2019.

    Cited by:

    1. Yechan Park & Yuya Sasaki, 2024. "Matching $\leq$ Hybrid $\leq$ Difference in Differences," Papers 2411.07952, arXiv.org, revised Feb 2025.

  5. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.

    Cited by:

    1. Stefano Eusepi & Giorgio Topa & Andrea Tambalotti & Richard Crump, 2016. "Subjective Intertemporal Substitution," 2016 Meeting Papers 83, Society for Economic Dynamics.
    2. Evan Starr & Brent Goldfarb, 2020. "Binned scatterplots: A simple tool to make research easier and better," Strategic Management Journal, Wiley Blackwell, vol. 41(12), pages 2261-2274, December.
    3. Raphael Brade, 2024. "Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance," CESifo Working Paper Series 11046, CESifo.

  6. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.

    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. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    3. Calvo Pardo, Héctor & Olmo, Jose & Mancini, Tullio, 2021. "Machine Learning the Carbon Footprint of Bitcoin Mining," CEPR Discussion Papers 16267, C.E.P.R. Discussion Papers.
    4. 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.
    5. Isaiah Hull & Anna Grodecka-Messi, 2022. "Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach," Papers 2203.14751, arXiv.org.
    6. 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.
    7. Chronopoulos, Ilias & Raftapostolos, Aristeidis & Kapetanios, George, 2023. "Forecasting Value-at-Risk using deep neural network quantile regression," Essex Finance Centre Working Papers 34837, University of Essex, Essex Business School.
    8. Sven Klaassen & Jan Teichert-Kluge & Philipp Bach & Victor Chernozhukov & Martin Spindler & Suhas Vijaykumar, 2024. "DoubleMLDeep: Estimation of Causal Effects with Multimodal Data," Papers 2402.01785, arXiv.org.
    9. 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.
    10. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "Model Averaging and Double Machine Learning," Papers 2401.01645, arXiv.org, revised Sep 2024.
    11. Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021. "Deep Structural Estimation:With an Application to Option Pricing," Cahiers de Recherches Economiques du Département d'économie 21.14, Université de Lausanne, Faculté des HEC, Département d’économie.
    12. Susan Athey & Guido Imbens, 2019. "Machine Learning Methods Economists Should Know About," Papers 1903.10075, arXiv.org.
    13. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    14. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    15. Konrad Menzel, 2021. "Structural Sieves," Papers 2112.01377, arXiv.org, revised Apr 2022.
    16. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Post-Print halshs-04250269, HAL.
    17. Matthew Harding & Gabriel F. R. Vasconcelos, 2022. "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers 2202.04218, arXiv.org.
    18. Chad Brown, 2024. "Inference in Partially Linear Models under Dependent Data with Deep Neural Networks," Papers 2410.22574, arXiv.org.
    19. Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
    20. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "ddml: Double/debiased machine learning in Stata," Stata Journal, StataCorp LLC, vol. 24(1), pages 3-45, March.
    21. Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
    22. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    23. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    24. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    25. Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
    26. Daniel Jacob, 2021. "CATE meets ML," Digital Finance, Springer, vol. 3(2), pages 99-148, June.
    27. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    28. Alena Skolkova, 2023. "Instrumental Variable Estimation with Many Instruments Using Elastic-Net IV," CERGE-EI Working Papers wp759, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    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. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021. "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers 2136, Banco de España.
    31. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    32. Davide Viviano, 2019. "Policy Targeting under Network Interference," Papers 1906.10258, arXiv.org, revised Apr 2024.
    33. Maur,Jean-Christophe & Nedeljkovic,Milan & Von Uexkull,Jan Erik, 2022. "FDI and Trade Outcomes at the Industry Level—A Data-Driven Approach," Policy Research Working Paper Series 9901, The World Bank.
    34. Peng Jin & Wenbin Lu & Yu Chen & Mengling Liu, 2023. "Change‐plane analysis for subgroup detection with a continuous treatment," Biometrics, The International Biometric Society, vol. 79(3), pages 1920-1933, September.
    35. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
    36. Kirill Safonov, 2024. "Neural Network Approach to Demand Estimation and Dynamic Pricing in Retail," Papers 2412.00920, arXiv.org, revised Dec 2024.
    37. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    38. Stephan Hetzenecker & Maximilian Osterhaus, 2024. "Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models," Papers 2408.09560, arXiv.org.
    39. Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation and Inference for a Class of Generalized Hierarchical Models," Papers 2311.02789, arXiv.org, revised Apr 2024.
    40. Damir Filipovi'c & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers 2212.01048, arXiv.org, revised Jan 2025.
    41. Hofert, Marius & Prasad, Avinash & Zhu, Mu, 2022. "Multivariate time-series modeling with generative neural networks," Econometrics and Statistics, Elsevier, vol. 23(C), pages 147-164.
    42. 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.
    43. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    44. Shi, Chengchun & Zhou, Yunzhe & Li, Lexin, 2024. "Testing directed acyclic graph via structural, supervised and generative adversarial learning," LSE Research Online Documents on Economics 119446, London School of Economics and Political Science, LSE Library.
    45. Shi, Chengchun & Luo, Shikai & Le, Yuan & Zhu, Hongtu & Song, Rui, 2022. "Statistically efficient advantage learning for offline reinforcement learning in infinite horizons," LSE Research Online Documents on Economics 115598, London School of Economics and Political Science, LSE Library.
    46. Koch, Bernard & Sainburg, Tim & Geraldo, Pablo & JIANG, SONG & Sun, Yizhou & Foster, Jacob G., 2021. "Deep Learning for Causal Inference," SocArXiv aeszf_v1, Center for Open Science.
    47. Chen, Xiaohong & Liu, Ying & Ma, Shujie & Zhang, Zheng, 2024. "Causal inference of general treatment effects using neural networks with a diverging number of confounders," Journal of Econometrics, Elsevier, vol. 238(1).
    48. Fallahgoul, Hasan & Franstianto, Vincentius & Lin, Xin, 2024. "Asset pricing with neural networks: Significance tests," Journal of Econometrics, Elsevier, vol. 238(1).
    49. Cai, Hengrui & Shi, Chengchun & Song, Rui & Lu, Wenbin, 2023. "Jump interval-learning for individualized decision making with continuous treatments," LSE Research Online Documents on Economics 118231, London School of Economics and Political Science, LSE Library.
    50. Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
    51. Jingsen Kong & Yiming Liu & Guangren Yang & Wang Zhou, 2025. "Conformal prediction for robust deep nonparametric regression," Statistical Papers, Springer, vol. 66(1), pages 1-36, January.
    52. 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.
    53. Jikai Jin & Vasilis Syrgkanis, 2024. "Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation," Papers 2402.14264, arXiv.org, revised Mar 2024.
    54. Liu, Lin & Mukherjee, Rajarshi & Robins, James M., 2024. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    55. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    56. Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
    57. 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.
    58. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Jan 2025.
    59. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
    60. Stijn Vansteelandt & Oliver Dukes, 2022. "Authors' reply to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 729-739, July.
    61. Chunrong Ai & Yue Fang & Haitian Xie, 2024. "Data-driven Policy Learning for Continuous Treatments," Papers 2402.02535, arXiv.org, revised Nov 2024.
    62. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
    63. Yukang Jiang & Xueqin Wang & Zhixi Xiong & Haisheng Yang & Ting Tian, 2022. "Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model," Papers 2209.05998, arXiv.org.
    64. Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2024. "The boosted Hodrick‐Prescott filter is more general than you might think," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1260-1281, November.
    65. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    66. Johann Pfitzinger, 2021. "An Interpretable Neural Network for Parameter Inference," Papers 2106.05536, arXiv.org.
    67. Yikun Zhang & Yen-Chi Chen, 2025. "Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments," Papers 2501.06969, arXiv.org.
    68. Lin Liu & Chang Li, 2023. "New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators," Papers 2302.08097, arXiv.org.
    69. Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2020. "Neural Network Models for Empirical Finance," JRFM, MDPI, vol. 13(11), pages 1-22, October.
    70. Dylan J. Foster & Vasilis Syrgkanis, 2019. "Orthogonal Statistical Learning," Papers 1901.09036, arXiv.org, revised Jun 2023.
    71. Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021. "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers 2110.04365, arXiv.org, revised Dec 2022.
    72. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    73. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Retail Fashion," Papers 2405.10498, arXiv.org.
    74. Anna Baiardi & Andrea A Naghi, 2024. "The value added of machine learning to causal inference: evidence from revisited studies," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 213-234.
    75. Nan Liu & Yanbo Liu & Yuya Sasaki, 2024. "Estimation and Inference for Causal Functions with Multiway Clustered Data," Papers 2409.06654, arXiv.org.
    76. Tommaso Manfè & Luca Nunziata, 2023. "Difference-In-Difference Design With Repeated Cross-Sections Under Compositional Changes: a Monte-Carlo Evaluation of Alternative Approaches," "Marco Fanno" Working Papers 0305, Dipartimento di Scienze Economiche "Marco Fanno".
    77. Victor Quintas-Martinez, 2022. "Finite-Sample Guarantees for High-Dimensional DML," Papers 2206.07386, arXiv.org.
    78. Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.
    79. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.
    80. Zhou, Yunzhe & Shi, Chengchun & Li, Lexin & Yao, Qiwei, 2023. "Testing for the Markov property in time series via deep conditional generative learning," LSE Research Online Documents on Economics 119352, London School of Economics and Political Science, LSE Library.
    81. Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks," Monash Econometrics and Business Statistics Working Papers 21/23, Monash University, Department of Econometrics and Business Statistics.
    82. Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.
    83. Christoph Breunig & Ruixuan Liu & Zhengfei Yu, 2022. "Double Robust Bayesian Inference on Average Treatment Effects," Papers 2211.16298, arXiv.org, revised Feb 2025.
    84. Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.

  7. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.

    Cited by:

    1. Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
    2. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    3. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
    4. Butts, Kyle, 2023. "JUE Insight: Difference-in-differences with geocoded microdata," Journal of Urban Economics, Elsevier, vol. 133(C).

  8. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocio Titiunik, 2018. "Regression Discontinuity Designs Using Covariates," Papers 1809.03904, arXiv.org.

    Cited by:

    1. Chuard, Caroline, 2020. "Womb at work: The missing impact of maternal employment on newborn health," Journal of Health Economics, Elsevier, vol. 73(C).
    2. Akbulut-Yuksel, Mevlude & Boulatoff, Catherine, 2020. "The Effects of a Green Nudge on Municipal Solid Waste: Evidence from a Clear Bag Policy," IZA Discussion Papers 13925, Institute of Labor Economics (IZA).
    3. Cerqua, Augusto & Zampollo, Federico, 2021. "Deeds or words? The local influence of anti-immigrant parties on foreigners’ flows in Italy," GLO Discussion Paper Series 876, Global Labor Organization (GLO).
    4. Vincent Pons & Clémence Tricaud, 2018. "Expressive Voting and Its Cost: Evidence From Runoffs With Two or Three Candidates," Econometrica, Econometric Society, vol. 86(5), pages 1621-1649, September.
    5. Neal, Timothy, 2024. "Estimating the effectiveness of forest protection using regression discontinuity," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    6. de Roux, Nicolás & Riehl, Evan, 2022. "Do college students benefit from placement into higher-achieving classes?," Journal of Public Economics, Elsevier, vol. 210(C).
    7. 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.
    8. Aspasia Bizopoulou & Rigissa Megalokonomou & Stefania Simion, 2022. "Do Second Chances Pay Off? Evidence from a Natural Experiment with Low-Achieving Students," CESifo Working Paper Series 9620, CESifo.
    9. Baldomero-Quintana, Luis & Woo-Mora, L. Guillermo & De la Rosa-Ramos, Enrique, 2025. "Infrastructures of race? Colonial indigenous segregation and contemporary land values," Regional Science and Urban Economics, Elsevier, vol. 110(C).
    10. Tianshu Chu & Qiang Wen, 2019. "Does College Education Promote Entrepreneurship in China?," Journal of Labor Research, Springer, vol. 40(4), pages 463-486, December.
    11. Vincenzo Mollisi & Federico Boffa & Giacomo A.M. Ponzetto, 2023. "Do Incompetent Politicians Breed Populist Voters? Evidence from Italian Municipalities," Working Papers 1388, Barcelona School of Economics.
    12. Luca Bellodi & Massimo Morelli & Matia Vannoni, 2021. "A Costly Commitment: Populism, Government Performance, and the Quality of Bureaucracy," CESifo Working Paper Series 9470, CESifo.
    13. Kyyrä, Tomi & Pesola, Hanna Onerva, 2017. "Long-Term Effects of Extended Unemployment Benefits for Older Workers," IZA Discussion Papers 10839, Institute of Labor Economics (IZA).
    14. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2020. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Working Papers 638, Princeton University, Department of Economics, Industrial Relations Section..
    15. Makkar, Karan, 2023. "Defector Politicians and Economic Growth: Evidence from India," European Journal of Political Economy, Elsevier, vol. 79(C).
    16. Joshua D. Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," Working Papers 2020-186, Becker Friedman Institute for Research In Economics.
    17. Grogan, Louise & Summerfield, Fraser, 2018. "Government Transfers, Work and Wellbeing: Evidence from the Russian Old-Age Pension," IZA Discussion Papers 11961, Institute of Labor Economics (IZA).
    18. Travis Campbell & Yana van der Meulen Rodgers, 2022. "Health insurance coverage and health outcomes among transgender adults in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 973-992, June.
    19. Andreas Steinhauer, 2018. "Working Moms, Childlessness, and Female Identity," Working Papers hal-03475468, HAL.
    20. Christopher Neilson & Dejan Kovac, 2020. "O Brother, Where Start Thou? Sibling Spillovers on College and Major Choice in Four Countries," Working Papers 641, Princeton University, Department of Economics, Industrial Relations Section..
    21. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
    22. 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.
    23. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    24. David M. Brasington, 2024. "Population growth in growing and declining cities: the role of balanced-budget increases in local government spending," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(3), pages 873-895, October.
    25. Xu, Minggang & Zhang, Xueyong & Zhang, Yeqing, 2024. "Margin trading, short selling, and information asymmetry," Journal of Financial Markets, Elsevier, vol. 70(C).
    26. Pastore, Chiara & Jones, Andrew M., 2023. "Human capital consequences of missing out on a grammar school education," Economic Modelling, Elsevier, vol. 126(C).
    27. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.
    28. Christoph Koenig & Letizia Borgomeo & Martina Miotto, 2024. "The Long-Run Effects of R&D Subsidies on High-Tech Start-Ups: Insights From Italy," CEIS Research Paper 585, Tor Vergata University, CEIS, revised 12 Nov 2024.
    29. Toledo, Katia & Alvarado, Alfredo, 2023. "Tackling BEPS in the Global South: Evidence from Peru’s tax reform," Economic Systems, Elsevier, vol. 47(3).
    30. Kyyrä, Tomi & Pesola, Hanna, 2016. "The effects of UI benefits on unemployment and subsequent outcomes: Evidence from a kinked benefit rule," Working Papers 82, VATT Institute for Economic Research.
    31. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    32. Cappelletti, Matilde & Giuffrida, Leonardo M., 2021. "Procuring survival," ZEW Discussion Papers 21-093, ZEW - Leibniz Centre for European Economic Research.
    33. Nathan Kettlewell & Peter Siminski, 2022. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," Papers 2212.04043, arXiv.org.
    34. Jean-Sauveur Ay & Julie Le Gallo, 2021. "The signaling value of nested wine names," Post-Print hal-03268014, HAL.
    35. Krämer, Marion & Kumar, Santosh & Vollmer, Sebastian, 2021. "Anemia, Diet, and Cognitive Development: Impact of Health Information on Diet Quality and Child Nutrition in Rural India," IZA Discussion Papers 14197, Institute of Labor Economics (IZA).
    36. Giommoni, Tommaso, 2024. "A fistful of dollars: Rent seeking behaviour and local tax manipulation," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 453-469.
    37. Adrien Montalbo, 2019. "Education and economic development. The influence of primary schooling on municipalities in nineteenth-century France," PSE Working Papers halshs-02286126, HAL.
    38. Quinckhardt, Matthias, 2023. "The value of a party: Local politics and the allocation of intergovernmental transfers," European Journal of Political Economy, Elsevier, vol. 80(C).
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    191. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    192. Juan Diaz & Nicolas Grau & Tatiana Reyes & Jorge Rivera, 2021. "The Impact of Grade Retention on Juvenile Crime," Working Papers wp513, University of Chile, Department of Economics.
    193. Unbreen Qayyum & Neelum Nigar, 2024. "Analysing the impact of idiosyncratic and covariate shocks on households’ food and non-food consumption: empirical evidence from Benazir Income Support Program," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23937-23960, September.
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    197. Lucas, David S., 2024. "The effect of regime change on entrepreneurship: A real options approach with evidence from US gubernatorial elections," Journal of Business Venturing, Elsevier, vol. 39(4).
    198. Carolina Caetano & Gregorio Caetano & Juan Carlos Escanciano, 2023. "Regression discontinuity design with multivalued treatments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 840-856, September.
    199. Pedron, Sara & Maier, Werner & Peters, Annette & Linkohr, Birgit & Meisinger, Christine & Rathmann, Wolfgang & Eibich, Peter & Schwettmann, Lars, 2020. "The effect of retirement on biomedical and behavioral risk factors for cardiovascular and metabolic disease," Economics & Human Biology, Elsevier, vol. 38(C).
    200. Bizopoulou, Aspasia & Megalokonomou, Rigissa & Simion, Ştefania, 2024. "Do second chances pay off? Evidence from a natural experiment with low-achieving students," Journal of Public Economics, Elsevier, vol. 239(C).
    201. 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.
    202. Lodefalk, Magnus & Tangz Sofia Tano, Aili & Agarwal, Natasha & Wang, Zheng, 2018. "Mitigating Information Frictions in Trade: Evidence from Export Credit Guarantees," Ratio Working Papers 316, The Ratio Institute, revised 23 Apr 2021.
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    204. Samuel Lordemus, 2022. "Does Aid for Malaria Increase with Exposure to Malaria Risk? Evidence from Mining Sites in the D.R.Congo," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 719-748, August.
    205. Caro, Juan Carlos, 2020. "Parental investments, socioemotional development and nutritional health in Chile," MPRA Paper 98867, University Library of Munich, Germany.
    206. Anna Harvey, 2020. "Applying regression discontinuity designs to American political development," Public Choice, Springer, vol. 185(3), pages 377-399, December.
    207. Bratu, Cristina & Martén, Linna & Ottosson, Lillit, 2023. "Individualized Benefits and Access to Active Labor Market Programs Boost Refugee Women’s Economic Integration," Working Paper Series 3/2023, Stockholm University, Swedish Institute for Social Research, revised 07 Aug 2024.
    208. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2023. "Replication: Do Coaches Stick With What Barely Worked? Evidence of Outcome Bias in Professional Sports," Working Papers 400, University of Zurich, Department of Business Administration (IBW).
    209. Oliveira, Rodrigo & Motté, Henrique & Santos, Alei, 2023. "Do disadvantaged students benefit from attending classes with more skilled colleagues? Evidence from a top university in Brazil," Labour Economics, Elsevier, vol. 85(C).
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    212. Eréndira León Bravo, 2022. "Three essays on education, wages, and the labour market in Mexico," Economics PhD Theses 0322, Department of Economics, University of Sussex Business School.
    213. Carlos Di Bonifacio & Guido Merzoni & Federico Trombetta, 2024. "Incumbency Effect in Competitive Autocracies: evidence from Venezuela," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2402, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
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    218. Cerqua, Augusto & Pellegrini, Guido, 2022. "Decomposing the employment effects of investment subsidies," Journal of Urban Economics, Elsevier, vol. 128(C).
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    2. Brewer, Mike & Cattan, Sarah & Crawford, Claire & Rabe, Birgitta, 2022. "Does more free childcare help parents work more?," Labour Economics, Elsevier, vol. 74(C).
    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. Luis Sarmiento & Nicole Wägner & Aleksandar Zaklan, 2021. "Effectiveness, Spillovers, and Well-Being Effects of Driving Restriction Policies," Discussion Papers of DIW Berlin 1947, DIW Berlin, German Institute for Economic Research.
    5. Christina Korting & Carl Lieberman & Jordan Matsudaira & Zhuan Pei & Yi Shen, 2020. "Visual Inference and Graphical Representation in Regression Discontinuity Designs," Working Papers 638, Princeton University, Department of Economics, Industrial Relations Section..
    6. Tao Lin & Wenhao Qian & Hongwei Wang & Yu Feng, 2022. "Air Pollution and Workplace Choice: Evidence from China," IJERPH, MDPI, vol. 19(14), pages 1-23, July.
    7. Simon Briole & Augustin Colette & Emmanuelle Lavaine, 2023. "The Heterogeneous Effects of Lockdown Policies on Air Pollution," Post-Print hal-04217143, HAL.
    8. Cramer, Kim Fe, 2023. "Bank presence and health," LSE Research Online Documents on Economics 119194, London School of Economics and Political Science, LSE Library.
    9. Ruchi Avtar & Rajashri Chakrabarti & Lindsay Meyerson & William Nober & Maxim L. Pinkovskiy, 2020. "The Affordable Care Act and the COVID-19 Pandemic: A Regression Discontinuity Analysis," Staff Reports 948, Federal Reserve Bank of New York.
    10. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    11. Shamsuddin, Mrittika & Acosta, Pablo A. & Schwengber, Rovane Battaglin & Fix, Jedediah & Pirani, Nikolas, 2022. "The Labor Market Impacts of Venezuelan Refugees and Migrants in Brazil," IZA Discussion Papers 15384, Institute of Labor Economics (IZA).
    12. Mario Carillo & Gemma Dipoppa & Shanker Satyanath, 2023. "Fascist ideology and migrant labor exploitation," Economics Working Papers 1865, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Jonas Jessen & Daniel Kuehnle & Markus Wagner, 2021. "Is Voting Really Habit-Forming and Transformative? Long-Run Effects of Earlier Eligibility on Turnout and Political Involvement from the UK," Discussion Papers of DIW Berlin 1973, DIW Berlin, German Institute for Economic Research.
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    22. Takaku, Reo & Yokoyama, Izumi, 2021. "What the COVID-19 school closure left in its wake: Evidence from a regression discontinuity analysis in Japan," Journal of Public Economics, Elsevier, vol. 195(C).
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    39. 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).
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    42. Bruno Caprettini & Lorenzo Casaburi & Miriam Venturini, 2023. "Harvesting Votes: The Electoral Effects of the Italian Land Reform," Working Papers 202408, University of California at Riverside, Department of Economics.
    43. de Gendre, Alexandra & Lynch, John & Meunier, Aurélie & Pilkington, Rhiannon & Schurer, Stefanie, 2021. "Child Health and Parental Responses to an Unconditional Cash Transfer at Birth," IZA Discussion Papers 14693, Institute of Labor Economics (IZA).
    44. Mohamed Ebeid & Umut Oguzoglu, 2023. "Short‐term effect of retirement on health: Evidence from nonparametric fuzzy regression discontinuity design," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1323-1343, June.
    45. Sefa Awaworyi Churchill & Nasir Iqbal & Saima Nawaz & Siew Ling Yew, 2024. "Do unconditional cash transfers increase fertility? Lessons from a large‐scale program," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 74-96, January.
    46. Gabriel Loumeau, 2022. "Land Consolidation Reforms: A Natural Experiment on the Economic and Political Effects of Agricultural Mechanization," CER-ETH Economics working paper series 22/376, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
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    49. 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.
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    71. Basaglia, Piero & Isaksen, Elisabeth & Sato, Misato, 2024. "Carbon pricing, compensation and competitiveness: lessons from UK manufacturing," LSE Research Online Documents on Economics 122364, London School of Economics and Political Science, LSE Library.
    72. Alex Albright, 2024. "The Hidden Effects of Algorithmic Recommendations," Opportunity and Inclusive Growth Institute Working Papers 104, Federal Reserve Bank of Minneapolis.
    73. Tommaso Giommoni & Gabriel Loumeau, 2022. "Taxation with a Grain of Salt: The Long-Term Effect of Fiscal Policy on Local Development," CESifo Working Paper Series 9997, CESifo.
    74. Bonander, Carl & Chauca Strand, Gabriella & Jakobsson, Niklas, 2023. "Direct replication and additional sensitivity analyses for Altindag et al. (2022): A replication report from the Oslo Replication Games," I4R Discussion Paper Series 16, The Institute for Replication (I4R).
    75. Shamsuddin,Mrittika & Acosta,Pablo Ariel & Battaglin Schwengber,Rovane & Fix,Jedediah Rooney & Pirani,Nikolas, 2021. "Economic and Fiscal Impacts of Venezuelan Refugees and Migrants in Brazil," Policy Research Working Paper Series 9797, The World Bank.
    76. Diop, Thierno Bocar & Védrine, Lionel, 2025. "Did crop diversity criterion from CAP green payments affect both economic and environmental farm performances? Quasi-experimental evidence from France," Ecological Economics, Elsevier, vol. 227(C).
    77. Dragan Filipovich & Miguel Niño-Zarazúa & Alma Santillán Hernández, 2021. "Voter coercion and pro-poor redistribution in rural Mexico," WIDER Working Paper Series wp-2021-141, World Institute for Development Economic Research (UNU-WIDER).
    78. Katharina Brütt & Huaiping Yuan, 2022. "Pitfalls of pay transparency: Evidence from the lab and the field," Tinbergen Institute Discussion Papers 22-055/I, Tinbergen Institute.
    79. Vincenzo Alfano & Lorenzo Cicatiello & Giuseppe Lucio Gaeta & Michele Gallo & Francesca Rotondo, 2021. "Three is a Magic Number: Evidence on the Effects of the Application of the Three-Point Rule in Italy’s Serie A," Journal of Sports Economics, , vol. 22(3), pages 329-356, April.
    80. Francesco Angelini & Paolo Figini & Veronica Leoni, 2024. "High tide, low price? Flooding alerts and hotel prices in Venice," Tourism Economics, , vol. 30(4), pages 876-899, June.
    81. Clarke, Damian & Bustos, Nicolás Lillo & Schythe, Kathya Tapia, 2022. "Estimating Inter-Generational Returns to Medical Care: New Evidence from At­-Risk Newborns," IZA Discussion Papers 15593, Institute of Labor Economics (IZA).
    82. Marko Köthenbürger & Gabriel Loumeau, 2023. "Tax Responses in Local Public Finance: The Flypaper Effect at Work," CESifo Working Paper Series 10354, CESifo.
    83. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    84. Linden, Mikael, 2023. "Retirement Age Trap: RDD Approach to Terminated Retirement Spells," MPRA Paper 119168, University Library of Munich, Germany.
    85. Sager, Lutz & Singer, Gregor, 2023. "Clean identification? The effects of the Clean Air Act on air pollution, exposure disparities and house prices," LSE Research Online Documents on Economics 115528, London School of Economics and Political Science, LSE Library.
    86. Shreya Biswas & Upasak Das & Sandhya Garg, 2024. "Growing with greener pastures: Examining the role of graduate politicians on forest cover in India," IEG Working Papers 463, Institute of Economic Growth.
    87. Zhang, Kexin, 2023. "The long-term impact of higher education: Evidence from the Gaokao reinstatement in China," Economics of Education Review, Elsevier, vol. 97(C).
    88. 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.
    89. Diogo G. C. Britto & Gianmarco Daniele & Marco Le Moglie & Paolo Pinotti & Breno Sampaio, 2024. "A Few Bad Apples? Criminal Charges, Political Careers, and Policy Outcomes," CESifo Working Paper Series 11382, CESifo.
    90. Drake, Coleman & Anderson, David & Cai, Sih-Ting & Sacks, Daniel W., 2023. "Financial transaction costs reduce benefit take-up evidence from zero-premium health insurance plans in Colorado," Journal of Health Economics, Elsevier, vol. 89(C).
    91. Hiesinger, Karolin, 2022. "Cost of Inclusion? Intended and Non-intended Effects of the Employment Quota for Workers with Disabilities," VfS Annual Conference 2022 (Basel): Big Data in Economics 264026, Verein für Socialpolitik / German Economic Association.
    92. Weibing Li & Kaixia Zhang, 2019. "Does Air Pollution Crowd Out Foreign Direct Investment Inflows? Evidence from a Quasi-natural Experiment in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1387-1414, August.
    93. Lena Abou El-Komboz & Anna Kerkhof & Johannes Loh, 2023. "Platform Partnership Programs and Content Supply: Evidence from the YouTube “Adpocalypse”," CESifo Working Paper Series 10363, CESifo.
    94. Jaakko Meriläinen & Janne Tukiainen, 2021. "The Advantage of Incumbents in Coalitional Bargaining," Discussion Papers 137, Aboa Centre for Economics.
    95. Jun Ma & Zhengfei Yu, 2020. "Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs," Papers 2008.09263, arXiv.org, revised May 2024.
    96. Gałecka-Burdziak, Ewa & Jessen, Jonas & Jessen, Robin & Johnston, Andrew, 2024. "Moral Hazard among the Employed: Evidence from Regression Discontinuity," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302445, Verein für Socialpolitik / German Economic Association.
    97. Lange, Martin & Schmidt, Alexander, 2023. "High-profile crime and perceived public safety: Evidence from Cologne's new year's eve in 2015," ZEW Discussion Papers 23-068, ZEW - Leibniz Centre for European Economic Research.
    98. Awaworyi Churchill, Sefa & Iqbal, Nasir & Nawaz, Saima & Yew, Siew Ling, 2024. "Unconditional cash transfers, health and savings," Economics & Human Biology, Elsevier, vol. 53(C).
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    100. Ann-Marie Sommerfeld, 2024. "The Effect of Schooling on Parental Integration," CESifo Working Paper Series 11582, CESifo.
    101. Thierno Bocar Diop & Lionel Védrine, 2024. "Did crop diversity criterion from CAP green payments affect both economic and environmental farm performances? Quasi-experimental evidence from France," Post-Print hal-04739921, HAL.
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    104. Gemma Dipoppa & Shanker Satyanath, 2023. "Fascist Ideology and Migrant Labor Exploitation," Working Papers 1395, Barcelona School of Economics.
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  10. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2018. "Characteristic-Sorted Portfolios: Estimation and Inference," Papers 1809.03584, arXiv.org, revised Oct 2019.

    Cited by:

    1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On binscatter," Staff Reports 881, Federal Reserve Bank of New York.
    2. Matias Cattaneo & Richard K. Crump & Weining Wang, 2024. "Beta-sorted portfolios," CeMMAP working papers 20/24, Institute for Fiscal Studies.
    3. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    4. Jianyuan Zhong & Zhijian Xu & Saizhuo Wang & Xiangyu Wen & Jian Guo & Qiang Xu, 2024. "DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction," Papers 2405.15833, arXiv.org.
    5. Ni, Xuanming & Zheng, Tiantian & Zhao, Huimin & Zhu, Shushang, 2023. "High-dimensional portfolio optimization based on tree-structured factor model," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    6. Calice, Giovanni & Lin, Ming-Tsung, 2024. "Sovereign momentum currency returns," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    7. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
    8. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    9. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.
    10. Christophe J. GODLEWSKI & Katarzyna BYRKA-KITA & Renata GOLA & Jacek CYPRYJANSKI, 2022. "Silence is not golden anymore? Social media activity and stock market valuation in Europe," Working Papers of LaRGE Research Center 2022-04, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    11. Yu, Xiufan & Yao, Jiawei & Xue, Lingzhou, 2024. "Power enhancement for testing multi-factor asset pricing models via Fisher’s method," Journal of Econometrics, Elsevier, vol. 239(2).
    12. Kim, Junyong, 2024. "Zoom in on momentum," International Review of Financial Analysis, Elsevier, vol. 94(C).

  11. 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.

    Cited by:

    1. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.

  12. 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.

    Cited by:

    1. Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
    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. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On binscatter," Staff Reports 881, Federal Reserve Bank of New York.
    4. Katja Maria Kaufmann & Yasemin Özdemir & Han Ye, 2022. "Spillover Effects of Old-Age Pension across Generations: Family Labor Supply and Child Outcomes," CESifo Working Paper Series 9813, CESifo.
    5. Luca Villamaina & Paolo Acciari, 2023. "Taxation and labour supply decisions: an evaluation of the earned income tax credit in Italy," Working Papers wp2023-20, Ministry of Economy and Finance, Department of Finance.
    6. Pasquini, Alessandra & Centra, Marco & Pellegrini, Guido, 2019. "Fighting long-term unemployment: Do we have the whole picture?," Labour Economics, Elsevier, vol. 61(C).
    7. Nathaly Rivera, 2019. "Air Quality Warnings and Temporary Driving Bans: Evidence from Air Pollution, Car Trips, and Mass-Transit Ridership in Santiago," Working Papers 2019-06, University of Alaska Anchorage, Department of Economics.
    8. 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.
    9. Massimo Bordignon & Matteo Gamalerio & Edoardo Slerca & Gilberto Turati, 2019. "Stop invasion! The electoral tipping point in anti-immigrant voting," Working Papers 2019/11, Institut d'Economia de Barcelona (IEB).
    10. Divakaruni, Anantha & Jones, Howard, 2021. "Disclosure, Firm Growth, and the JOBS Act," SocArXiv 3zumb, Center for Open Science.
    11. Diogo Britto & Stefano Fiorin, 2016. "Corruption and Legislature Size: Evidence from Brazil," DISCE - Working Papers del Dipartimento di Economia e Finanza def054, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    12. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    13. Tao Lin & Wenhao Qian & Hongwei Wang & Yu Feng, 2022. "Air Pollution and Workplace Choice: Evidence from China," IJERPH, MDPI, vol. 19(14), pages 1-23, July.
    14. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    15. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    16. 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.
    17. Deng, Taotao & Hu, Yukun & Ma, Mulan, 2019. "Regional policy and tourism: A quasi-natural experiment," Annals of Tourism Research, Elsevier, vol. 74(C), pages 1-16.
    18. Toledo, Katia & Alvarado, Alfredo, 2023. "Tackling BEPS in the Global South: Evidence from Peru’s tax reform," Economic Systems, Elsevier, vol. 47(3).
    19. De Benedetto, Marco Alberto & De Paola, Maria, 2019. "Term limit extension and electoral participation. Evidence from a diff-in-discontinuities design at the local level in Italy," European Journal of Political Economy, Elsevier, vol. 59(C), pages 196-211.
    20. Giommoni, Tommaso, 2024. "A fistful of dollars: Rent seeking behaviour and local tax manipulation," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 453-469.
    21. Onda, Masayuki & Seyler, Edward, 2020. "English learners reclassification and academic achievement: Evidence from Minnesota," Economics of Education Review, Elsevier, vol. 79(C).
    22. Khoury, Laura & Briole, Simon & Brébion , Clément, 2020. "Entitled to Leave: the impact of Unenployment Insurance Eligibility on Employment Duration and Job Quality," Discussion Paper Series in Economics 1/2020, Norwegian School of Economics, Department of Economics.
    23. Leandro De Magalhaes & Dominik Hangartner & Salomo Hirvonen & Jaakko Meriläinen & Nelson A. Ruiz, 2020. "How Much Should We Trust Regression Discontinuity Design Estimates? Evidence from Experimental Benchmarks of the Incumbency Advantage," Discussion Papers 135, Aboa Centre for Economics.
    24. Martínez-Correa, Jimmy & Andersen, Steffen & d’Astous, Philippe & H. Shore, Stephen, 2020. "Cross-Program Differences in Returns to Education and the Gender Earnings Gap," Working papers 48, Red Investigadores de Economía.
    25. Zhan, Zhaoguo, 2020. "Does Extending Unemployment Benefits Improve Job Quality? Comment," MPRA Paper 102722, University Library of Munich, Germany.
    26. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    27. 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.
    28. Takaku, Reo & Yokoyama, Izumi, 2021. "What the COVID-19 school closure left in its wake: Evidence from a regression discontinuity analysis in Japan," Journal of Public Economics, Elsevier, vol. 195(C).
    29. Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2023. "Bandwidth selection for nonparametric regression with errors-in-variables," LSE Research Online Documents on Economics 115551, London School of Economics and Political Science, LSE Library.
    30. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    31. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    32. Augusto Cerqua & Guido Pellegrini & Ornella Tarola, 2022. "Can regional policies shape migration flows?," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 515-536, June.
    33. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    34. Persson, Petra & Rossin-Slater, Maya, 2019. "When Dad Can Stay Home: Fathers’ Workplace Flexibility and Maternal Health," Working Paper Series 1284, Research Institute of Industrial Economics.
    35. Jaakko Meriläinen & Janne Tukiainen, 2018. "Rank effects in political promotions," Public Choice, Springer, vol. 177(1), pages 87-109, October.
    36. Yoici Arai & Taisuke Otsu & Myung Hwan Seo, 2022. "Regression discontinuity design with potentially many covariates," STICERD - Econometrics Paper Series 626, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    37. Ongena, Steven & Delis, Manthos & Fringuellotti, Fulvia, 2019. "Credit and Income," CEPR Discussion Papers 13468, C.E.P.R. Discussion Papers.
    38. Niklas Potrafke & Felix Roesel, 2020. "The urban–rural gap in healthcare infrastructure: does government ideology matter?," Regional Studies, Taylor & Francis Journals, vol. 54(3), pages 340-351, March.
    39. Alperovych, Yan & Divakaruni, Anantha & Le Grand, François, 2022. "FinTech Lending under Austerity," SocArXiv atsk9, Center for Open Science.
    40. Cl'ement de Chaisemartin & Diego Ciccia Xavier D'Haultf{oe}uille & Felix Knau, 2024. "Two-way Fixed Effects and Differences-in-Differences Estimators in Heterogeneous Adoption Designs," Papers 2405.04465, arXiv.org, revised Nov 2024.
    41. Balila Acurio & Alessandro Tomarchio, 2024. "The Effects of Business Credit Support Programs: Evidence from a Regression Discontinuity Design," IHEID Working Papers 20-2024, Economics Section, The Graduate Institute of International Studies.
    42. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2023. "A Guide to Regression Discontinuity Designs in Medical Applications," Papers 2302.07413, arXiv.org, revised May 2023.
    43. Cattaneo, Matias D. & Jansson, Michael & Ma, Xinwei, 2024. "Local regression distribution estimators," Journal of Econometrics, Elsevier, vol. 240(2).
    44. Di Giacomo, M. & Piacenza, M. & Siciliani, L. & Turati, G., 2020. "The Effect of Co-Payments on the Take-Up of Prenatal Tests," Health, Econometrics and Data Group (HEDG) Working Papers 20/19, HEDG, c/o Department of Economics, University of York.
    45. Aslim, Erkmen Giray, 2022. "Public health insurance and employment transitions," Labour Economics, Elsevier, vol. 75(C).
    46. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    47. 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.
    48. van den Berg, Gerard. J. & Janys, Lena & Mammen, Enno & Nielsen, Jens Perch, 2021. "A general semiparametric approach to inference with marker-dependent hazard rate models," Journal of Econometrics, Elsevier, vol. 221(1), pages 43-67.
    49. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    50. De Benedetto, Marco Alberto & De Paola, Maria & Scoppa, Vincenzo & Smirnova, Janna, 2022. "The Long-Run Effects of College Remedial Education," IZA Discussion Papers 15082, Institute of Labor Economics (IZA).
    51. Divakaruni, Anantha & Alperovych, Yan & Le Grand, François, 2022. "FinTech Lending under Austerity," OSF Preprints m4tps_v1, Center for Open Science.
    52. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    53. de Gendre, Alexandra & Lynch, John & Meunier, Aurélie & Pilkington, Rhiannon & Schurer, Stefanie, 2021. "Child Health and Parental Responses to an Unconditional Cash Transfer at Birth," IZA Discussion Papers 14693, Institute of Labor Economics (IZA).
    54. Mohamed Ebeid & Umut Oguzoglu, 2023. "Short‐term effect of retirement on health: Evidence from nonparametric fuzzy regression discontinuity design," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1323-1343, June.
    55. Sefa Awaworyi Churchill & Nasir Iqbal & Saima Nawaz & Siew Ling Yew, 2024. "Do unconditional cash transfers increase fertility? Lessons from a large‐scale program," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 74-96, January.
    56. Ponzo, Michela & Scoppa, Vincenzo, 2023. "Famous after death: The effect of a writer's death on book sales," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 210-225.
    57. 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.
    58. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2019. "lpdensity: Local Polynomial Density Estimation and Inference," Papers 1906.06529, arXiv.org, revised Feb 2021.
    59. Gozde Corekcioglu & Marco Francesconi & Astrid Kunze, 2020. "Do Generous Parental Leave Policies Help Top Female Earners?," CESifo Working Paper Series 8330, CESifo.
    60. Persson, Petra & Rossin-Slater, Maya, 2019. "When Dad Can Stay Home: Fathers’ Workplace Flexibility and Maternal Health," CEPR Discussion Papers 13780, C.E.P.R. Discussion Papers.
    61. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    62. Bartnicki, Sławomir & Alimowski, Maciej & Górecki, Maciej A., 2022. "The anomalous electoral advantage: Evidence from over 17,000 mayoral candidacies in Poland," European Journal of Political Economy, Elsevier, vol. 72(C).
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Articles

  1. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2021. "Deep Neural Networks for Estimation and Inference," Econometrica, Econometric Society, vol. 89(1), pages 181-213, January.
    See citations under working paper version above.
  2. 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.
    See citations under working paper version above.
  3. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    See citations under working paper version above.
  4. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    See citations under working paper version above.
  5. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    See citations under working paper version above.
  6. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LLC, vol. 17(2), pages 372-404, June.

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    6. Cahuc, Pierre & Carry, Pauline & Malherbet, Franck & Martins, Pedro S., 2022. "Employment Effects of Restricting Fixed-Term Contracts: Theory and Evidence," IZA Discussion Papers 14999, Institute of Labor Economics (IZA).
    7. Yörük, Baris, 2022. "Does Public Policy Affect Attitudes? Evidence from Age-Based Health Insurance Coverage Policies in the United States," IZA Discussion Papers 15346, Institute of Labor Economics (IZA).
    8. Nathaly Rivera, 2019. "Air Quality Warnings and Temporary Driving Bans: Evidence from Air Pollution, Car Trips, and Mass-Transit Ridership in Santiago," Working Papers 2019-06, University of Alaska Anchorage, Department of Economics.
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  7. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    See citations under working paper version above.
  8. Cattaneo, Matias D. & Farrell, Max H., 2013. "Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators," Journal of Econometrics, Elsevier, vol. 174(2), pages 127-143.

    Cited by:

    1. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2013. "On the asymptotic theory for least squares series: pointwise and uniform results," CeMMAP working papers 73/13, Institute for Fiscal Studies.
    2. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative Asymptotics and the Partially Linear Model with Many Regressors," Papers 1505.08120, arXiv.org.
    3. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    4. Michael Jansson & Demian Pouzo, 2019. "Towards a general large sample theory for regularized estimators," CeMMAP working papers CWP63/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019. "Conditional quantile processes based on series or many regressors," Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
    6. Charlier, Isabelle & Paindaveine, Davy & Saracco, Jérôme, 2015. "Conditional quantile estimation based on optimal quantization: From theory to practice," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 20-39.
    7. Diego Gentile Passaro & Fuhito Kojima & Bobak Pakzad-Hurson, 2023. "Equal Pay for Similar Work," Papers 2306.17111, arXiv.org, revised Dec 2024.
    8. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2012. "Some New Asymptotic Theory for Least Squares Series: Pointwise and Uniform Results," Papers 1212.0442, arXiv.org, revised Jun 2015.
    9. Xiaohong Chen & Timothy Christensen, 2013. "Optimal Uniform Convergence Rates for Sieve Nonparametric Instrumental Variables Regression," Papers 1311.0412, arXiv.org.
    10. Bertille Antoine & Pascal Lavergne, 2020. "Identification-Robust Nonparametric Interference in a Linear IV Model," Discussion Papers dp20-03, Department of Economics, Simon Fraser University.
    11. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    12. Bertille Antoine & Pascal Lavergne, 2021. "Identifcation-Robust Nonparametric Inference in a Linear IV Model," Discussion Papers dp21-12, Department of Economics, Simon Fraser University.
    13. Kazuhiko Shinoda & Takahiro Hoshino, 2022. "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers 2212.13145, arXiv.org.
    14. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    15. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    16. Holland, Ashley D., 2017. "Penalized spline estimation in the partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 211-235.
    17. Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
    18. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators under Weak Dependence and Weak Conditions," Cowles Foundation Discussion Papers 1976, Cowles Foundation for Research in Economics, Yale University.
    19. Xiaohong Chen & Timothy M. Christensen, 2013. "Optimal uniform convergence rates for sieve nonparametric instrumental variables regression," CeMMAP working papers 56/13, Institute for Fiscal Studies.
    20. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    21. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    22. Fang Han, 2024. "An Introduction to Permutation Processes (version 0.5)," Papers 2407.09664, arXiv.org.
    23. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions," CeMMAP working papers 46/14, Institute for Fiscal Studies.
    24. Whitney K. Newey & James M. Robins, 2017. "Cross-fitting and fast remainder rates for semiparametric estimation," CeMMAP working papers CWP41/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Jan 2025.
    26. Matias D. Cattaneo & Fang Han & Zhexiao Lin, 2023. "On Rosenbaum's Rank-based Matching Estimator," Papers 2312.07683, arXiv.org, revised Jan 2024.
    27. Whitney K. Newey & James M. Robins, 2017. "Cross-fitting and fast remainder rates for semiparametric estimation," CeMMAP working papers 41/17, Institute for Fiscal Studies.
    28. Jose Olmo, 2023. "A nonparametric predictive regression model using partitioning estimators based on Taylor expansions," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(3), pages 294-318, May.
    29. Mohlin , Erik, 2018. "Asymptotically Optimal Regression Trees," Working Papers 2018:12, Lund University, Department of Economics.

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