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Jinyong Hahn

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. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.

    Mentioned in:

    1. Sharp Regression Discontinuity Example and Limitations
      by Francis Smart in Econometrics by Simulation on 2012-08-22 19:00:00

Working papers

  1. Jinyong Hahn & Zhipeng Liao & Nan Liu & Shuyang Sheng, 2023. "Some Finite-Sample Results on the Hausman Test," Papers 2312.10558, arXiv.org.

    Cited by:

    1. Modan Yan & Haiyun Liu, 2024. "The Impact of Digital Trade Barriers on Technological Innovation Efficiency and Sustainable Development," Sustainability, MDPI, vol. 16(12), pages 1-19, June.

  2. Denis Chetverikov & Jinyong Hahn & Zhipeng Liao & Andres Santos, 2023. "Standard errors when a regressor is randomly assigned," Papers 2303.10306, arXiv.org.

    Cited by:

    1. Johannes W. Ligtenberg & Tiemen Woutersen, 2024. "Multidimensional clustering in judge designs," Papers 2406.09473, arXiv.org.
    2. Johannes W. Ligtenberg, 2023. "Inference in IV models with clustered dependence, many instruments and weak identification," Papers 2306.08559, arXiv.org, revised Mar 2024.

  3. Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2022. "Efficient Bias Correction for Cross-section and Panel Data," Papers 2207.09943, arXiv.org, revised Jan 2024.

    Cited by:

    1. Inoue, Atsushi & Jordà , Òscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.

  4. Jinyong Hahn & Jerry Hausman & Josh Lustig, 2017. "Specification test on mixed logit models," CeMMAP working papers 58/17, Institute for Fiscal Studies.

    Cited by:

    1. Richard T. Carson & Derrick H. Sun & Yixiao Sun, 2024. "Random Utility Models with Skewed Random Components: the Smallest versus Largest Extreme Value Distribution," Papers 2405.08222, arXiv.org, revised May 2024.
    2. Ji, Pengfei & Wei, Lei, 2023. "Hedging with derivatives to increase firm value," Finance Research Letters, Elsevier, vol. 55(PB).

  5. 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.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Younes Ben Zaied & Béchir Ben Lahouel, 2021. "Does environmental CSR performance matter for corporate financial performance? Evidence from panel quantile regression," Economics Bulletin, AccessEcon, vol. 41(3), pages 938-951.
    3. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    4. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    5. Fateh Belaïd & Ahmed Elsayed & Anis Omri, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Post-Print hal-03272568, HAL.
    6. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    7. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    8. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org.
    9. 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.
    10. Fateh Belaid & Ahmed H. Elsayed, 2019. "What drives renewable energy production in MENA Region? Investigating the roles of political stability, governance and financial sector," Working Papers 1322, Economic Research Forum, revised 21 Aug 2019.
    11. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    12. Panagiotidis, Theodore & Printzis, Panagiotis, 2021. "Investment and uncertainty: Are large firms different from small ones?," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
    13. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    14. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    15. Yonggang Ji & Haifang Shi, 2020. "Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-34, October.
    16. Xiao, Zhijie & Xu, Lan, 2019. "What do mean impacts miss? Distributional effects of corporate diversification," Journal of Econometrics, Elsevier, vol. 213(1), pages 92-120.
    17. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    18. Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
    19. Lethiwe Nzama & Thanda Sithole & Sezer Bozkus Kahyaoglu, 2022. "The Impact of Government Effectiveness on Trade and Financial Openness: The Generalized Quantile Panel Regression Approach," JRFM, MDPI, vol. 16(1), pages 1-20, December.
    20. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    21. Jaepil Han, 2020. "Identifying the effects of technology transfer policy using a quantile regression: the case of South Korea," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1690-1717, December.
    22. Jennifer Betz & Maximilian Nagl & Daniel Rösch, 2022. "Credit line exposure at default modelling using Bayesian mixed effect quantile regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2035-2072, October.
    23. Sungwon Lee, 2020. "Nonparametric Identification and Estimation of Panel Quantile Models with Sample Selection," Working Papers 2012, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    24. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    25. Asfaw, Solomon & Pallante, Giacomo & Palma, Alessandro, 2020. "Distributional impacts of soil erosion on agricultural productivity and welfare in Malawi," Ecological Economics, Elsevier, vol. 177(C).

  6. Ruoyao Shi & Jinyong Hahn, 2016. "Synthetic Control and Inference," Working Papers 201802, University of California at Riverside, Department of Economics, revised Nov 2017.

    Cited by:

    1. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    2. Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
    3. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference in Differences," Working Papers wp2019_1907, CEMFI.
    4. Ferman, Bruno & Pinto, Cristine & Possebom, Vitor, 2017. "Cherry Picking with Synthetic Controls," MPRA Paper 78213, University Library of Munich, Germany.
    5. Yi‐Ting Chen, 2020. "A distributional synthetic control method for policy evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 505-525, August.
    6. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    7. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    8. Giovanni Peri & Derek Rury & Justin C. Wiltshire, 2024. "The Economic Impact of Migrants from Hurricane Maria," Journal of Human Resources, University of Wisconsin Press, vol. 59(6), pages 1795-1829.
    9. Born, Benjamin & Müller, Gernot & Schularick, Moritz & SedlÃ¡Ä ek, Petr, 2017. "The Costs of Economic Nationalism: Evidence from the Brexit Experiment," CEPR Discussion Papers 12454, C.E.P.R. Discussion Papers.
    10. 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.
    11. Chung, Bobby W., 2022. "The costs and potential benefits of occupational licensing: A case of real estate license reform," Labour Economics, Elsevier, vol. 76(C).
    12. Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Post-Print hal-03098058, HAL.
    13. Denis Fougère & Nicolas Jacquemet, 2019. "Causal Inference and Impact Evaluation," SciencePo Working papers Main hal-02866828, HAL.
    14. James Gaughan & Nils Gutacker & Katja Grasic & Noemi Kreif & Luigi Siciliani & Andrew Street, 2018. "Paying for Efficiency: Incentivising same-day discharges in the English NHS," Working Papers 157cherp, Centre for Health Economics, University of York.
    15. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    16. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    17. Benjamin Born & Gernot J. Müller & Moritz Schularick & Petr Sedláček, 2021. "The macroeconomic impact of Trump," Policy Studies, Taylor & Francis Journals, vol. 42(5-6), pages 580-591, November.
    18. Cordeiro Guerra, Susana & Lastra-Anadón, Carlos Xabel, 2019. "The quality-access tradeoff in decentralizing public services: Evidence from education in the OECD and Spain," Journal of Comparative Economics, Elsevier, vol. 47(2), pages 295-316.
    19. Fredriksen, Kaja & Runst, Petrik, 2018. "Are estimates of the "natural experiment" in the German crafts sector causal?," ifh Working Papers 16/2018, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    20. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    21. Christian Beer & Janine Maniora & Christiane Pott, 2023. "COVID-19 pandemic and capital markets: the role of government responses," Journal of Business Economics, Springer, vol. 93(1), pages 11-57, January.
    22. 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.
    23. Bruno Ferman & Gaute Torsvik & Kjell Vaage, 2023. "Skipping the doctor: evidence from a case with extended self-certification of paid sick leave," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 935-971, April.
    24. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    25. Chen, Qiang & Yan, Guanpeng, 2023. "A mixed placebo test for synthetic control method," Economics Letters, Elsevier, vol. 224(C).
    26. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    27. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    28. Wenyuan Hua & Zhihan Chen & Liangguo Luo, 2022. "The Effect of the Major-Grain-Producing-Areas Oriented Policy on Crop Production: Evidence from China," Land, MDPI, vol. 11(9), pages 1-28, August.
    29. Justin Wiltshire, 2021. "allsynth: Synthetic control bias-corrections utilities for Stata," 2021 Stata Conference 15, Stata Users Group.
    30. 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.
    31. Marina Dias & Demian Pouzo, 2021. "Inference for multi-valued heterogeneous treatment effects when the number of treated units is small," Papers 2105.10965, arXiv.org.
    32. Ahmed Hanifi, S.M. Manzoor & Menon, Nidhiya & Quisumbing, Agnes, 2022. "The impact of climate change on children's nutritional status in coastal Bangladesh," Social Science & Medicine, Elsevier, vol. 294(C).
    33. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.

  7. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers 12/15, Institute for Fiscal Studies.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Jorge E. Galán, 2020. "The benefits are at the tail: uncovering the impact of macroprudential policy on growth-at-risk," Working Papers 2007, Banco de España.
    3. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Pietro Santoleri, 2020. "Innovation and job creation in (high-growth) new firms," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(3), pages 731-756.
    5. 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.
    6. Borsati, Mattia & Nocera, Silvio & Percoco, Marco, 2022. "Questioning the spatial association between the initial spread of COVID-19 and transit usage in Italy," Research in Transportation Economics, Elsevier, vol. 95(C).
    7. Klayme, Tania & Gokmenoglu, Korhan K. & Rustamov, Bezhan, 2023. "Economic policy uncertainty, COVID-19 and corporate investment: Evidence from the gold mining industry," Resources Policy, Elsevier, vol. 85(PA).
    8. Roula Inglesi-Lotz & Anna Maria Oosthuizen & Sharifa Jumaniyazova & Bekhzod Kuziboev & Jie Liu, 2024. "Exploring the Impact of Women Governance on CO2 Emissions in the European Union and Central Asia," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 639-646, May.
    9. George S. Atsalakis & Elie Bouri & Fotios Pasiouras, 2021. "Natural disasters and economic growth: a quantile on quantile approach," Annals of Operations Research, Springer, vol. 306(1), pages 83-109, November.
    10. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    11. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    12. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    13. Kendo, Sandra & Tchakounte, Josephine, 2022. "The drivers of the financial integration of microfinance Institutions: Do financial development, agency costs and microfinance performance matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 128-142.
    14. Wei Feng & Yanrui Wu & Yue Fu, 2021. "Dialect Diversity and Foreign Direct Investment in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(2), pages 49-72, March.
    15. Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.
    16. Yanay Farja & Avi Tillman & Ori Zax, 2022. "The Gender Gap: Looking at the Entire Distribution," Journal of Interdisciplinary Economics, , vol. 34(1), pages 51-68, January.
    17. Sandra Kendo & Josephine Tchakounte, 2022. "The drivers of the financial integration of microfinance Institutions: Do financial development, agency costs and microfinance performance matter?," Post-Print hal-04529938, HAL.
    18. Kusiyah Kusiyah & Mansoor Mushtaq & Shabbir Ahmed & Ansar Abbas & Mochammad Fahlevi, 2024. "Impact of Urbanization on Environmental Eminence: Moderating Role of Renewable Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 244-257, March.

  8. Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2014. "Asymptotic efficiency of semiparametric two-step GMM," CeMMAP working papers 28/14, Institute for Fiscal Studies.

    Cited by:

    1. Karun Adusumilli & Dita Eckardt, 2019. "Temporal-Difference estimation of dynamic discrete choice models," Papers 1912.09509, arXiv.org, revised Dec 2022.
    2. Xiaohong Chen & Andres Santos, 2015. "Overidentification in Regular Models," Cowles Foundation Discussion Papers 1999, Cowles Foundation for Research in Economics, Yale University.
    3. 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.
    4. Sokbae Lee & Bernard Salani'e, 2020. "Treatment Effects with Targeting Instruments," Papers 2007.10432, arXiv.org, revised Dec 2024.
    5. Luis Alvarez & Ciro Biderman, 2023. "The learning effects of subsidies to bundled goods: a semiparametric approach," Papers 2311.01217, arXiv.org, revised Jun 2024.
    6. Xiaohong Chen & Yin Jia Jeff Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
    7. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    8. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022. "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
    9. Vanhems, Anne & Van Keilegom, Ingrid, 2013. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2013018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Working Papers tecipa-706, University of Toronto, Department of Economics.
    11. Haitian Xie, 2020. "Efficient and Robust Estimation of the Generalized LATE Model," Papers 2001.06746, arXiv.org, revised Feb 2022.
    12. Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
    13. Salanié, Bernard & Lee, Sokbae, 2020. "Filtered and Unfiltered Treatment Effects with Targeting Instruments," CEPR Discussion Papers 15092, C.E.P.R. Discussion Papers.
    14. Amandeep Singh & Ye Liu & Hema Yoganarasimhan, 2023. "Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets," Papers 2307.07090, arXiv.org, revised Feb 2024.
    15. Sung Jae Jun & Sokbae (Simon) Lee, 2022. "Identifying the effect of persuasion," CeMMAP working papers 24/22, Institute for Fiscal Studies.
    16. Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers 06/17, Institute for Fiscal Studies.
    17. Ruoyao Shi, 2022. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202211, University of California at Riverside, Department of Economics.
    18. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    19. Chen, Xiaohong & Hansen, Lars Peter & Hansen, Peter G., 2024. "Robust inference for moment condition models without rational expectations," Journal of Econometrics, Elsevier, vol. 243(1).
    20. Yusuke Narita & Shota Yasui & Kohei Yata, 2018. "Efficient Counterfactual Learning from Bandit Feedback," Cowles Foundation Discussion Papers 2155, Cowles Foundation for Research in Economics, Yale University.
    21. 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.
    22. Minji Bang & Wayne Yuan Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," Papers 2101.05847, arXiv.org, revised Jun 2022.
    23. Andrew Fleck & Edward Furman & Yang Shen, 2024. "Stochastic Loss Reserving: Dependence and Estimation," Papers 2410.14985, arXiv.org.
    24. Sung Jae Jun & Sokbae (Simon) Lee, 2024. "Learning the effect of persuasion via difference-in-differences," CeMMAP working papers 24/24, Institute for Fiscal Studies.
    25. Kai Quan Zhang & Hsing Hung Chen, 2017. "Environmental Performance and Financing Decisions Impact on Sustainable Financial Development of Chinese Environmental Protection Enterprises," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    26. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    27. Lee, Sungwon, 2023. "Efficient estimation of a triangular system of equations for quantile regression," Economics Letters, Elsevier, vol. 226(C).
    28. Liqiong Chen & Antonio F. Galvao & Suyong Song, 2021. "Quantile Regression with Generated Regressors," Econometrics, MDPI, vol. 9(2), pages 1-35, April.
    29. 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. Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2011. "A practical asymptotic variance estimator for two-step semiparametric estimators," CeMMAP working papers CWP22/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Wu, Ximing & Sickles, Robin, 2018. "Semiparametric estimation under shape constraints," Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
    2. Maican, Florin & Orth, Matilda, 2008. "Productivity Dynamics and the Role of “Big-Box” Entrants in Retailing," Working Papers in Economics 328, University of Gothenburg, Department of Economics.
    3. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    5. Victor Aguiar & Roberto Serrano, 2015. "Slutsky Matrix Norms and Revealed Preference Tests of Consumer Behaviour," Working Papers 2015-1, Brown University, Department of Economics.
    6. Victor Aguirregabiria & Arvind Magesan, "undated". "Soultion and Estimation of Dynamic Discrete Choice Structural Models Using Euler Equations," Working Papers 2016-32, Department of Economics, University of Calgary, revised 24 May 2016.
    7. Sokbae Lee & Bernard Salani'e, 2020. "Treatment Effects with Targeting Instruments," Papers 2007.10432, arXiv.org, revised Dec 2024.
    8. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2014. "Maximum score estimation with nonparametrically generated regressors," CeMMAP working papers CWP27/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Xiaohong Chen & Jinyong Hahn & Zhipeng Liao, 2012. "Asymptotic Efficiency of Semiparametric Two-step GMM," Cowles Foundation Discussion Papers 1880, Cowles Foundation for Research in Economics, Yale University.
    10. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    11. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
    12. Hong, Han & Mahajan, Aprajit & Nekipelov, Denis, 2015. "Extremum estimation and numerical derivatives," Journal of Econometrics, Elsevier, vol. 188(1), pages 250-263.
    13. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    14. Xiaohong Chen & Yin Jia Jeff Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
    15. Maican, Florin & Orth, Matilda, 2018. "Determinants of Economies of Scope in Retail," Working Paper Series 1247, Research Institute of Industrial Economics, revised 11 Jul 2020.
    16. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    17. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    18. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022. "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
    19. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    20. Frumento, Paolo & Bottai, Matteo, 2017. "An estimating equation for censored and truncated quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 53-63.
    21. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    22. Salanié, Bernard & Lee, Sokbae, 2020. "Filtered and Unfiltered Treatment Effects with Targeting Instruments," CEPR Discussion Papers 15092, C.E.P.R. Discussion Papers.
    23. Maican, Florin & Orth, Matilda, 2015. "A dynamic analysis of entry regulations and productivity in retail trade," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 67-80.
    24. Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers 06/17, Institute for Fiscal Studies.
    25. Kim Kyoo il & Petrin Amil, 2022. "A Generalized Non-Parametric Instrumental Variable-Control Function Approach to Estimation in Nonlinear Settings," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 91-125, January.
    26. Christoph Engel, 2019. "Estimating Heterogeneous Reactions to Experimental Treatments," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2019_01, Max Planck Institute for Research on Collective Goods.
    27. Maican, Florin & Orth, Matilda, 2021. "Entry Regulations and Product Variety in Retail," Working Papers in Economics 802, University of Gothenburg, Department of Economics.
    28. Chen, Xiaohong & Liao, Zhipeng, 2015. "Sieve semiparametric two-step GMM under weak dependence," Journal of Econometrics, Elsevier, vol. 189(1), pages 163-186.
    29. Huse, Cristian & Lucinda, Claudio & Cardoso, Andre Ribeiro, 2020. "Consumer response to energy label policies: Evidence from the Brazilian energy label program," Energy Policy, Elsevier, vol. 138(C).
    30. Serafin J. Grundl & Yu Zhu, 2015. "Identification and Estimation of Risk Aversion in First Price Auctions With Unobserved Auction Heterogeneity," Finance and Economics Discussion Series 2015-89, Board of Governors of the Federal Reserve System (U.S.).
    31. Armstrong, Timothy B. & Bertanha, Marinho & Hong, Han, 2014. "A fast resample method for parametric and semiparametric models," Journal of Econometrics, Elsevier, vol. 179(2), pages 128-133.
    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. Minji Bang & Wayne Yuan Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," Papers 2101.05847, arXiv.org, revised Jun 2022.
    34. Przemysław Jeziorski, 2014. "Estimation of cost efficiencies from mergers: application to US radio," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 816-846, December.
    35. Gupta, A, 2015. "Nonparametric specification testing via the trinity of tests," Economics Discussion Papers 23824, University of Essex, Department of Economics.
    36. Abadir, Karim M. & Distaso, Walter & Žikeš, Filip, 2014. "Design-free estimation of variance matrices," Journal of Econometrics, Elsevier, vol. 181(2), pages 165-180.
    37. Maican, Florin & Orth, Matilda, 2018. "Inventory Behavior, Demand, and Productivity in Retail," CEPR Discussion Papers 13308, C.E.P.R. Discussion Papers.
    38. Maican, Florin G., 2012. "From Boom to Bust and Back Again: A dynamic analysis of IT services," Working Papers in Economics 543, University of Gothenburg, Department of Economics.
    39. Patrick Bajari & Victor Chernozhukov & Han Hong & Denis Nekipelov, 2015. "Identification and Efficient Semiparametric Estimation of a Dynamic Discrete Game," NBER Working Papers 21125, National Bureau of Economic Research, Inc.
    40. Paolo Frumento & Matteo Bottai, 2017. "Parametric modeling of quantile regression coefficient functions with censored and truncated data," Biometrics, The International Biometric Society, vol. 73(4), pages 1179-1188, December.
    41. 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.

  10. Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2011. "Asymptotic Variance Estimator for Two-Step Semiparametric Estimators," Cowles Foundation Discussion Papers 1803, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Maican, Florin & Orth, Matilda, 2008. "Productivity Dynamics and the Role of “Big-Box” Entrants in Retailing," Working Papers in Economics 328, University of Gothenburg, Department of Economics.
    2. Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2011. "A practical asymptotic variance estimator for two-step semiparametric estimators," CeMMAP working papers CWP22/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Maican, Florin & Orth, Matilda, 2015. "A dynamic analysis of entry regulations and productivity in retail trade," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 67-80.
    4. Guofang Huang & Yingyao Hu, 2011. "Estimating production functions with robustness against errors in the proxy variables," CeMMAP working papers CWP35/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Armstrong, Timothy B. & Bertanha, Marinho & Hong, Han, 2014. "A fast resample method for parametric and semiparametric models," Journal of Econometrics, Elsevier, vol. 179(2), pages 128-133.
    6. Satimanon, Monthien & Lupi, Frank, 2010. "Comparison of Approaches to Estimating Demand for Payment for Environmental Services," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61288, Agricultural and Applied Economics Association.
    7. Patrick Bajari & Victor Chernozhukov & Han Hong & Denis Nekipelov, 2015. "Identification and Efficient Semiparametric Estimation of a Dynamic Discrete Game," NBER Working Papers 21125, National Bureau of Economic Research, Inc.

  11. Jinyong Hahn & Geert Ridder, 2010. "The asymptotic variance of semi-parametric estimators with generated regressors," CeMMAP working papers CWP23/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2011. "Semiparametric estimation with generated covariates," SFB 649 Discussion Papers 2011-064, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    3. Matsushita, Yukitoshi & Otsu, Taisuke, 2020. "Likelihood inference on semiparametric models with generated regressors," LSE Research Online Documents on Economics 102696, London School of Economics and Political Science, LSE Library.
    4. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. 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.
    6. Guido Imbens, 2014. "Matching Methods in Practice: Three Examples," NBER Working Papers 19959, National Bureau of Economic Research, Inc.
    7. Hahn, Jinyong & Ridder, Geert, 2019. "Three-stage semi-parametric inference: Control variables and differentiability," Journal of Econometrics, Elsevier, vol. 211(1), pages 262-293.
    8. Julian Martinez-Iriarte & Yixiao Sun, 2020. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: An Unconditional MTE Approach," Papers 2010.15864, arXiv.org, revised Aug 2024.
    9. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    10. Xiaohong Chen & Yin Jia Jeff Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
    11. Yukitoshi Matsushita & Taisuke Otsu, 2017. "Likelihood inference on semiparametric models: Average derivative and treatment effect," STICERD - Econometrics Paper Series 592, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    12. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    13. Yukitoshi Matsushita & Taisuke Otsu, 2018. "Likelihood Inference on Semiparametric Models: Average Derivative and Treatment Effect," The Japanese Economic Review, Springer, vol. 69(2), pages 133-155, June.
    14. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022. "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
    15. Vanhems, Anne & Van Keilegom, Ingrid, 2013. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2013018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    16. Li, XiaoLi & You, JinHong, 2012. "Error covariance matrix correction based approach to functional coefficient regression models with generated covariates," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 263-281.
    17. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    18. Juan Carlos Escanciano & Telmo P'erez-Izquierdo, 2023. "Automatic Locally Robust Estimation with Generated Regressors," Papers 2301.10643, arXiv.org, revised Nov 2023.
    19. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    20. Huang, Liquan & Khalil, Umair & Yıldız, Neşe, 2019. "Identification and estimation of a triangular model with multiple endogenous variables and insufficiently many instrumental variables," Journal of Econometrics, Elsevier, vol. 208(2), pages 346-366.
    21. Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers 06/17, Institute for Fiscal Studies.
    22. Yukitoshi Matsushita & Taisuke Otsu, 2016. "Likelihood inference on semiparametric models with generated regressors," STICERD - Econometrics Paper Series 587, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    23. Simar, Leopold & Vanhems, Anne & Van Keilegom, Ingrid, 2013. "Unobserved heterogeneity and endogeneity in nonparametric frontier estimation," LIDAM Discussion Papers ISBA 2013054, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    24. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
    25. Zhang, Junfu & Zhao, Zhong, 2013. "Measuring the Income-Distance Tradeoff for Rural-Urban Migrants in China," IZA Discussion Papers 7160, Institute of Labor Economics (IZA).
    26. Otsu, Taisuke & Taniguchi, Go, 2020. "Kolmogorov-Smirnov type test for generated variables," LSE Research Online Documents on Economics 105571, London School of Economics and Political Science, LSE Library.
    27. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    28. Lonjezo Sithole, 2024. "A Locally Robust Semiparametric Approach to Examiner IV Designs," Papers 2404.19144, arXiv.org.
    29. Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.
    30. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    31. Rothe, Christoph, 2016. "The Value of Knowing the Propensity Score for Estimating Average Treatment Effects," IZA Discussion Papers 9989, Institute of Labor Economics (IZA).
    32. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    33. Julian Martinez-Iriarte & YiXiao Sun, 2022. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," Working Papers 131, Red Nacional de Investigadores en Economía (RedNIE).
    34. Otsu, Taisuke & Taniguchi, Go, 2020. "Kolmogorov–Smirnov type test for generated variables," Economics Letters, Elsevier, vol. 195(C).
    35. 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.
    36. Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
    37. Martínez-Iriarte, Julian & Sun, Yixiao, 2021. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," University of California at San Diego, Economics Working Paper Series qt2bc57830, Department of Economics, UC San Diego.
    38. Zhewen Pan & Yifan Zhang, 2024. "Locally robust semiparametric estimation of sample selection models without exclusion restrictions," Papers 2412.01208, arXiv.org.
    39. Jayeeta Bhattacharya, 2020. "Quantile regression with generated dependent variable and covariates," Papers 2012.13614, arXiv.org.
    40. Jinyong Hahn & John Ham & Geert Ridder & Shuyang Sheng, 2024. "Stratifying on Treatment Status," Papers 2404.04700, arXiv.org, revised Jan 2025.
    41. Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.
    42. Liqiong Chen & Antonio F. Galvao & Suyong Song, 2021. "Quantile Regression with Generated Regressors," Econometrics, MDPI, vol. 9(2), pages 1-35, April.
    43. Elia Lapenta, 2022. "A Bootstrap Specification Test for Semiparametric Models with Generated Regressors," Papers 2212.11112, arXiv.org, revised Oct 2023.
    44. Song, Kyungchul, 2014. "Semiparametric models with single-index nuisance parameters," Journal of Econometrics, Elsevier, vol. 178(P3), pages 471-483.
    45. 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.

  12. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Identification and Estimation of Marginal Effects in Nonlinear Panel Models," Boston University - Department of Economics - Working Papers Series wp2009-b, Boston University - Department of Economics.

    Cited by:

    1. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    2. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    3. Ali Fakih, 2014. "Availability of Family-Friendly Work Practices and Implicit Wage Costs: New Evidence from Canada," CIRANO Working Papers 2014s-33, CIRANO.
    4. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
    5. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    6. Andrei Markevich & Ekaterina Zhuravskaya, 2011. "M-form hierarchy with poorly-diversified divisions: A case of Khrushchev's reform in Soviet Russia," Post-Print halshs-00754499, HAL.
    7. Andrei Markevich & Ekaterina Zhuravskaya, 2009. "Career Concerns in a Political Hierarchy: A Case of Regional Leaders in Soviet Russia," Working Papers w0040, Center for Economic and Financial Research (CEFIR).
    8. Ali Fakih, 2014. "Vacation Leave, Work Hours And Wages: New Evidence From Linked Employer-Employee Data," CIRANO Papers 2014n-11a, CIRANO.
    9. 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.
    10. Manuel Arellano & Stéphane Bonhomme, 2009. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," Working Papers wp2009_0904, CEMFI.
    11. Lewbel, Arthur & Yang, Thomas Tao, 2016. "Identifying the average treatment effect in ordered treatment models without unconfoundedness," Journal of Econometrics, Elsevier, vol. 195(1), pages 1-22.
    12. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    13. Bester, C. Alan & Hansen, Christian B., 2016. "Grouped effects estimators in fixed effects models," Journal of Econometrics, Elsevier, vol. 190(1), pages 197-208.
    14. Ciani, Emanuele, 2012. "Informal adult care and caregivers' employment in Europe," Labour Economics, Elsevier, vol. 19(2), pages 155-164.
    15. Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc.
    16. Hyland, Marie & Bertsch, Valentin, 2018. "The Role of Community Involvement Mechanisms in Reducing Resistance to Energy Infrastructure Development," Ecological Economics, Elsevier, vol. 146(C), pages 447-474.
    17. Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    19. Valentin Bertsch & Hyland, Marie & Mahony, Michael, 2016. "What Drives People’s Opinions of Electricity Infrastructure? Empirical Evidence from Ireland," Papers WP545, Economic and Social Research Institute (ESRI).
    20. Amaresh Tiwari & Franz Palm, 2011. "Nonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Effects," CREPP Working Papers 1113, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.

  13. Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009. "Adaptive Experimental Design Using the Propensity Score," Center Discussion Papers 47107, Yale University, Economic Growth Center.

    Cited by:

    1. Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
    3. 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.
    4. Masahiro Kato & Takuya Ishihara & Junya Honda & Yusuke Narita, 2020. "Efficient Adaptive Experimental Design for Average Treatment Effect Estimation," Papers 2002.05308, arXiv.org, revised Feb 2025.
    5. Masahiro Kato & Kaito Ariu, 2021. "The Role of Contextual Information in Best Arm Identification," Papers 2106.14077, arXiv.org, revised Feb 2024.
    6. John List & Sally Sadoff & Mathis Wagner, 2010. "So you want to run an experiment, now what? Some simple rules of thumb for optimal experimental design," Artefactual Field Experiments 00094, The Field Experiments Website.
    7. Jian, L. & Linton, O. B. & Tang, H. & Zhang, Y., 2023. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Cambridge Working Papers in Economics 2366, Faculty of Economics, University of Cambridge.
    8. 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).
    9. 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.
    10. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
    11. Harrison H. Li & Art B. Owen, 2023. "Double machine learning and design in batch adaptive experiments," Papers 2309.15297, arXiv.org.
    12. Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.
    13. Castillo-Manzano, José I. & López-Valpuesta, Lourdes & Sánchez-Braza, Antonio, 2018. "When the mall is in the airport: Measuring the effect of the airport mall on passengers’ consumer behavior," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 32-38.
    14. 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.
    15. Max Tabord-Meehan, 2023. "Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2646-2673.
    16. Masahiro Kato & Shota Yasui & Kenichiro McAlinn, 2020. "The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy," Papers 2010.03792, arXiv.org, revised Jun 2021.
    17. 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.
    18. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
    19. Masahiro Kato, 2020. "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales," Papers 2006.06982, arXiv.org.
    20. Karlan, Dean & Wood, Daniel, 2015. "The Effect of Effectiveness: Donor Response to Aid Effectiveness in a Direct Mail Fundraising Experiment," Working Papers 130, Yale University, Department of Economics.
    21. Masahiro Kato & Akihiro Oga & Wataru Komatsubara & Ryo Inokuchi, 2024. "Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices," Papers 2403.03589, arXiv.org, revised Jun 2024.
    22. Yichong Zhang & Xin Zheng, 2020. "Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization," Quantitative Economics, Econometric Society, vol. 11(3), pages 957-982, July.
    23. Cai, Yong & Rafi, Ahnaf, 2024. "On the performance of the Neyman Allocation with small pilots," Journal of Econometrics, Elsevier, vol. 242(1).
    24. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    25. Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
    26. Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2020. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs," Cowles Foundation Discussion Papers 2249, Cowles Foundation for Research in Economics, Yale University.
    27. Masahiro Kato & Yusuke Kaneko, 2020. "Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy," Papers 2010.13554, arXiv.org.
    28. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
    29. G�nther Fink & Margaret McConnell & Sebastian Vollmer, 2014. "Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(1), pages 44-57, January.
    30. Ahnaf Rafi, 2023. "Efficient Semiparametric Estimation of Average Treatment Effects Under Covariate Adaptive Randomization," Papers 2305.08340, arXiv.org.
    31. Yong Cai & Ahnaf Rafi, 2022. "On the Performance of the Neyman Allocation with Small Pilots," Papers 2206.04643, arXiv.org, revised Jun 2024.
    32. 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.
    33. Ruicheng Ao & Hongyu Chen & David Simchi-Levi, 2024. "Prediction-Guided Active Experiments," Papers 2411.12036, arXiv.org, revised Nov 2024.
    34. Yusuke Narita, 2018. "Toward an Ethical Experiment," Cowles Foundation Discussion Papers 2127, Cowles Foundation for Research in Economics, Yale University.
    35. Masahiro Kato, 2024. "Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification," Papers 2405.19317, arXiv.org, revised Feb 2025.
    36. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2022. "Best Arm Identification with Contextual Information under a Small Gap," Papers 2209.07330, arXiv.org, revised Jan 2023.
    37. Masahiro Kato, 2023. "Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget," Papers 2310.19788, arXiv.org, revised Mar 2024.
    38. Víctor Casero-Alonso & Jesús López-Fidalgo, 2015. "Experimental designs in triangular simultaneous equations models," Statistical Papers, Springer, vol. 56(2), pages 273-290, May.
    39. Masahiro Kato, 2023. "Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances," Papers 2312.12741, arXiv.org, revised Mar 2024.
    40. Aufenanger, Tobias, 2018. "Treatment allocation for linear models," FAU Discussion Papers in Economics 14/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2018.
    41. Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
    42. Masahiro Kato & Kenshi Abe & Kaito Ariu & Shota Yasui, 2020. "A Practical Guide of Off-Policy Evaluation for Bandit Problems," Papers 2010.12470, arXiv.org.
    43. 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.

  14. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Average and Quantile Effects in Nonseparable Panel Models," Papers 0904.1990, arXiv.org, revised Mar 2013.

    Cited by:

    1. Ariel Pakes & Jack Porter, 2024. "Moment inequalities for multinomial choice with fixed effects," Quantitative Economics, Econometric Society, vol. 15(1), pages 1-25, January.
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    Cited by:

    1. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    2. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    3. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Javier Mejia, 2018. "Social Networks and Entrepreneurship. Evidence from a Historical Episode of Industrialization," Documentos CEDE 16380, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    6. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    7. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    8. Kunz, Johannes S. & Staub, Kevin E. & Winkelmann, Rainer, 2017. "Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program," IZA Discussion Papers 11182, Institute of Labor Economics (IZA).
    9. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    10. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    11. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Efficiency in Large Dynamic Panel Models with Common Factor," Working Papers 2010-05, Center for Research in Economics and Statistics.
    12. Bonhomme, Stéphane & Lamadon, Thibaut & Manresa, Elena, 2017. "Discretizing Unobserved Heterogeneity," Working Paper Series 2017:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    14. 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.
    15. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    16. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting Individual Effects in Fixed Effects Panel Probit Models," SoDa Laboratories Working Paper Series 2021-05, Monash University, SoDa Laboratories.
    17. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    18. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    19. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    20. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    21. Lai, Hung-pin & Kumbhakar, Subal C., 2019. "Technical and allocative efficiency in a panel stochastic production frontier system model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 255-265.
    22. Laura Hospido, 2011. "Estimating non-linear models with multiple fixed effects:a computational note," Working Papers 1114, Banco de España.
    23. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2023. "The role of score and information bias in panel data likelihoods," Journal of Econometrics, Elsevier, vol. 235(2), pages 1215-1238.
    24. Wang, Xichen & Yan, Ji (Karena) & Yan, Cheng & Gozgor, Giray, 2021. "Emerging stock market exuberance and international short-term flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    25. Yuki Takara & Shingo Takagi, 2023. "An empirical approach to measure unobserved cultural relations using music trade data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 205-245, June.
    26. Chappell, Henry W. & McGregor, Rob Roy, 2018. "Committee decision-making at Sweden's Riksbank," European Journal of Political Economy, Elsevier, vol. 53(C), pages 120-133.
    27. Aneesh Raghunandan & Thomas G. Ruchti, 2024. "The Impact of Information Frictions Within Regulators: Evidence from Workplace Safety Violations," Journal of Accounting Research, Wiley Blackwell, vol. 62(3), pages 1067-1120, June.
    28. Jinyong Hahn & Jerry Hausman, 2021. "Problems with the Control Variable Approach in Achieving Unbiased Estimates in Nonlinear Models in the Presence of Many Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 39-58, December.
    29. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2019. "Predicting fixed effects in panel probit models," Monash Economics Working Papers 10-19, Monash University, Department of Economics.
    30. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
    31. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    32. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    33. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    34. Joris Pinkse & Margaret E. Slade, 2010. "The Future Of Spatial Econometrics," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 103-117, February.
    35. Traferri, Alejandra, 2009. "Correcting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status," UC3M Working papers. Economics we094021, Universidad Carlos III de Madrid. Departamento de Economía.
    36. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.
    37. Geert Dhaene & Martin Weidner, 2023. "Approximate Functional Differencing," Papers 2301.13736, arXiv.org, revised May 2023.
    38. Jan Engelmann & Alejandro Hirmas & Joël van der Weele, 2021. "Top Down or Bottom Up? Disentangling the Channels of Attention in Risky Choice," Tinbergen Institute Discussion Papers 21-031/I, Tinbergen Institute.
    39. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    40. Amaresh Tiwari & Franz Palm, 2011. "Nonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Effects," CREPP Working Papers 1113, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.

  16. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.

    Cited by:

    1. Jean-Louis ARCAND & Béatrice D'HOMBRES, 2002. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Working Papers 200227, CERDI.
    2. Thijs van Rens, 2002. "Education, Growth and Income Inequality," CESifo Working Paper Series 653, CESifo.
    3. Jerry Hausman & Guido Kuersteiner, 2005. "Difference in Difference Meets Generalized Least Squares: Higher Order Properties of Hypotheses Tests," Boston University - Department of Economics - Working Papers Series WP2005-010, Boston University - Department of Economics.
    4. Rodrigo Alfaro & Helmut Franken & Carlos García & Alejandro Jara, 2004. "The Bank Lending Channel in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Luis Antonio Ahumada & J. Rodrigo Fuentes & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Banking Market Structure and Monetary Policy, edition 1, volume 7, chapter 4, pages 121-146, Central Bank of Chile.
    5. Lawrence J. Christiano & Martin S. Eichenbaum & Robert J. Vigfusson, 2003. "What happens after a technology shock?," International Finance Discussion Papers 768, Board of Governors of the Federal Reserve System (U.S.).
    6. Peter C.B. Phillips & Donggyu Sul, 2004. "Bias in Dynamic Panel Estimation with Fixed Effects, Incidental Trends and Cross Section Dependence," Yale School of Management Working Papers ysm428, Yale School of Management.
    7. Philip Brock & Helmut Franken M., 2003. "Measuring the Determinants of Average and Marginal Bank Interest Rate Spreads in Chile, 1994-2001," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 6(3), pages 45-65, December.
    8. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    9. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2014. "Democracy Does Cause Growth," NBER Working Papers 20004, National Bureau of Economic Research, Inc.
    10. Carlos Budnevich L. & Helmut Franken M., 2003. "Market Discipline in Depositors’ Behavior and the Role of Risk-Rating Agencies: The Case of Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 6(2), pages 45-70, August.
    11. Phillips, Peter & Sul, Donggyu, 2002. "Dynamic Panel Estimation and Homogenity Testing Under Cross Section Dependence," Working Papers 194, Department of Economics, The University of Auckland.
    12. Hyungsik Roger Moon & Peter C.B. Phillips, 2003. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Cowles Foundation Discussion Papers 1390, Cowles Foundation for Research in Economics, Yale University.
    13. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    14. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University.
    15. Rodrigo Alfaro & Helmut Franken & Carlos García & Alejandro Jara, 2003. "Bank Lending Channel and the Monetary Transmission Mechanism: the Case of Chile," Working Papers Central Bank of Chile 223, Central Bank of Chile.
    16. Kazuhiko Hayakawa, 2005. "Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models," Hi-Stat Discussion Paper Series d05-82, Institute of Economic Research, Hitotsubashi University.

  17. Manuel Arellano & Jinyong Hahn, 2005. "Understanding Bias in Nonlinear Panel Models: Some Recent Developments," Working Papers wp2005_0507, CEMFI.

    Cited by:

    1. Beatriz Domínguez & Juan José Ganuza & Gerard Llobet, 2005. "R&D in the pharmaceutical industry: A world of small innovations," Economics Working Papers 936, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Xiaoming Li, 2011. "Fixed Effects Estimation in Panel Nonlinear Fractional Response Models," Working papers 2011-11, University of Connecticut, Department of Economics.
    5. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    6. Bai, Jushan & Ando, Tomohiro, 2013. "Panel data models with grouped factor structure under unknown group membership," MPRA Paper 52782, University Library of Munich, Germany.
    7. Martin Browning & Jesus Carro, 2006. "Heterogeneity and Microeconometrics Modelling," CAM Working Papers 2006-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    8. Khalifa, Sherin & Petri, Svetlana & Henning, Christian H. C. A., 2020. "If climate change can trigger civil conflict, can good policy trigger peace? Empirical evidence from cross-country panel data," Working Papers of Agricultural Policy WP2020-01, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    9. Dötz, Niko & Fischer, Christoph, 2010. "What can EMU countries' sovereign bond spreads tell us about market perceptions of default probabilities during the recent financial crisis?," Discussion Paper Series 1: Economic Studies 2010,11, Deutsche Bundesbank.
    10. Suarez, Javier & Ceron, Jose A., 2006. "Hot and Cold Housing Markets: International Evidence," CEPR Discussion Papers 5411, C.E.P.R. Discussion Papers.
    11. Xiaokun Wang & Kara M. Kockelman, 2009. "Baysian Inference For Ordered Response Data With A Dynamic Spatial‐Ordered Probit Model," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 877-913, December.
    12. Vicente Royuela, 2015. "The role of urbanisation on international migrations: a case study of EU and ENP countries," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(4), pages 469-490, July.
    13. Contoyannis, Paul & Li, Jinhu, 2011. "The evolution of health outcomes from childhood to adolescence," Journal of Health Economics, Elsevier, vol. 30(1), pages 11-32, January.
    14. Aleix Calveras & Juan José Ganuza & Gerard Llobet, 2005. "Regulation and opportunism: How much activism do we need?," Economics Working Papers 935, Department of Economics and Business, Universitat Pompeu Fabra.
    15. Wang, Xichen & Yan, Ji (Karena) & Yan, Cheng & Gozgor, Giray, 2021. "Emerging stock market exuberance and international short-term flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    16. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    17. Javier Diaz-Gimenez & Josep Pijoan-Mas, 2006. "Flat Tax Reforms in the U.S.: a Boon for the Income Poor," Computing in Economics and Finance 2006 400, Society for Computational Economics.
    18. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    19. Galvao Jr, A. F. & Montes-Rojas, G., 2009. "Instrumental variables quantile regression for panel data with measurement errors," Working Papers 09/06, Department of Economics, City University London.
    20. Orcun Kaya, 2014. "Is perceived financial inadequacy persistent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 636-654, December.
    21. Innocent BAYAI & Sylvanus IKHIDE, 2018. "FINANCING STRUCTURE AND FINANCIAL SUSTAINABILITY OF SELECTED SADC MICROFINANCE INSTITUTIONS (MFIs)," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(4), pages 665-696, December.

  18. Jinyong Hahn & Hyungsik Roger Moon, 2004. "Reducing Bias of MLE in a Dynamic Panel Model," IEPR Working Papers 04.5, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    3. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    4. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. 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.
    6. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    7. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    8. Geert Dhaene & Koen Jochmans, 2016. "Bias-corrected estimation of panel vector autoregressions," Post-Print hal-03392010, HAL.
    9. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    11. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    12. Chambers, Marcus J., 2013. "Jackknife estimation of stationary autoregressive models," Journal of Econometrics, Elsevier, vol. 172(1), pages 142-157.
    13. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    14. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    15. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    16. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    17. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    18. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2020. "The Great Recession and a Missing Generation of Exporters," FEDS Notes 2020-03-06, Board of Governors of the Federal Reserve System (U.S.).
    19. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2019. "The Great Recession and a Missing Generation of Exporters," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(4), pages 703-745, December.
    20. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    21. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    22. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    23. Okui, Ryo, 2011. "Asymptotically unbiased estimation of autocovariances and autocorrelations for panel data with incidental trends," Economics Letters, Elsevier, vol. 112(1), pages 49-52, July.
    24. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    25. Badi H. Baltagi, 2013. "Dynamic panel data models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 10, pages 229-248, Edward Elgar Publishing.
    26. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    27. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    28. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    29. Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.
    30. David Emanuel Andersson & Åke E. Andersson & Björn Hårsman & Xiyi Yang, 2020. "The geography of science in 12 European countries: a NUTS2-level analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1099-1125, August.
    31. William Lincoln & Andrew McCallum & Michael Siemer, 2018. "The Great Recession and a Missing Generation of Exporters," 2018 Meeting Papers 558, Society for Economic Dynamics.
    32. William F. Lincoln & Andrew H. McCallum & Michael Siemer, 2018. "The Great Recession and a Missing Generation of Exporters," Working Papers 18-33, Center for Economic Studies, U.S. Census Bureau.

  19. Jinyong Hahn & Whitney K. Newey, 2003. "Jackknife and analytical bias reduction for nonlinear panel models," CeMMAP working papers 17/03, Institute for Fiscal Studies.

    Cited by:

    1. Aizenman, J. & Jinjarak, Y. & Park, D. & Zheng, H., 2021. "Good-bye original sin, hello risk on-off, financial fragility, and crises?," Journal of International Money and Finance, Elsevier, vol. 117(C).
    2. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    3. Fatima Olanike Kareem & Bernhard Brümmer & Inmaculada Martinez-Zarzoso, 2017. "European Union Market Access Conditions and Africa's Extensive Margin of Food Trade," The World Economy, Wiley Blackwell, vol. 40(10), pages 2277-2300, October.
    4. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    5. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative Asymptotics and the Partially Linear Model with Many Regressors," Papers 1505.08120, arXiv.org.
    7. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    8. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    9. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2022. "Discretizing Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 90(2), pages 625-643, March.
    10. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    11. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    12. Réka Juhász & Claudia Steinwender, 2018. "Spinning the Web: The Impact of ICT on Trade in Intermediates and Technology Diffusion," NBER Working Papers 24590, National Bureau of Economic Research, Inc.
    13. Qingyan Shang & Lung-fei Lee, 2011. "Two-Step Estimation of Endogenous and Exogenous Group Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(2), pages 173-207.
    14. Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
    15. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    16. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    17. Koen Jochmans, 2015. "Two-way models for gravity," SciencePo Working papers Main hal-01114776, HAL.
    18. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    19. Creel, Michael & Kristensen, Dennis, 2011. "Indirect Likelihood Inference," Dynare Working Papers 8, CEPREMAP.
    20. Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Working Papers tecipa-603, University of Toronto, Department of Economics.
    21. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    22. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.
    23. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Taisuke Otsu & Martin Pesendorfer & Yuya Sasaki & Yuya Takahashi, 2020. "Estimation of (static or dynamic) games under equilibrium multiplicity," STICERD - Econometrics Paper Series 611, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    25. 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.
    26. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Hahn, Jinyong & Kuersteiner, Guido & Cho, Myeong Hyeon, 2004. "Asymptotic distribution of misspecified random effects estimator for a dynamic panel model with fixed effects when both n and T are large," Economics Letters, Elsevier, vol. 84(1), pages 117-125, July.
    28. 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.
    29. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
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    60. Gaglianone, Wagner Piazza & Marins, Jaqueline Terra Moura, 2017. "Evaluation of exchange rate point and density forecasts: An application to Brazil," International Journal of Forecasting, Elsevier, vol. 33(3), pages 707-728.
    61. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    62. Ana-Maria Fuertes & Jose Olmo, 2016. "On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?," JRFM, MDPI, vol. 9(3), pages 1-20, September.
    63. Metiu, Norbert, 2012. "Sovereign risk contagion in the Eurozone," Economics Letters, Elsevier, vol. 117(1), pages 35-38.
    64. Köksal, Bülent & Orhan, Mehmet, 2012. "Market risk of developed and developing countries during the global financial crisis," MPRA Paper 37523, University Library of Munich, Germany.
    65. Mirjana Miletić & Siniša Miletić, 2016. "Performance of VaR in Developed and CEE Countries during the Global Financial Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 54-75, March.
    66. Kilic, Ekrem, 2006. "Violation duration as a better way of VaR model evaluation : evidence from Turkish market portfolio," MPRA Paper 5610, University Library of Munich, Germany.
    67. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    68. Isengildina-Massa, Olga & Sharp, Julia L., 2013. "Interval Forecast Comparison," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150791, Agricultural and Applied Economics Association.
    69. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
    70. Cerović Julija & Lipovina-Božović Milena & Vujošević Saša, 2015. "A Comparative Analysis of Value at Risk Measurement on Emerging Stock Markets: Case of Montenegro," Business Systems Research, Sciendo, vol. 6(1), pages 36-55, March.

  21. 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.

    Cited by:

    1. Kim, Jong Min & Jun, Mina & Kim, Chung K., 2018. "The Effects of Culture on Consumers' Consumption and Generation of Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 134-150.
    2. Simon Porcher, 2019. "Does Contracting for the Provision of Public Services Decrease Prices? Evidence from French Water Public Services," Working Papers hal-02145863, HAL.
    3. Joshua D. Angrist & Victor Lavy, 2002. "The Effect of High School Matriculation Awards: Evidence from Randomized Trials," NBER Working Papers 9389, National Bureau of Economic Research, Inc.
    4. Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
    5. 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.
    6. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    7. Jochen Kluve & Hartmut Lehmann & Christoph M. Schmidt, 2000. "Disentangling Treatment Effects of Polish Active Labour Market Policies: Evidence from Matched Samples," CERT Discussion Papers 0007, Centre for Economic Reform and Transformation, Heriot Watt University.
    8. 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.
    9. Foster, E. Michael & Stephens, Robert & Krivelyova, Anna & Gamfi, Phyllis, 2007. "Can system integration improve mental health outcomes for children and youth?," Children and Youth Services Review, Elsevier, vol. 29(10), pages 1301-1319, October.
    10. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong," IZA Discussion Papers 1301, Institute of Labor Economics (IZA).
    11. 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.
    12. 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).
    13. Joshua Angrist & Victor Lavy, 2003. "Achievement awards for high school matriculation: Evidence from randomized trials," Natural Field Experiments 00202, The Field Experiments Website.

  22. Jinyong Hahn & Petra Todd & Wilbert Van der Klaauw, 1999. "Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design," NBER Working Papers 7131, National Bureau of Economic Research, Inc.

    Cited by:

    1. Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," IZA Discussion Papers 10801, Institute of Labor Economics (IZA).
    2. Alexander Hijzen & Leopoldo Mondauto & Stefano Scarpetta, 2013. "The Perverse Effects of Job-security Provisions on Job Security in Italy: Results from a Regression Discontinuity Design," OECD Social, Employment and Migration Working Papers 151, OECD Publishing.
    3. Brian A. Jacob & Lars Lefgren, 2002. "The Impact of Teacher Training on Student Achievement: Quasi-Experimental Evidence from School Reform Efforts in Chicago," NBER Working Papers 8916, National Bureau of Economic Research, Inc.
    4. Markus Froelich, 2002. "Programme Evaluation with Multiple Treatments," University of St. Gallen Department of Economics working paper series 2002 2002-17, Department of Economics, University of St. Gallen.
    5. Fort, Margherita, 2005. "Education and timing of births: evidence from a natural experiment in Italy," ISER Working Paper Series 2005-20, Institute for Social and Economic Research.
    6. 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..
    7. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.
    8. Eduardo Fé, 2010. "An application of local linear regression with asymmetric kernels to regression discontinuity designs," Economics Discussion Paper Series 1016, Economics, The University of Manchester.
    9. 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.).
    10. Ponce, Juan & Bedi, Arjun S., 2008. "The Impact of a Cash Transfer Program on Cognitive Achievement: The Bono de Desarrollo Humano of Ecuador," IZA Discussion Papers 3658, Institute of Labor Economics (IZA).
    11. 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.
    12. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    13. Jaime Bonet-Morón & Jhorland Ayala-García & Jorge Guerra-España, 2024. "Staying in Power: How Does Political Continuity Shape Debt," Documentos de trabajo sobre Economía Regional y Urbana 331, Banco de la Republica de Colombia.
    14. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs in Economics," NBER Working Papers 14723, National Bureau of Economic Research, Inc.
    15. Takahide Yanagi, 2014. "The Effect of Measurement Error in the Sharp Regression Discontinuity Design," KIER Working Papers 910, Kyoto University, Institute of Economic Research.
    16. 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.
    17. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    18. Angrist, Joshua & Lavy, Victor, 2001. "New Evidence on Classroom Computers and Pupil Learning," IZA Discussion Papers 362, Institute of Labor Economics (IZA).
    19. Buddelmeyer, Hielke & Skoufias, Emmanuel, 2003. "An Evaluation of the Performance of Regression Discontinuity Design on PROGRESA," IZA Discussion Papers 827, Institute of Labor Economics (IZA).
    20. Fe, Eduardo & Hollingsworth, Bruce, 2012. "Estimating the eect of retirement on mental health via panel discontinuity designs," MPRA Paper 38162, University Library of Munich, Germany.
    21. Zhuan Pei & David Card & David S. Lee & Andrea Weber, 2012. "Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design," Working Papers 60, Brandeis University, Department of Economics and International Business School.
    22. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2012. "Evaluating the labor-market effects of compulsory military service," European Economic Review, Elsevier, vol. 56(4), pages 814-829.
    23. Brian Jacob & Lars Lefgren, 2007. "The Effect of Grade Retention on High School Completion," NBER Working Papers 13514, National Bureau of Economic Research, Inc.
    24. 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.
    25. 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.
    26. Burgert, Derik, 2006. "Einstellungschancen von Älteren – Wie wirkt der Schwellenwert im Kündigungsschutz?," MPRA Paper 5846, University Library of Munich, Germany.
    27. David Neumark & Wendy A. Stock, 2001. "The Effects of Race and Sex Discrimination Laws," NBER Working Papers 8215, National Bureau of Economic Research, Inc.
    28. Roberto Basile & Sergio De Nardis, 2004. "Non linearità e dinamica della dimensione d'impresa in Italia," Rivista italiana degli economisti, Società editrice il Mulino, issue 3, pages 423-454.
    29. Frölich, Markus & Melly, Blaise, 2008. "Quantile Treatment Effects in the Regression Discontinuity Design," IZA Discussion Papers 3638, Institute of Labor Economics (IZA).
    30. McKenzie, David & Soares, Rodrigo R., 2006. "Comments," LSE Research Online Documents on Economics 123274, London School of Economics and Political Science, LSE Library.
    31. Christian Durán, 2004. "Evaluación microeconométrica de las políticas públicas de empleo: aspectos metodológicos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 170(3), pages 107-133, september.
    32. Burgert, Derik, 2005. "Schwellenwerte im deutschen Kündigungsschutzrecht Ein Beschäftigungshindernis für kleine Unternehmen?," MPRA Paper 5969, University Library of Munich, Germany.
    33. Derik Burgert, 2005. "Schwellenwerte im deutschen Kündigungsschutzrecht - Ein Beschäftigungshindernis für kleine Unternehmen?," FFB-Discussionpaper 51, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    34. Santarossa, Gino, 2008. "Note d'introduction sur l'évaluation d'impact d'un programme public par la méthode de régression par discontinuité [The Evaluation of Public Program Effect Using Regression Discontinuity Method : A," MPRA Paper 11268, University Library of Munich, Germany.
    35. Otávio Bartalotti, 2013. "Theory and Practice of Inference in Regression Discontinuity: A Fixed-Bandwidth Asymptotics Approach," Working Papers 1302, Tulane University, Department of Economics, revised Nov 2013.
    36. Perez-Reyna, David & Villamizar-Villegas, Mauricio, 2019. "Exchange rate effects of financial regulations," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 228-245.
    37. Giacomi De Giorgi, 2005. "Long-term effects of a mandatory multistage program: the New Deal for young people in the UK," IFS Working Papers W05/08, Institute for Fiscal Studies.
    38. Guido M. Kuersteiner & David C. Phillips & Mauricio Villamizar-Villegas, 2016. "Supplementary Material for “The Effects of Foreign Exchange Intervention: Evidence from a Rule-Based Policy in Colombia”," Borradores de Economia 965, Banco de la Republica de Colombia.
    39. Balasubramanyan, Lakshmi & Daniel, Naveen D. & Haubrich, Joseph G & Naveen, Lalitha, 2024. "Impact of risk oversight functions on bank risk: Evidence from the Dodd-Frank Act," Journal of Banking & Finance, Elsevier, vol. 158(C).
    40. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2009. "Evaluating the Labor-Market Effects of Compulsory Military Service - A Regression-Discontinuity Approach," Ruhr Economic Papers 141, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    41. Eric Furstenberg, 2010. "Academic Outcomes and Texas’s Top Ten Percent Law," The ANNALS of the American Academy of Political and Social Science, , vol. 627(1), pages 167-183, January.
    42. Wilbert Van Der Klaauw, 2008. "Regression–Discontinuity Analysis: A Survey of Recent Developments in Economics," LABOUR, CEIS, vol. 22(2), pages 219-245, June.
    43. Burgert, Derik, 2005. "The Impact of German Job Protection Legislation on Job Creation in Small Establishments - An Application of the Regression Discontinuity Design," MPRA Paper 5971, University Library of Munich, Germany.

  23. Jinyong Hahn & Jerry Hausman, 1999. "A New Specification Test for the Validity of Instrumental Variables," Working papers 99-11, Massachusetts Institute of Technology (MIT), Department of Economics.

    Cited by:

    1. Jens Ludwig & Dave E. Marcotte & Karen Norberg, 2007. "Anti-depressants and Suicide," NBER Working Papers 12906, National Bureau of Economic Research, Inc.
    2. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    3. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    4. Walter Beckert, 2020. "A Note on Specification Testing in Some Structural Regression Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 686-695, June.
    5. Jakob B. Madsen, 2005. "A Century Of Economic Growth: The Social Returns To Investment In Equipment And Structures," Manchester School, University of Manchester, vol. 73(1), pages 101-122, January.
    6. MacDonald, Ronald & Vieira, Flávio & Damasceno, Aderbal, 2010. "The Role of Institutions in Cross-Section Income and Panel Data Growth Models: A Deeper Investigation on the Weakness and Proliferation of Instruments," SIRE Discussion Papers 2010-50, Scottish Institute for Research in Economics (SIRE).
    7. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
    8. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    9. Ricardo Martin & Alex Segura-Ubiergo, 2005. "Fiscal Discipline and Social Spending in IMF-supported Programs," Public Economics 0504012, University Library of Munich, Germany.
    10. Barry Eichengreen & David Leblang, 2006. "Democracy and globalisation," BIS Working Papers 219, Bank for International Settlements.
    11. Charles Nelson & Richard Startz & Eric Zivot, 2000. "Improved Inference for the Instrumental Variables Estimator," Econometric Society World Congress 2000 Contributed Papers 1600, Econometric Society.
    12. Norman E. Hutchison & Alla Koblyakova & Bryan D. MacGregor, 2024. "Equity Release Mortgages in the UK: Regional Characteristics of Demand and Supply," International Real Estate Review, Global Social Science Institute, vol. 27(4), pages 441-469.
    13. Tansel, Aysit & Keskin, Halil Ibrahim, 2017. "Education Effects on Days Hospitalized and Days Out of Work by Gender: Evidence from Turkey," MPRA Paper 83227, University Library of Munich, Germany.
    14. Alla Koblyakova & Larisa Fleishman & Orly Furman, 2022. "Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 48-74, July.
    15. Hausman, Jerry & Stock, James H. & Yogo, Motohiro, 2005. "Asymptotic properties of the Hahn-Hausman test for weak-instruments," Economics Letters, Elsevier, vol. 89(3), pages 333-342, December.
    16. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    17. Fan, Qingliang & Zhong, Wei, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," IRTG 1792 Discussion Papers 2018-052, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    18. Claude Diebolt & Audrey-Rose Menard & Faustine Perrin, 2017. "Behind the fertility–education nexus: what triggered the French development process?," European Review of Economic History, European Historical Economics Society, vol. 21(4), pages 357-392.
    19. Arendt, Jacob Nielsen, 2005. "Does education cause better health? A panel data analysis using school reforms for identification," Economics of Education Review, Elsevier, vol. 24(2), pages 149-160, April.
    20. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    21. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
    22. Paul Dower & Elizabeth Potamites, 2010. "Signaling Credit-Worthiness: Land Titles, Banking Practices and Access to Formal Credit in Indonesia," Working Papers w0155, Center for Economic and Financial Research (CEFIR).
    23. Favero, Carlo A. & Consolo, Agostino, 2009. "Monetary Policy Inertia: More a Fiction than a fact?," CEPR Discussion Papers 7341, C.E.P.R. Discussion Papers.
    24. Hahn, Jinyong & Hausman, Jerry, 2002. "Notes on bias in estimators for simultaneous equation models," Economics Letters, Elsevier, vol. 75(2), pages 237-241, April.
    25. Brian Bolton, 2020. "Internal vs. External Corporate Social Responsibility at U.S. Banks," IJFS, MDPI, vol. 8(4), pages 1-28, October.
    26. Lin, Yongjia Rebecca & Fu, Xiaoqing Maggie, 2017. "Does institutional ownership influence firm performance? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 17-57.
    27. Alexandre Dmitriev, 2013. "Institutions and growth: evidence from estimation methods robust to weak instruments," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1625-1635, May.
    28. Aït-Sahalia, Yacine & Xiu, Dacheng, 2019. "A Hausman test for the presence of market microstructure noise in high frequency data," Journal of Econometrics, Elsevier, vol. 211(1), pages 176-205.
    29. Attanasio, Orazio & Low, Hamish & Sánchez-Marcos, Virginia & Levell, Peter, 2015. "Aggregating Elasticities: Intensive and Extensive Margins of Female Labour Supply," CEPR Discussion Papers 10732, C.E.P.R. Discussion Papers.
    30. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    31. Chang, Jinyuan & Guo, Bin & Yao, Qiwei, 2015. "High dimensional stochastic regression with latent factors, endogeneity and nonlinearity," LSE Research Online Documents on Economics 61886, London School of Economics and Political Science, LSE Library.
    32. Panagiotis Panagiotou & Xu Jiang & Angel Gavilan, 2023. "The determinants of liquidity commonality in the Euro-area sovereign bond market," The European Journal of Finance, Taylor & Francis Journals, vol. 29(10), pages 1144-1186, July.
    33. Ricardo Martin & Alex Segura-Ubiergo, 2005. "Social Spending in IMF-supported Programs," Public Economics 0504011, University Library of Munich, Germany.
    34. D. S. Poskitt & C. L. Skeels, 2005. "Small Concentration Asymptotics and Instrumental Variables Inference," Monash Econometrics and Business Statistics Working Papers 4/05, Monash University, Department of Econometrics and Business Statistics.
    35. André L P Ribeiro & Luiz K Hotta, 2016. "Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-13, December.
    36. 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.
    37. World Bank, 2007. "Albania - Urban Growth, Migration and Poverty Reduction : A Poverty Assessment," World Bank Publications - Reports 7659, The World Bank Group.
    38. Tae-Hwan Kim & Christophe Muller, 2017. "A Robust Test of Exogeneity Based on Quantile Regressions," Working Papers halshs-01508067, HAL.
    39. Thorsten Beck & Asli Demirgüç-Kunt, 2004. "SMEs, Growth, and Poverty," World Bank Publications - Reports 11278, The World Bank Group.
    40. Walter Beckert, 2019. "A Note on Specification Testing in Some Structural Regression Models," CeMMAP working papers CWP22/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Gopalakrishnan, Sathya & Smith, Martin D. & Slott, Jordan M. & Murray, A. Brad, 2009. "The Value of Disappearing Beaches: A hedonic pricing model with endogenous beach width," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49261, Agricultural and Applied Economics Association.
    42. Bhattacharya, Prasad S. & Graham, Michael A., 2009. "On institutional ownership and firm performance: A disaggregated view," Journal of Multinational Financial Management, Elsevier, vol. 19(5), pages 370-394, December.
    43. Mehmet Caner & Dan Berkowitz & Ying Fang, 2006. "Are Nearly Exogenous Instruments Reliable?," Working Paper 207, Department of Economics, University of Pittsburgh, revised Jan 2006.
    44. Grant Hillier & Giovanni Forchini, 2004. "Ill-posed Problems and Instruments' Weakness," Econometric Society 2004 Australasian Meetings 357, Econometric Society.
    45. 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.
    46. Nicolas Ziebarth & Markus Grabka, 2009. "In Vino Pecunia? The Association Between Beverage-Specific Drinking Behavior and Wages," Journal of Labor Research, Springer, vol. 30(3), pages 219-244, September.
    47. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    48. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    49. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    50. 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.
    51. Al, C. & Arcand, J.L. & Ethier, F., 1996. "Moral Hazard and Marshallian Inefficiency: Evidence from Tunisia," Cahiers de recherche 9605, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    52. Daniel Berkowitz & David N. DeJong, 2005. "Entrepreneurship and Post‐socialist Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 25-46, February.
    53. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
    54. Roman Horvath, 2005. "Exchange Rate Variability, Pressures and Optimum Currency Area Criteria: Lessons for the Central and Eastern European Countries," Working Papers 2005/08, Czech National Bank.
    55. Bhagat, Sanjai & Bolton, Brian, 2019. "Corporate governance and firm performance: The sequel," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 142-168.
    56. Bekker, Paul A. & Ploeg, Jan van der, 2000. "Instrumental variable estimation based on grouped data," CCSO Working Papers 200009, University of Groningen, CCSO Centre for Economic Research.
    57. Doina C. Chichernea & Alex Petkevich & Blerina Bela Zykaj, 2015. "Idiosyncratic Volatility, Institutional Ownership, and Investment Horizon," European Financial Management, European Financial Management Association, vol. 21(4), pages 613-645, September.
    58. Jens Ludwig & Jeffrey R. Kling, 2006. "Is Crime Contagious?," NBER Working Papers 12409, National Bureau of Economic Research, Inc.
    59. 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.
    60. Danny Cohen Zada, 2007. "An Alternative Instrument for Private School Competition," Working Papers 0705, Ben-Gurion University of the Negev, Department of Economics.
    61. Aviv Nevo & Adam Rosen, 2008. "Identification with imperfect instruments," CeMMAP working papers CWP16/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    62. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    63. BEKKER, Paul A. & LAWFORD, Steve, 2009. "Symmetry-based inference in an instrumental variable setting," LIDAM Reprints CORE 1987, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    64. Ian McCarthy & Sean Shenghsiu Huang, 2018. "Vertical Alignment Between Hospitals and Physicians as a Bargaining Response to Commercial Insurance Markets," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(1), pages 7-29, August.
    65. Miluka, Juna & Carletto, Calogero & Davis, Benjamin & Zezza, Alberto, 2007. "The vanishing farms ? the impact of international migration on Albanian family farming," Policy Research Working Paper Series 4367, The World Bank.
    66. Marine Carrasco & Mohamed Doukali, 2022. "Testing overidentifying restrictions with many instruments and heteroscedasticity using regularised jackknife IV," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 71-97.
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    83. Jinyong Hahn & Jerry Hausman, 2021. "Problems with the Control Variable Approach in Achieving Unbiased Estimates in Nonlinear Models in the Presence of Many Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 39-58, December.
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    97. Patrik Guggenberger & Jinyong Hahn, 2005. "Finite Sample Properties of the Two-Step Empirical Likelihood Estimator," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 247-263.
    98. Mikusheva, Anna, 2013. "Survey on statistical inferences in weakly-identified instrumental variable models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 29(1), pages 117-131.
    99. Revelli, Federico, 2008. "Performance competition in local media markets," Journal of Public Economics, Elsevier, vol. 92(7), pages 1585-1594, July.
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    101. Thorsten Beck, 2003. "Small and medium enterprises, growth, and poverty : cross-country evidence," Policy Research Working Paper Series 3178, The World Bank.
    102. Lemos, Sara & Portes, Jonathan, 2008. "New Labour? The Impact of Migration from Central and Eastern European Countries on the UK Labour Market," IZA Discussion Papers 3756, Institute of Labor Economics (IZA).
    103. Anna Nadolska & Harry G. Barkema, 2014. "Good learners: How top management teams affect the success and frequency of acquisitions," Strategic Management Journal, Wiley Blackwell, vol. 35(10), pages 1483-1507, October.
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    106. Gundlach, Erich & Hartmann, Susanne, 2005. "Untangling the quality of governance from the level of income: Are Sub-Saharan African countries governed well?," Kiel Working Papers 1241, Kiel Institute for the World Economy (IfW Kiel).
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    109. Cieślik, Andrzej & Goczek, Łukasz, 2018. "Control of corruption, international investment, and economic growth – Evidence from panel data," World Development, Elsevier, vol. 103(C), pages 323-335.
    110. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
    111. Christian Durán, 2004. "Evaluación microeconométrica de las políticas públicas de empleo: aspectos metodológicos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 170(3), pages 107-133, september.
    112. Christian Hansen & Jerry Hausman & Whitney K. Newey, 2006. "Estimation with many instrumental variables," CeMMAP working papers CWP19/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    113. Emek Basker, 2007. "When Good Instruments Go Bad," Working Papers 0706, Department of Economics, University of Missouri.
    114. Lorenčič Eva & Festić Mejra, 2021. "The Impact of Seven Macroprudential Policy Instruments on Financial Stability in Six Euro Area Economies," Review of Economic Perspectives, Sciendo, vol. 21(3), pages 259-290, September.
    115. Carstensen, Kai & Gundlach, Erich, 2005. "The primacy of institutions reconsidered: The effects of malaria prevalence in the empirics of development," Kiel Working Papers 1210, Kiel Institute for the World Economy (IfW Kiel).
    116. Bertille Antoine & Eric Renault, 2017. "On the relevance of weaker instruments," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 928-945, October.
    117. Kun Wang & Greg Shailer, 2015. "Ownership Concentration And Firm Performance In Emerging Markets: A Meta-Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 29(2), pages 199-229, April.
    118. Irene Hueter, 2016. "Latent Instrumental Variables: A Critical Review," Working Papers Series 46, Institute for New Economic Thinking.
    119. Joseph Cullen & Price V. Fishback, 2006. "Did Big Government's Largesse Help the Locals? The Implications of WWII Spending for Local Economic Activity, 1939-1958," NBER Working Papers 12801, National Bureau of Economic Research, Inc.
    120. Pradeep Chintagunta & Tülin Erdem & Peter E. Rossi & Michel Wedel, 2006. "Structural Modeling in Marketing: Review and Assessment," Marketing Science, INFORMS, vol. 25(6), pages 604-616, 11-12.
    121. Krishna Chaitanya Vadlamannati & Arusha Cooray, 2015. "Do transparency initiatives work? Assessing the impact of the Special Data Dissemination Standard (SDDS) on data transparency," CAMA Working Papers 2015-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    122. Dawood Mamoon & S. Mansoob Murshed, 2017. "When Education Explains Strong Institutions: Trade Policy also Matters," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 1179-1210, April.
    123. Hausman, Jerry, 2001. "Microeconometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 33-35, January.
    124. Oliver J. Rutz & George F. Watson, 2019. "Endogeneity and marketing strategy research: an overview," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 479-498, May.
    125. Fishback, Price V. & Horrace, William C. & Kantor, Shawn, 2006. "The impact of New Deal expenditures on mobility during the Great Depression," Explorations in Economic History, Elsevier, vol. 43(2), pages 179-222, April.
    126. Ribeiro, André L.P. & Hotta, Luiz K., 2013. "An analysis of contagion among Asian countries using the canonical model of contagion," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 62-69.
    127. 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.
    128. Tobias Schlueter & Soenke Sievers, 2014. "Determinants of market beta: the impacts of firm-specific accounting figures and market conditions," Review of Quantitative Finance and Accounting, Springer, vol. 42(3), pages 535-570, April.
    129. Hahn, Jinyong & Ham, John C. & Moon, Hyungsik Roger, 2011. "The Hausman test and weak instruments," Journal of Econometrics, Elsevier, vol. 160(2), pages 289-299, February.
    130. 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.
    131. Jenni L Bettman & Mitch Kosev & Stephen J Sault, 2011. "Exploring the asset growth effect in the Australian equity market," Australian Journal of Management, Australian School of Business, vol. 36(2), pages 200-216, August.
    132. Peter Ebbes, 2007. "A non-technical guide to instrumental variables and regressor-error dependencies (in Russian)," Quantile, Quantile, issue 2, pages 3-20, March.
    133. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    134. Mejra Festić, 2015. "The Stability of the Credit Supply in the Globalized Banking Sector Environment: The Case of the EU New Member States-10," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(4), pages 386-398.
    135. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    136. Okui, Ryo, 2011. "Instrumental variable estimation in the presence of many moment conditions," Journal of Econometrics, Elsevier, vol. 165(1), pages 70-86.
    137. Kleibergen, Frank, 2007. "Generalizing weak instrument robust IV statistics towards multiple parameters, unrestricted covariance matrices and identification statistics," Journal of Econometrics, Elsevier, vol. 139(1), pages 181-216, July.
    138. Fulgence Dominick Waryoba & Li Jing, 2019. "Consumption Uncertainty Reduction Among Sweet Potato Smallholder Farmers in Tanzania," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 11(1-2), pages 132-147, January.
    139. Garry Phillips & Emma Iglesias, 2004. "The estimation of simultaneous equation models under conditional heteroscedasticity," Econometric Society 2004 Latin American Meetings 91, Econometric Society.
    140. Jesse Edgerton, 2011. "Estimating machinery supply elasticities using output price booms," Finance and Economics Discussion Series 2011-03, Board of Governors of the Federal Reserve System (U.S.).
    141. Shaobo Jin & Fan Yang-Wallentin & Kenneth A. Bollen, 2021. "A unified model-implied instrumental variable approach for structural equation modeling with mixed variables," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 564-594, June.
    142. Yakup Asarkaya & Serkan Özcan, 2007. "Determinants of Capital Structure in Financial Institutions: The Case of Turkey," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 1(1), pages 91-109.
    143. Arendt, Jacob Nielsen, 2008. "In sickness and in health--Till education do us part: Education effects on hospitalization," Economics of Education Review, Elsevier, vol. 27(2), pages 161-172, April.
    144. Jinyong Hahn & Atsushi Inoue, 2002. "A Monte Carlo Comparison Of Various Asymptotic Approximations To The Distribution Of Instrumental Variables Estimators," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 309-336.
    145. Garry Phillips & Emma Iglesias, 2004. "Simultaneous Equations and Weak Instruments under Conditionally Heteroscedastic Disturbances," Econometric Society 2004 Far Eastern Meetings 567, Econometric Society.
    146. Justus Ochieng & Beatrice Knerr & George Owuor & Emily Ouma, 2016. "Commercialisation of Food Crops and Farm Productivity: Evidence from Smallholders in Central Africa," Agrekon, Taylor & Francis Journals, vol. 55(4), pages 458-482, October.
    147. Forneron, Jean-Jacques, 2024. "Detecting identification failure in moment condition models," Journal of Econometrics, Elsevier, vol. 238(1).
    148. Arusha Cooray & Nabamita Dutta & Sushanta Mallick, 2016. "Does female human capital formation matter for the income effect of remittances? Evidence from developing countries," Oxford Development Studies, Taylor & Francis Journals, vol. 44(4), pages 458-478, October.
    149. Divine Ikenwilo & Anthony Scott, 2007. "The effects of pay and job satisfaction on the labour supply of hospital consultants," Health Economics, John Wiley & Sons, Ltd., vol. 16(12), pages 1303-1318, December.
    150. Chang, Jinyuan & Guo, Bin & Yao, Qiwei, 2015. "High dimensional stochastic regression with latent factors, endogeneity and nonlinearity," Journal of Econometrics, Elsevier, vol. 189(2), pages 297-312.
    151. Zhenhong Huang & Chen Wang & Jianfeng Yao, 2023. "The First-stage F Test with Many Weak Instruments," Papers 2302.14423, arXiv.org, revised Sep 2024.
    152. Jinyong Hahn & Jerry Hausman, 2003. "Weak Instruments: Diagnosis and Cures in Empirical Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 118-125, May.
    153. Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.

  24. Peter Christoffersen & Jinyong Hahn & Atsushi Inoue, 1999. "Testing, Comparing, and Combining Value at Risk Measures," Center for Financial Institutions Working Papers 99-44, Wharton School Center for Financial Institutions, University of Pennsylvania.

    Cited by:

    1. Shcherba, Alexandr, 2011. "Comparison of VaR estimation methods for different forecasting samples for Russian stocks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 24(4), pages 58-70.
    2. Victor Chernozhukov & Han Hong, 2023. "An MCMC Approach to Classical Estimation," Papers 2301.07782, arXiv.org.
    3. Dany Rogers Silva & Karem Cristina de Sousa Ribeiro & Hsia Hua Sheng, 2011. "Trade credit profitability measurement: application in a wholesalerdistributor case," Brazilian Business Review, Fucape Business School, vol. 8(2), pages 22-41, April.
    4. 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.
    5. Chen, Xiaohong & Hong, Han & Shum, Matthew, 2007. "Nonparametric likelihood ratio model selection tests between parametric likelihood and moment condition models," Journal of Econometrics, Elsevier, vol. 141(1), pages 109-140, November.
    6. Victor Chernozhukov & Ivan Fernandez-Val, 2011. "Inference for extremal conditional quantile models, with an application to market and birthweight risks," CeMMAP working papers CWP40/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Mauro Bernardi & Leopoldo Catania & Lea Petrella, 2014. "Are news important to predict large losses?," Papers 1410.6898, arXiv.org, revised Oct 2014.
    8. Kilic, Ekrem, 2006. "Violation duration as a better way of VaR model evaluation : evidence from Turkish market portfolio," MPRA Paper 5610, University Library of Munich, Germany.

  25. Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998. "Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-079, New York University, Leonard N. Stern School of Business-.

    Cited by:

    1. Jose A. Lopez & Marc R. Saidenberg, 1999. "Evaluating credit risk models," Working Papers in Applied Economic Theory 99-06, Federal Reserve Bank of San Francisco.
    2. Stefan Jaschke & Gerhard Stahl & Richard Stehle, 2007. "Value-at-risk forecasts under scrutiny—the German experience," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 621-636.

  26. Moshe Buchinsky & Jinyong Hahn, 1995. "Quantile Regression Model with Unknown Censoring Point," Cowles Foundation Discussion Papers 1096, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis & Peracchi, Franco, 2022. "Selection and the Distribution of Female Hourly Wages in the U.S," IZA Discussion Papers 15028, Institute of Labor Economics (IZA).
    2. Iván Fernández‐Val & Aico van Vuuren & Francis Vella & Franco Peracchi, 2023. "Selection and the distribution of female real hourly wages in the United States," Quantitative Economics, Econometric Society, vol. 14(2), pages 571-607, May.
    3. Bedassa Tadesse & Elias K. Shukralla, 2013. "The impact of foreign direct investment on horizontal export diversification: empirical evidence," Applied Economics, Taylor & Francis Journals, vol. 45(2), pages 141-159, January.
    4. Roger White & Bedassa Tadesse, 2011. "International Migration and Economic Integration," Books, Edward Elgar Publishing, number 14318.
    5. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.

  27. Jinyong Hahn & Andrew D. Foster, "undated". "A Consistent Semiparametric Estimator of the Consumer Surplus Distribution," Home Pages _077, University of Pennsylvania.

    Cited by:

    1. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.
    2. Gao, Z. & Pesaran, M. H., 2022. "Identification and Estimation of Categorical Random Coeficient Models," Cambridge Working Papers in Economics 2228, Faculty of Economics, University of Cambridge.
    3. Hahn, Jinyong, 2001. "Consistent estimation of the random structural coefficient distribution from the linear simultaneous equations system," Economics Letters, Elsevier, vol. 73(2), pages 227-231, November.
    4. Donald J. Brown & Rosa L. Matzkin, 1998. "Estimation of Nonparametric Functions in Simultaneous Equations Models, with an Application to Consumer Demand," Cowles Foundation Discussion Papers 1175, Cowles Foundation for Research in Economics, Yale University.
    5. Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
    6. Maes, Sebastiaan & Malhotra, Raghav, 2024. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," CRETA Online Discussion Paper Series 84, Centre for Research in Economic Theory and its Applications CRETA.

Articles

  1. Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2024. "Efficient bias correction for cross‐section and panel data," Quantitative Economics, Econometric Society, vol. 15(3), pages 783-816, July.
    See citations under working paper version above.
  2. Hahn, Jinyong & Liao, Zhipeng & Liu, Nan & Sheng, Shuyang, 2024. "Some finite-sample results on the Hausman test," Economics Letters, Elsevier, vol. 238(C).
    See citations under working paper version above.
  3. Hahn, Jinyong & Hausman, Jerry & Kim, Jeonghwan, 2021. "A small sigma approach to certain problems in errors-in-variables models," Economics Letters, Elsevier, vol. 208(C).

    Cited by:

    1. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    2. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Jan 2025.
    3. Kirill Evdokimov & Andrei Zeleneev, 2025. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 02/25, Institute for Fiscal Studies.
    4. Kirill Evdokimov & Andrei Zeleneev, 2024. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 05/24, Institute for Fiscal Studies.

  4. Jinyong Hahn & Zhipeng Liao, 2021. "Bootstrap Standard Error Estimates and Inference," Econometrica, Econometric Society, vol. 89(4), pages 1963-1977, July.

    Cited by:

    1. Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
    2. Mayer, Alexander & Wied, Dominik, 2023. "Estimation and inference in factor copula models with exogenous covariates," Journal of Econometrics, Elsevier, vol. 235(2), pages 1500-1521.
    3. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
    4. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    5. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    6. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.

  5. Jinyong Hahn & Jerry Hausman, 2021. "Problems with the Control Variable Approach in Achieving Unbiased Estimates in Nonlinear Models in the Presence of Many Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 39-58, December.

    Cited by:

    1. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org, revised Jan 2025.
    2. Yong Bao & Aman Ullah, 2021. "The Special Issue in Honor of Anirudh Lal Nagar: An Introduction," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 1-8, December.

  6. Hahn, Jinyong & Hausman, Jerry & Lustig, Josh, 2020. "Specification test on mixed logit models," Journal of Econometrics, Elsevier, vol. 219(1), pages 19-37.
    See citations under working paper version above.
  7. Hahn, Jinyong & Ridder, Geert, 2019. "Three-stage semi-parametric inference: Control variables and differentiability," Journal of Econometrics, Elsevier, vol. 211(1), pages 262-293.

    Cited by:

    1. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).

  8. Hahn, Jinyong & Liao, Zhipeng & Ridder, Geert, 2018. "Nonparametric Two-Step Sieve M Estimation And Inference," Econometric Theory, Cambridge University Press, vol. 34(6), pages 1281-1324, December.

    Cited by:

    1. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    2. Bournakis, Ioannis & Tsionas, Mike G., 2023. "A Non-Parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax," MPRA Paper 118100, University Library of Munich, Germany.
    3. Malikov, Emir & Zhao, Shunan, 2022. "On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI," 2022 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 7-9, 2022 316529, Agricultural and Applied Economics Association.
    4. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
    5. Botosaru, Irene, 2020. "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 217(1), pages 112-139.
    6. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    7. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    8. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    9. Minji Bang & Wayne Yuan Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," Papers 2101.05847, arXiv.org, revised Jun 2022.
    10. Sungwon Lee, 2020. "Nonparametric Identification and Estimation of Panel Quantile Models with Sample Selection," Working Papers 2012, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    11. 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.
    12. Elia Lapenta, 2022. "A Bootstrap Specification Test for Semiparametric Models with Generated Regressors," Papers 2212.11112, arXiv.org, revised Oct 2023.

  9. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    See citations under working paper version above.
  10. Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.

    Cited by:

    1. Hahn, Jinyong & Ridder, Geert, 2019. "Three-stage semi-parametric inference: Control variables and differentiability," Journal of Econometrics, Elsevier, vol. 211(1), pages 262-293.
    2. Diaz-Serrano, Luis & Nilsson, William, 2017. "The Reliability of Students' Earnings Expectations," IZA Discussion Papers 10700, Institute of Labor Economics (IZA).
    3. Kirill Evdokimov & Ilze Kalnina & Andrei Zeleneev, 2025. "Marginal effects for probit and tobit with endogeneity," CeMMAP working papers 03/25, Institute for Fiscal Studies.

  11. Jinyong Hahn & Ruoyao Shi, 2017. "Synthetic Control and Inference," Econometrics, MDPI, vol. 5(4), pages 1-12, November.
    See citations under working paper version above.
  12. Jinyong Hahn & Hyungsik Roger Moon & Connan Snider, 2017. "LM Test of Neglected Correlated Random Effects and Its Application," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 359-370, July.

    Cited by:

    1. Xiao, Ruli, 2018. "Identification and estimation of incomplete information games with multiple equilibria," Journal of Econometrics, Elsevier, vol. 203(2), pages 328-343.

  13. Manuel Arellano & Jinyong Hahn, 2016. "A likelihood-Based Approximate Solution to the Incidental Parameter Problem in Dynamic Nonlinear Models with Multiple Effects," Global Economic Review, Taylor & Francis Journals, vol. 45(3), pages 251-274, July.
    See citations under working paper version above.
  14. Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn & Zhipeng Liao, 2014. "Asymptotic Efficiency of Semiparametric Two-step GMM," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 919-943.
    See citations under working paper version above.
  15. Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey, 2013. "Average and Quantile Effects in Nonseparable Panel Models," Econometrica, Econometric Society, vol. 81(2), pages 535-580, March.
    See citations under working paper version above.
  16. Jinyong Hahn & Geert Ridder, 2013. "Asymptotic Variance of Semiparametric Estimators With Generated Regressors," Econometrica, Econometric Society, vol. 81(1), pages 315-340, January.
    See citations under working paper version above.
  17. Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2012. "A Practical Asymptotic Variance Estimator for Two-Step Semiparametric Estimators," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 481-498, May.
    See citations under working paper version above.
  18. Hahn, Jinyong & Kuersteiner, Guido, 2011. "Bias Reduction For Dynamic Nonlinear Panel Models With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 27(6), pages 1152-1191, December.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    3. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2022. "Discretizing Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 90(2), pages 625-643, March.
    4. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    5. Jess Benhabib & Alejandro Corvalan & Mark M. Spiegel, 2011. "Reestablishing the Income-Democracy Nexus," NBER Working Papers 16832, National Bureau of Economic Research, Inc.
    6. Elizabeth Schroeder, 2016. "Dynamic labor supply adjustment with bias correction," Empirical Economics, Springer, vol. 51(4), pages 1623-1640, December.
    7. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    8. Chen, Stacey H. & Chen, Jennjou & Chuang, Hongwei & Lin, Tzu-Hsin, 2023. "Physicians Treating Physicians: Relational and Informational Advantages in Treatment and Survival," IZA Discussion Papers 16048, Institute of Labor Economics (IZA).
    9. Vivian Norambuena, 2015. "Sovereign Debt Default: Are Countries Trapped by Their Own Default History?," Working Papers wp416, University of Chile, Department of Economics.
    10. Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Working Papers tecipa-603, University of Toronto, Department of Economics.
    11. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.
    13. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    15. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    16. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    17. Belkhir, Mohamed & Naceur, Sami Ben & Candelon, Bertrand & Wijnandts, Jean-Charles, 2022. "Macroprudential policies, economic growth and banking crises," Emerging Markets Review, Elsevier, vol. 53(C).
    18. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    19. Bartolucci, Francesco & Nigro, Valentina, 2012. "Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data," Journal of Econometrics, Elsevier, vol. 170(1), pages 102-116.
    20. Dzemski, Andreas, 2017. "An empirical model of dyadic link formation in a network with unobserved heterogeneity," Working Papers in Economics 698, University of Gothenburg, Department of Economics, revised Apr 2018.
    21. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    22. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    23. Vira Semenova & Matt Goldman & Victor Chernozhukov & Matt Taddy, 2023. "Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 471-510, May.
    24. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    25. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.
    26. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
    27. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    28. 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.
    29. Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
    30. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    31. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    32. Raghunandan, Aneesh & Ruchti, Thomas, 2024. "The impact of information frictions within regulators: evidence from workplace safety violations," LSE Research Online Documents on Economics 122404, London School of Economics and Political Science, LSE Library.
    33. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    34. Sun, Yixiao & Kim, Min Seong, 2009. "k-step Bootstrap Bias Correction for Fixed Effects Estimators in Nonlinear Panel Models," University of California at San Diego, Economics Working Paper Series qt9gn6n5mr, Department of Economics, UC San Diego.
    35. Bonhomme, Stéphane & Lamadon, Thibaut & Manresa, Elena, 2017. "Discretizing Unobserved Heterogeneity," Working Paper Series 2017:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    36. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    37. Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2024. "Efficient bias correction for cross‐section and panel data," Quantitative Economics, Econometric Society, vol. 15(3), pages 783-816, July.
    38. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    39. Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
    40. 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.
    41. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019. "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, vol. 212(1), pages 4-25.
    42. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    43. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    44. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    45. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    46. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    47. Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.
    48. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    49. Liangjun Su & Zhentao Shi & Peter C. B. Phillips, 2014. "Identifying Latent Structures in Panel Data," Working Papers 07-2014, Singapore Management University, School of Economics.
    50. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    51. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    52. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    53. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    54. Stefan Hochguertel & Henry Ohlsson, 2011. "Wealth mobility and dynamics over entire individual working life cycles," BCL working papers 56, Central Bank of Luxembourg.
    55. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2023. "The role of score and information bias in panel data likelihoods," Journal of Econometrics, Elsevier, vol. 235(2), pages 1215-1238.
    56. Francesco Bartolucci & Valentina Nigro & Claudia Pigini, 2018. "Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 61-88, January.
    57. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    58. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    59. Salma Gallas & Houssam Bouzgarrou & Montassar Zayati, 2024. "Balancing financial stability and economic growth: a comprehensive analysis of macroprudential regulation," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 1005-1033, December.
    60. Ivan Fernandez-Val & Wayne Yuan Gao & Yuan Liao & Francis Vella, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," Papers 2202.04154, arXiv.org, revised Jan 2023.
    61. Aneesh Raghunandan & Thomas G. Ruchti, 2024. "The Impact of Information Frictions Within Regulators: Evidence from Workplace Safety Violations," Journal of Accounting Research, Wiley Blackwell, vol. 62(3), pages 1067-1120, June.
    62. Michel, Jon & de Jong, Robert M., 2018. "Mixing properties of the dynamic Tobit model with mixing errors," Economics Letters, Elsevier, vol. 162(C), pages 112-115.
    63. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    64. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    65. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    66. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    67. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    68. Pigini, Claudia & Bartolucci, Francesco, 2022. "Conditional inference for binary panel data models with predetermined covariates," Econometrics and Statistics, Elsevier, vol. 23(C), pages 83-104.
    69. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    70. Bartolucci, Francesco & Nigro, Valentina & Pigini, Claudia, 2013. "Testing for state dependence in binary panel data with individual covariates," MPRA Paper 48233, University Library of Munich, Germany.
    71. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    72. Manuel Arellano & Jinyong Hahn, 2016. "A likelihood-Based Approximate Solution to the Incidental Parameter Problem in Dynamic Nonlinear Models with Multiple Effects," Global Economic Review, Taylor & Francis Journals, vol. 45(3), pages 251-274, July.
    73. Robinson, Peter & Velasco, Carlos, 2018. "Inference on trending panel data," LSE Research Online Documents on Economics 89192, London School of Economics and Political Science, LSE Library.
    74. Panutat Satchachai & Peter Schmidt, 2010. "Estimates of technical inefficiency in stochastic frontier models with panel data: generalized panel jackknife estimation," Journal of Productivity Analysis, Springer, vol. 34(2), pages 83-97, October.
    75. Haruo Iwakura, 2014. "Deriving the Information Bounds for Nonlinear Panel Data Models with Fixed Effects," KIER Working Papers 886, Kyoto University, Institute of Economic Research.
    76. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    77. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    78. Ivan Fernandez-Val & Joonhwah Lee, 2012. "Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference," Papers 1206.2966, arXiv.org, revised Oct 2013.
    79. Kajal Lahiri & Xian Li, 2020. "Smoking Behavior of Older Adults: A Panel Data Analysis Using HRS," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 495-523, September.
    80. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    81. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    82. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    83. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    84. Orcun Kaya, 2014. "Is perceived financial inadequacy persistent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 636-654, December.
    85. Rubin, Amir & Rubin, Eran & Segal, Dan, 2023. "Editor home bias?," Research Policy, Elsevier, vol. 52(6).
    86. Costanza Naguib, 2022. "Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1379-1402, November.
    87. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    88. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org, revised Jan 2025.
    89. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    90. Jin, Sainan, 2009. "Discrete choice modeling with nonstationary panels applied to exchange rate regime choice," Journal of Econometrics, Elsevier, vol. 150(2), pages 312-321, June.
    91. Carlos Iglesias-Fernández & Raquel Llorente-Heras, 2007. "Sectoral Structure, Qualification Characteristics and Patterns of Labour Mobility," The Service Industries Journal, Taylor & Francis Journals, vol. 27(4), pages 411-434, June.
    92. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    93. Traferri, Alejandra, 2009. "Correcting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status," UC3M Working papers. Economics we094021, Universidad Carlos III de Madrid. Departamento de Economía.
    94. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    95. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    96. Manuel Arellano & Jinyong Hahn, 2005. "Understanding Bias in Nonlinear Panel Models: Some Recent Developments," Working Papers wp2005_0507, CEMFI.
    97. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.
    98. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
    99. Wang, Fa, 2022. "Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions," Journal of Econometrics, Elsevier, vol. 229(1), pages 180-200.
    100. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    101. Francesco Bartolucci† & Valentina Nigro, 2007. "A dynamic model for binary panel data with unobserved heterogeneity admitting a Vn-consistent conditional estimator," CEIS Research Paper 97, Tor Vergata University, CEIS.
    102. Kim, Bokyung & Jeong, Jinook, 2017. "Dynamics of adolescents’ life satisfaction and effect of class rank percentile: Evidence from Korean panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 8-28.
    103. Yoshitsugu Kitazawa, 2013. "Exploration of dynamic fixed effects logit models from a traditional angle," Discussion Papers 60, Kyushu Sangyo University, Faculty of Economics.
    104. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    105. Amaresh Tiwari & Franz Palm, 2011. "Nonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Effects," CREPP Working Papers 1113, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.

  19. Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2011. "Adaptive Experimental Design Using the Propensity Score," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 96-108.
    See citations under working paper version above.
  20. Hahn, Jinyong & Ham, John & Moon, Hyungsik Roger, 2011. "Test of random versus fixed effects with small within variation," Economics Letters, Elsevier, vol. 112(3), pages 293-297, September.

    Cited by:

    1. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    2. Stefan Schmid & Felix Roedder, 2022. "Much ado about diversity? The perpetuation of old elites on corporate boards," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3263-3285, December.
    3. Wang, Yun & Zhang, Yonghui & Zhou, Qiankun, 2016. "A Stein-like estimator for linear panel data models," Economics Letters, Elsevier, vol. 141(C), pages 156-161.

  21. Patrick Bajari & Jinyong Hahn & Han Hong & Geert Ridder, 2011. "A Note On Semiparametric Estimation Of Finite Mixtures Of Discrete Choice Models With Application To Game Theoretic Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(3), pages 807-824, August.

    Cited by:

    1. Arthur Lewbel & Xun Tang, 2012. "Identification and Estimation of Games with Incomplete Information Using Excluded Regressors," Boston College Working Papers in Economics 808, Boston College Department of Economics, revised 05 Mar 2013.
    2. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    3. 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.
    4. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    5. Xiao, Ruli, 2018. "Identification and estimation of incomplete information games with multiple equilibria," Journal of Econometrics, Elsevier, vol. 203(2), pages 328-343.
    6. Paul L. E. Grieco, 2014. "Discrete games with flexible information structures: an application to local grocery markets," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 303-340, June.
    7. Marc Henry & Romuald Méango & Maurice Queyranne, 2012. "Combinatorial Bootstrap Inference IN in Prtially Identified Incomplete Structural Models," CIRJE F-Series CIRJE-F-837, CIRJE, Faculty of Economics, University of Tokyo.
    8. Lorenzo Magnolfi & Camilla Roncoroni, 2023. "Estimation of Discrete Games with Weak Assumptions on Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 2006-2041.
    9. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Ruli Xiao, 2015. "Identification and Estimation of Incomplete Information Games with Multiple Equilibria," CAEPR Working Papers 2015-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    11. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    12. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers 29/12, Institute for Fiscal Studies.
    13. Xiaotian Zhu & David R. Hunter, 2019. "Clustering via finite nonparametric ICA mixture models," 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. 13(1), pages 65-87, March.
    14. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.

  22. Hahn, Jinyong & Ham, John C. & Moon, Hyungsik Roger, 2011. "The Hausman test and weak instruments," Journal of Econometrics, Elsevier, vol. 160(2), pages 289-299, February.

    Cited by:

    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2021. "Determinants of non-compliant equity funds with EU portfolio concentration limits," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    2. Laura Di Giorgio & Massimo Filippini & Giuliano Masiero, 2014. "The relationship between costs and quality in nonprofit nursing homes," IdEP Economic Papers 1402, USI Università della Svizzera italiana.
    3. Doko Tchatoka, Firmin, 2012. "On the validity of Durbin-Wu-Hausman tests for assessing partial exogeneity hypotheses with possibly weak instruments," Working Papers 15061, University of Tasmania, Tasmanian School of Business and Economics, revised 06 Jul 2012.
    4. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    5. Ruprecht, Benedikt & Entrop, Oliver & Kick, Thomas & Wilkens, Marco, 2013. "Market Timing, Maturity Mismatch, and Risk Management: Evidence from the Banking Industry," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79733, Verein für Socialpolitik / German Economic Association.
    6. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
    7. 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.
    8. Lu, Yuhai & Gong, Mincheng & Lu, Linzhuo & Wang, Yaqin & Wang, Yang, 2024. "Urban polycentrism and total-factor energy efficiency: An analysis based on the night light data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    9. James Hansen, 2011. "Does Equity Mispricing Influence Household and Firm Decisions?," RBA Research Discussion Papers rdp2011-06, Reserve Bank of Australia.
    10. Yongming Zhu & Xiaoyu Zhou & Junjie Li & Fan Wang, 2022. "Technological Innovation, Fiscal Decentralization, Green Development Efficiency: Based on Spatial Effect and Moderating Effect," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    11. Or Levkovich & Jan Rouwendal & Jos van Ommeren, 2017. "The impact of highways on population redistribution: The role of land development restrictions," Tinbergen Institute Discussion Papers 17-109/VIII, Tinbergen Institute.
    12. Seri, Paolo & Zanfei, Antonello, 2013. "The co-evolution of ICT, skills and organization in public administrations: Evidence from new European country-level data," Structural Change and Economic Dynamics, Elsevier, vol. 27(C), pages 160-176.
    13. Kiviet, Jan F. & Pleus, Milan, 2017. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Econometrics and Statistics, Elsevier, vol. 2(C), pages 1-21.
    14. Liping Zhu & Rui Shi & Lincheng Mi & Pu Liu & Guofeng Wang, 2022. "Spatial Distribution and Convergence of Agricultural Green Total Factor Productivity in China," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    15. Ephraim Kwashie Thompson & Changki Kim, 2020. "Post-M&A Performance and Failure: Implications of Time until Deal Completion," Sustainability, MDPI, vol. 12(7), pages 1-31, April.
    16. L. Di Giorgio & M. Filippini & G. Masiero, 2016. "Is higher nursing home quality more costly?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1011-1026, November.
    17. Qusai Mohammad Qasim Alabed & Fathin Faizah Said & Zulkefly Abdul Karim & Mohd Azlan Shah Zaidi & Mohammed Daher Alshammary, 2021. "Energy–Growth Nexus in the MENA Region: A Dynamic Panel Threshold Estimation," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    18. Kinclová Lenka, 2015. "Legitimacy of the “Humanitarian Military Intervention”: An Empirical Assessment," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 21(1), pages 111-152, January.
    19. Doko Tchatoka, Firmin, 2012. "Testing for partial exogeneity with weak identification," Working Papers 14565, University of Tasmania, Tasmanian School of Business and Economics, revised 31 May 2012.
    20. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    21. Jonathan Chapman, 2019. "The contribution of infrastructure investment to Britain's urban mortality decline, 1861–1900," Economic History Review, Economic History Society, vol. 72(1), pages 233-259, February.
    22. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    23. Bertille Antoine & Eric Renault, 2017. "On the relevance of weaker instruments," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 928-945, October.
    24. Reda Cherif & Fuad Hasanov & Lichen Wang, 2018. "Sharp Instrument: A Stab at Identifying the Causes of Economic Growth," IMF Working Papers 2018/117, International Monetary Fund.
    25. Goetzke, Frank & Vance, Colin, 2021. "An increasing gasoline price elasticity in the United States?," Energy Economics, Elsevier, vol. 95(C).
    26. Samuel Bazzi & Michael A. Clemens, 2013. "Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 152-186, April.
    27. Deng, Xiangzheng & Gibson, John, 2021. "Trade-Offs between Ecosystem Services Provided By Natural Capital and the Predominant Land Use and Land Cover Changes in China," 2021 Conference, August 17-31, 2021, Virtual 315187, International Association of Agricultural Economists.
    28. Li, Yan & Lyons, Bruce, 2012. "Market structure, regulation and the speed of mobile network penetration," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 697-707.
    29. Escobal, Javier A. & Cavero, Denice, 2012. "Transaction Costs, Institutional Arrangements and Inequality Outcomes: Potato Marketing by Small Producers in Rural Peru," World Development, Elsevier, vol. 40(2), pages 329-341.
    30. Inoue, Atsushi & Rossi, Barbara, 2011. "Testing for weak identification in possibly nonlinear models," Journal of Econometrics, Elsevier, vol. 161(2), pages 246-261, April.
    31. Tuğba KAYHAN & Temur KAYHAN & Engin YARBAŞI, 2019. "Profit management in the case of financial distress and global volatile market behaviour: Evidence from Borsa Istanbul Stock Exchange," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(620), A), pages 179-192, Autumn.
    32. Daria Ciriaci & Sandro Montresor & Daniela Palma, 2013. "Do KIBS make manufacturing more innovative? An empirical investigation for four European countries," JRC Working Papers on Corporate R&D and Innovation 2013-04, Joint Research Centre.

  23. Jinyong Hahn & Geert Ridder, 2011. "Conditional Moment Restrictions and Triangular Simultaneous Equations," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 683-689, May.

    Cited by:

    1. 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.
    2. Hahn, Jinyong & Ridder, Geert, 2019. "Three-stage semi-parametric inference: Control variables and differentiability," Journal of Econometrics, Elsevier, vol. 211(1), pages 262-293.
    3. Bora Kim, 2020. "Analysis of Randomized Experiments with Network Interference and Noncompliance," Papers 2012.13710, arXiv.org.
    4. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    5. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    6. Alyssa Carlson, 2020. "Relaxing Conditional Independence in an Endogenous Binary Response Model," Working Papers 2008, Department of Economics, University of Missouri.
    7. Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).
    8. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
    9. Lee, Jinhyun, 2013. "A Consistent Nonparametric Bootstrap Test of Exogeneity," SIRE Discussion Papers 2013-95, Scottish Institute for Research in Economics (SIRE).
    10. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    11. 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.
    12. Pengzhou Wu & Kenji Fukumizu, 2021. "Towards Principled Causal Effect Estimation by Deep Identifiable Models," Papers 2109.15062, arXiv.org, revised Nov 2021.
    13. Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.

  24. Buchinsky, Moshe & Hahn, Jinyong & Kim, Kyoo il, 2010. "Semiparametric information bound of dynamic discrete choice models," Economics Letters, Elsevier, vol. 108(2), pages 109-112, August.

    Cited by:

    1. Christopher Dobronyi & Jiaying Gu & Kyoo il Kim & Thomas M. Russell, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Dec 2024.
    2. Kitazawa, Yoshitsugu, 2022. "Transformations and moment conditions for dynamic fixed effects logit models," Journal of Econometrics, Elsevier, vol. 229(2), pages 350-362.
    3. Yoshitsugu Kitazawa, 2013. "Exploration of dynamic fixed effects logit models from a traditional angle," Discussion Papers 60, Kyushu Sangyo University, Faculty of Economics.

  25. Hahn, Jinyong & Moon, Hyungsik Roger, 2010. "Panel Data Models With Finite Number Of Multiple Equilibria," Econometric Theory, Cambridge University Press, vol. 26(3), pages 863-881, June.

    Cited by:

    1. Andreas Dzemski & Ryo Okui, 2020. "Convergence rate of estimators of clustered panel models with misclassification," Papers 2008.04708, arXiv.org.
    2. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2022. "Discretizing Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 90(2), pages 625-643, March.
    3. Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023. "Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure," Papers 2303.13218, arXiv.org.
    4. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    5. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Andreas Dzemski & Ryo Okui, 2024. "Confidence set for group membership," Quantitative Economics, Econometric Society, vol. 15(2), pages 245-277, May.
    7. Boyuan Zhang, 2022. "Incorporating Prior Knowledge of Latent Group Structure in Panel Data Models," Papers 2211.16714, arXiv.org, revised Oct 2023.
    8. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
    9. Liu, Yanbo & Phillips, Peter C. B. & Yu, Jun, 2022. "A Panel Clustering Approach to Analyzing Bubble Behavior," Economics and Statistics Working Papers 1-2022, Singapore Management University, School of Economics.
    10. Leng, Xuan & Chen, Heng & Wang, Wendun, 2023. "Multi-dimensional latent group structures with heterogeneous distributions," Journal of Econometrics, Elsevier, vol. 233(1), pages 1-21.
    11. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    12. Mammen, Enno & Wilke, Ralf A. & Zapp, Kristina Maria, 2022. "Estimation of group structures in panel models with individual fixed effects," ZEW Discussion Papers 22-023, ZEW - Leibniz Centre for European Economic Research.
    13. Bonhomme, Stéphane & Lamadon, Thibaut & Manresa, Elena, 2017. "Discretizing Unobserved Heterogeneity," Working Paper Series 2017:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    14. Okui, Ryo & Wang, Wendun, 2021. "Heterogeneous structural breaks in panel data models," Journal of Econometrics, Elsevier, vol. 220(2), pages 447-473.
    15. Stephane Bonhomme, 2021. "Teams: Heterogeneity, Sorting, and Complementarity," Papers 2102.01802, arXiv.org.
    16. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2023. "Specification testing with grouped fixed effects," Papers 2310.01950, arXiv.org.
    17. Victor Aguirregabiria & Pedro Mira, 2013. "Identification of Games of Incomplete Information with Multiple Equilibria and Common Unobserved Heterogeneity," Working Papers tecipa-474, University of Toronto, Department of Economics.
    18. Stéphane Bonhomme, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Working Papers 2021-15, Becker Friedman Institute for Research In Economics.
    19. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    20. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    21. Oh, Dong Hwan & Patton, Andrew J., 2023. "Dynamic factor copula models with estimated cluster assignments," Journal of Econometrics, Elsevier, vol. 237(2).
    22. Dong Hwan Oh & Andrew J. Patton, 2021. "Dynamic Factor Copula Models with Estimated Cluster Assignments," Finance and Economics Discussion Series 2021-029r1, Board of Governors of the Federal Reserve System (U.S.), revised 06 May 2022.
    23. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    24. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    25. Dzemski, Andreas & Okui, Ryo, 2018. "Confidence Set for Group Membership," Working Papers in Economics 727, University of Gothenburg, Department of Economics.
    26. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers 29/12, Institute for Fiscal Studies.
    27. Lumsdaine, Robin L. & Okui, Ryo & Wang, Wendun, 2023. "Estimation of panel group structure models with structural breaks in group memberships and coefficients," Journal of Econometrics, Elsevier, vol. 233(1), pages 45-65.
    28. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
    29. Thomas Wiemann, 2023. "Optimal Categorical Instrumental Variables," Papers 2311.17021, arXiv.org, revised May 2024.

  26. Hahn, Jinyong, 2010. "Bounds on ATE with discrete outcomes," Economics Letters, Elsevier, vol. 109(1), pages 24-27, October.

    Cited by:

    1. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    2. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).

  27. Hahn, Jinyong & Kuersteiner, Guido, 2010. "Stationarity and mixing properties of the dynamic Tobit model," Economics Letters, Elsevier, vol. 107(2), pages 105-111, May.

    Cited by:

    1. Daniel Ordoñez-Callamand & Juan D. Hernandez-Leal & Mauricio Villamizar-Villegas, 2017. "When Multiple Objectives Meet Multiple Instruments: Identifying Simultaneous Monetary Shocks," Borradores de Economia 997, Banco de la Republica de Colombia.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Song, Shijia & Tian, Fei & Li, Handong, 2021. "An intraday-return-based Value-at-Risk model driven by dynamic conditional score with censored generalized Pareto distribution," Journal of Asian Economics, Elsevier, vol. 74(C).
    4. Daniele Massacci, 2017. "Tail Risk Dynamics in Stock Returns: Links to the Macroeconomy and Global Markets Connectedness," Management Science, INFORMS, vol. 63(9), pages 3072-3089, September.
    5. Bykhovskaya, Anna & Duffy, James A., 2024. "The local to unity dynamic Tobit model," Journal of Econometrics, Elsevier, vol. 241(2).
    6. Michel, Jon & de Jong, Robert M., 2018. "Mixing properties of the dynamic Tobit model with mixing errors," Economics Letters, Elsevier, vol. 162(C), pages 112-115.
    7. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    8. Anna Bykhovskaya & James A. Duffy, 2022. "The Local to Unity Dynamic Tobit Model," Papers 2210.02599, arXiv.org, revised May 2024.

  28. Hirano, Keisuke & Hahn, Jinyong, 2010. "Design of randomized experiments to measure social interaction effects," Economics Letters, Elsevier, vol. 106(1), pages 51-53, January.

    Cited by:

    1. Sarah Baird & J. Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Manuela Angelucci & Vincenzo Di Maro, 2010. "Program Evaluation and Spillover Effects," SPD Working Papers 1003, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    3. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    4. Steven N. Durlauf & Yannis M. Ioannides, 2009. "Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0739, Department of Economics, Tufts University.
    5. Dario Tortarolo & Guillermo Cruces & Gonzalo Vazquez-Bare, 2023. "Design of partial population experiments with an application to spillovers in tax compliance," IFS Working Papers W23/17, Institute for Fiscal Studies.
    6. 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.
    7. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    8. Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2015. "Designing Experiments to Measure Spillover Effects, Second Version," PIER Working Paper Archive 15-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jun 2015.
    9. Vazquez-Bare, Gonzalo, 2023. "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, vol. 237(1).
    10. 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.

  29. Graham, Bryan S. & Hahn, Jinyong & Powell, James L., 2009. "The incidental parameter problem in a non-differentiable panel data model," Economics Letters, Elsevier, vol. 105(2), pages 181-182, November.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. Hernández Martínez, Pedro Jesús, 2016. "Reassessing the link between firm size and exports," Economics Discussion Papers 2016-25, Kiel Institute for the World Economy (IfW Kiel).
    4. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    5. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    6. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    7. Pedro J. Hernández, 2020. "Reassessing the link between firm size and exports," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 207-223, June.
    8. Matthew Harding & Carlos Lamarche, 2017. "Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
    9. Castagnetti, Carolina & Giorgetti, Maria Letizia, 2019. "Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach," Economic Modelling, Elsevier, vol. 78(C), pages 240-261.
    10. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    11. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    12. Carolina Castagnetti & Luisa Rosti & Marina Toepfer, 2019. "The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach," DEM Working Papers Series 172, University of Pavia, Department of Economics and Management.
    13. Carolina Castagnetti, 2015. "The Analysis of the Gender Wage Gap in the Italian Public Sector: a Quantile Approach for Panel Data," DEM Working Papers Series 109, University of Pavia, Department of Economics and Management.
    14. Tansel, Aysit & Keskin, Halil Ibrahim & Ozdemir, Zeynel Abidin, 2020. "Public-private sector wage gap by gender in Egypt: Evidence from quantile regression on panel data, 1998–2018," World Development, Elsevier, vol. 135(C).
    15. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    16. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    17. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    18. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.

  30. Daniel Ackerberg & John Geweke & Jinyong Hahn, 2009. "Comments on "Convergence Properties of the Likelihood of Computed Dynamic Models"," Econometrica, Econometric Society, vol. 77(6), pages 2009-2017, November.

    Cited by:

    1. Thomas H. Jørgensen, 2017. "Life-Cycle Consumption and Children: Evidence from a Structural Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 717-746, October.
    2. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    3. Yi Wen & Huabin Wu, 2011. "Dynamics of externalities: a second-order perspective," Review, Federal Reserve Bank of St. Louis, vol. 93(May), pages 187-206.
    4. Thomas H. Jørgensen, 2014. "Life-Cycle Consumption and Children," CAM Working Papers 2014_02, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    5. Andreas Tryphonides, 2018. "Tilting Approximate Models," Papers 1805.10869, arXiv.org, revised Mar 2024.
    6. Lee, Jinhyuk & Seo, Kyoungwon, 2016. "Revisiting the nested fixed-point algorithm in BLP random coefficients demand estimation," Economics Letters, Elsevier, vol. 149(C), pages 67-70.
    7. Sarolta Laczo, 2010. "Estimating Dynamic Contracts: Risk Sharing in Village Economies," 2010 Meeting Papers 687, Society for Economic Dynamics.

  31. Guggenberger, Patrik & Hahn, Jinyong & Kim, Kyooil, 2008. "Specification testing under moment inequalities," Economics Letters, Elsevier, vol. 99(2), pages 375-378, May.

    Cited by:

    1. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers 01/13, Institute for Fiscal Studies.
    2. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    3. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    4. Arvanitis, Stelios & Scaillet, Olivier & Topaloglou, Nikolas, 2020. "Spanning tests for Markowitz stochastic dominance," Journal of Econometrics, Elsevier, vol. 217(2), pages 291-311.
    5. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    6. Adam Rosen, 2006. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," CeMMAP working papers CWP25/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    8. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    9. David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
    10. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Le-Yu Chen & Jerzy Szroeter, 2009. "Hypothesis testing of multiple inequalities: the method of constraint chaining," CeMMAP working papers CWP13/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Jun, Sung Jae & Pinkse, Joris, 2009. "Semiparametric tests of conditional moment restrictions under weak or partial identification," Journal of Econometrics, Elsevier, vol. 152(1), pages 3-18, September.
    13. David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
    14. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    15. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676, Cowles Foundation for Research in Economics, Yale University.
    16. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    17. Mathieu Marcoux & Thomas Russell & Yuanyuan Wan, 2023. "A Simple Specification Test for Models with Many Conditional Moment Inequalities," Working Papers tecipa-764, University of Toronto, Department of Economics.
    18. Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.

  32. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    3. Elsas, Ralf & Florysiak, David, 2008. "Empirical Capital Structure Research: New Ideas, Recent Evidence, and Methodological Issues," Discussion Papers in Business Administration 4743, University of Munich, Munich School of Management.
    4. Apergis, Nicholas & Voliotis, Dimitrios, 2015. "Spillover effects between lit and dark stock markets: Evidence from a panel of London Stock Exchange transactions," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 101-106.
    5. Cheng Hsiao & Qiankun Zhou, 2016. "Asymptotic distribution of quasi-maximum likelihood estimation of dynamic panels using long difference transformation when both N and T are large," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 675-683, November.
    6. Kim, Tae-Nyun & Kim, Kihun, 2018. "External cost of leverage adjustment: Evidence from defined benefit pension plans," Journal of Economics and Business, Elsevier, vol. 96(C), pages 1-14.
    7. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    8. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    9. Musa, Umar & Jun, Wen, 2020. "Does inflation targeting cause financial instability?: An empirical test of paradox of credibility hypothesis," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    10. Ulubasoglu, Mehmet Ali & Yaraşır-Tülümce, Sevinç, 2019. "Pork and Turkey: Distributive Politics in the Allocation of Public Investments into Turkish Electoral Districts 1987–2004," MPRA Paper 96842, University Library of Munich, Germany.
    11. Acemoglu, Daron & Johnson, Simon & Robinson, James A. & Yared, Pierre, 2009. "Reevaluating the modernization hypothesis," Journal of Monetary Economics, Elsevier, vol. 56(8), pages 1043-1058, November.
    12. Hovakimian, Armen & Li, Guangzhong, 2011. "In search of conclusive evidence: How to test for adjustment to target capital structure," Journal of Corporate Finance, Elsevier, vol. 17(1), pages 33-44, February.
    13. Zhou, Qing & Faff, Robert & Alpert, Karen, 2014. "Bias correction in the estimation of dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 494-513.
    14. Morais, Flávio & Serrasqueiro, Zélia & Ramalho, Joaquim J.S., 2022. "Capital structure speed of adjustment heterogeneity across zero leverage and leveraged European firms," Research in International Business and Finance, Elsevier, vol. 62(C).
    15. Serrasqueiro, Zélia & Nunes, Paulo Maçãs, 2010. "Non-linear relationships between growth opportunities and debt: Evidence from quoted Portuguese companies," Journal of Business Research, Elsevier, vol. 63(8), pages 870-878, August.
    16. Hsiao, Cheng & Zhou, Qiankun, 2015. "Statistical inference for panel dynamic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 189(2), pages 383-396.
    17. Hu, Juncheng, 2021. "Do facilitation payments affect earnings management? Evidence from China," Journal of Corporate Finance, Elsevier, vol. 68(C).
    18. Surenderrao Komera & P. J. Jijo Lukose, 2016. "Heterogeneity and Asymmetry in Speed of Leverage Adjustment: The Indian Experience," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-26, September.
    19. Masato Nishiwaki & Hyoeg Ug Kwon, 2013. "Are Losers Picked? An Empirical Analysis of Capacity Divestment and Production Reallocation in the Japanese Cement Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 61(2), pages 430-467, June.
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    36. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
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    39. Giorgio Canarella & Stephen M. Miller, 2019. "Firm Size, Corporate Debt, R&D Activity, and Agency Costs: Exploring Dynamic and Non-Linear Effects," Working papers 2019-05, University of Connecticut, Department of Economics.
    40. Andrew Mountford & Jonathan Wadsworth, 2023. "‘Good jobs’, training and skilled immigration," Economica, London School of Economics and Political Science, vol. 90(359), pages 851-881, July.
    41. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    42. Narayan, Paresh Kumar & Nasiri, Maryam Akbari, 2020. "Understanding corporate debt from the oil market perspective," Energy Economics, Elsevier, vol. 92(C).
    43. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    44. Dörffel, Christoph & Freytag, Andreas, 2023. "The poverty effect of democratization," World Development, Elsevier, vol. 165(C).
    45. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    46. Tue Gørgens & Christopher L. Skeels & Allan H. Würtz, 2009. "Efficient Estimation of Non-Linear Dynamic Panel Data Models with Application to Smooth Transition Models," CREATES Research Papers 2009-51, Department of Economics and Business Economics, Aarhus University.
    47. Christoph Morosoli & Peter Draper & Andreas Freytag & Sebastian Schuhmann, 2024. "Drivers of Inclusive Development: An Empirical Investigation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(4), pages 987-1015, August.
    48. Doucouliagos, Chris & Hennessy, Jack & Mallick, Debdulal, 2019. "Health Aid, Governance and Infant Mortality," IZA Discussion Papers 12166, Institute of Labor Economics (IZA).
    49. İbrahim Yarba & Z. Nuray Güner, 2020. "Leverage dynamics: Do financial development and government leverage matter? Evidence from a major developing economy," Empirical Economics, Springer, vol. 59(5), pages 2473-2507, November.
    50. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    51. Okui, Ryo, 2008. "Panel AR(1) estimators under misspecification," Economics Letters, Elsevier, vol. 101(3), pages 210-213, December.
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    53. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    54. Badi H. Baltagi, 2013. "Dynamic panel data models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 10, pages 229-248, Edward Elgar Publishing.
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    56. Ottorino Morresi & Alessia Naccarato, 2016. "Are Family Firms Different in Choosing and Adjusting Their Capital Structure? An Empirical Analysis through the Lens of Agency Theory," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 216-216, July.
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    59. Barbora Sedova & Matthias Kalkuhl & Robert Mendelsohn, 2020. "Distributional Impacts of Weather and Climate in Rural India," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 5-44, April.
    60. Navarro, Lucas, 2009. "Employment dynamics and crises in Latin America," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
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    64. Mohammad Reza Farzanegan & Mehdi Feizi & Hassan F. Gholipour, 2021. "Drought and Property Prices: Empirical Evidence from Provinces of Iran," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 203-221, July.
    65. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
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    67. Natalia Szomko, 2017. "The Importance of Estimation Method Choice for the Analysis of the Determinants of Capital Structure– An Example of Poland," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 3(1), pages 3-20, June.
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    69. Gonzalo Rubio & Francisco Sogorb, 2011. "The Adjustment To Target Leverage Of Spanish Public Firms: Macroeconomic Conditions And Distance From Target," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(3), pages 35-63, Winter.
    70. Jerry Hausman & Maxim L. Pinkovskiy, 2017. "Estimating dynamic panel models: backing out the Nickell Bias," CeMMAP working papers CWP53/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    71. In Choi, 2016. "Cross-sectional maximum likelihood and bias-corrected pooled least squares estimators for dynamic panels with short T," Working Papers 1610, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    72. Chang, Chong-Chuo & Chen, Hsien-Yi & Mon, Khin Thiri, 2024. "Impact of economic policy uncertainty on the firm's working capital requirements," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    73. Hoang, Khanh & Nguyen, Cuong & Zhang, Hailiang, 2021. "How does economic policy uncertainty affect corporate diversification?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 254-269.

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    Cited by:

    1. Hahn, Jinyong & Hausman, Jerry & Kim, Jeonghwan, 2021. "A small sigma approach to certain problems in errors-in-variables models," Economics Letters, Elsevier, vol. 208(C).
    2. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    3. Seojeong Lee, 2015. "A Consistent Variance Estimator for 2SLS When Instruments Identify Different LATEs," Discussion Papers 2015-01, School of Economics, The University of New South Wales.
    4. Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics and Public Policy Working Papers 2014-05, University of Adelaide, School of Economics and Public Policy.
    5. Barbara Ermini & Raffaella Santolini, 2017. "Urban sprawl and property tax of a city’s core and suburbs: evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 51(9), pages 1374-1386, September.
    6. 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.
    7. He, Qichun, 2011. "Home-bias Politics, Financial Deregulation and Economic Growth: A Causal Relationship," MPRA Paper 34482, University Library of Munich, Germany.
    8. Rui Wang, 2023. "Point Identification of LATE with Two Imperfect Instruments," Papers 2303.13795, arXiv.org.
    9. Hugo J. Faria & Hugo M. Montesinos-Yufa, 2017. "Is the Effect of Income on Democracy Heterogeneous?," Working Papers 2017-05, University of Miami, Department of Economics.
    10. Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
    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. Cheng-Few Lee & Woan-lih Liang & Fu-Lai Lin & Yating Yang, 2016. "Applications of simultaneous equations in finance research: methods and empirical results," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 943-971, November.
    13. 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.
    14. Robert P. Inman, 2008. "Federalism's Values and the Value of Federalism," NBER Working Papers 13735, National Bureau of Economic Research, Inc.
    15. Jan F. Kiviet & Jerzy Niemczyk, 2014. "On the Limiting and Empirical Distributions of IV Estimators When Some of the Instruments are Actually Endogenous," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 425-490, Emerald Group Publishing Limited.
    16. 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.
    17. Martin Emil Jakobsen & Jonas Peters, 2022. "Distributional robustness of K-class estimators and the PULSE [The colonial origins of comparative development: An empirical investigation]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 404-432.
    18. Qichun He, 2011. "Does FDI Promote Human Capital Accumulation? The Role of Gradual Financial Liberalization," CEMA Working Papers 455, China Economics and Management Academy, Central University of Finance and Economics.
    19. van der Klaauw, Bas, 2014. "From Micro Data to Causality: Forty Years of Empirical Labor Economics," IZA Discussion Papers 8047, Institute of Labor Economics (IZA).
    20. Zhaonan Qu & Yongchan Kwon, 2024. "Distributionally Robust Instrumental Variables Estimation," Papers 2410.15634, arXiv.org, revised Dec 2024.
    21. St'ephane Bonhomme & Martin Weidner, 2018. "Minimizing Sensitivity to Model Misspecification," Papers 1807.02161, arXiv.org, revised Oct 2021.
    22. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.
    23. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    24. Stéphane Bonhomme & Martin Weidner, 2020. "Minimizing Sensitivity to Model Misspecification," CeMMAP working papers CWP37/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Zi-Yi Guo, 2017. "Health Insurance and the Demand for Medical Care: a Case Study from China," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 4(1), pages 8-13.
    26. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    27. Vipul Bhatt & N. Kishor, 2013. "Bank lending channel in India: evidence from state-level analysis," Empirical Economics, Springer, vol. 45(3), pages 1307-1331, December.
    28. Shaobo Jin & Fan Yang-Wallentin & Kenneth A. Bollen, 2021. "A unified model-implied instrumental variable approach for structural equation modeling with mixed variables," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 564-594, June.
    29. Marc Frenette, 2011. "How does the stork delegate work? Childbearing and the gender division of paid and unpaid labour," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(3), pages 895-910, July.
    30. Tonmoy Choudhury & Muhammad Kamran & Hadrian Geri Djajadikerta & Tapan Sarker, 2023. "Can Banks Sustain the Growth in Renewable Energy Supply? An International Evidence," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 20-50, February.
    31. Lopez, Alberto, 2008. "Determinants of R&D cooperation: Evidence from Spanish manufacturing firms," International Journal of Industrial Organization, Elsevier, vol. 26(1), pages 113-136, January.

  35. Patrik Guggenberger & Jinyong Hahn, 2005. "Finite Sample Properties of the Two-Step Empirical Likelihood Estimator," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 247-263.

    Cited by:

    1. 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.
    2. Pierre Chaussé, 2011. "Generalized empirical likelihood for a continuum of moment conditions," Working Papers 1104, University of Waterloo, Department of Economics, revised Oct 2011.
    3. 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.
    4. 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.
    5. Aaron Chalfin & Justin McCrary, 2013. "The Effect of Police on Crime: New Evidence from U.S. Cities, 1960-2010," NBER Working Papers 18815, National Bureau of Economic Research, Inc.
    6. Patrik Guggenberger, 2006. "Finite-Sample Evidence Suggesting a Heavy Tail Problem of the Generalized Empirical Likelihood Estimator, accepted for publication, Econometric Reviews," UCLA Economics Online Papers 371, UCLA Department of Economics.
    7. Alain Guay & Florian Pelgrin, 2016. "Using Implied Probabilities to Improve the Estimation of Unconditional Moment Restrictions for Weakly Dependent Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 344-372, March.
    8. Seojeong Lee, 2018. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Empirical Likelihood Estimators," Papers 1806.00953, arXiv.org, revised Jun 2018.
    9. Rachida Ouysse, 2014. "On the performance of block-bootstrap continuously updated GMM for a class of non-linear conditional moment models," Computational Statistics, Springer, vol. 29(1), pages 233-261, February.
    10. Alain Guay & Florian Pelgrin, 2007. "Using Implied Probabilities to Improve Estimation with Unconditional Moment Restrictions," Cahiers de recherche 0747, CIRPEE.

  36. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.

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    1. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions and Malaria Preventive Behaviors in Sub-Saharan Africa," Working Papers halshs-00940084, HAL.
    2. Carrión-Flores, Carmen & Irwin, Elena G., 2010. "Identifying spatial interactions in the presence of spatial error autocorrelation: An application to land use spillovers," Resource and Energy Economics, Elsevier, vol. 32(2), pages 135-153, April.
    3. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    4. 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.
    5. Jesse A. Matheson, 2015. "Prices and social behaviour: Evidence from adult smoking in Canadian Aboriginal communities," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1661-1693, December.
    6. Goette, Lorenz & Bruhin, Adrian & Haenni, Simon & Jiang, Lingqing, 2015. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," CEPR Discussion Papers 10345, C.E.P.R. Discussion Papers.
    7. Onur Ozgur & Alberto Bisin, 2011. "Dynamic linear economies with social interactions," Levine's Working Paper Archive 786969000000000036, David K. Levine.
    8. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    9. Brock,W.A. & Durlauf,S.N., 2003. "Multinomial choice with social interactions," Working papers 1, Wisconsin Madison - Social Systems.
    10. Jose-Alberto Guerra & Myra Mohnen, 2022. "Multinomial Choice with Social Interactions: Occupations in Victorian London," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 736-747, October.
    11. Blume,L.E. & Durlauf,S.N., 2005. "Identifying social interactions : a review," Working papers 12, Wisconsin Madison - Social Systems.
    12. Grodner, Andrew & Kniesner, Thomas J. & Bishop, John A., 2011. "Social Interactions in the Labor Market," IZA Discussion Papers 5934, Institute of Labor Economics (IZA).
    13. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2016. "Consumption Network Effects," NBER Working Papers 22357, National Bureau of Economic Research, Inc.
    14. Alberto Bisin & Andrea Moro & Giorgio Topa, 2011. "The Empirical Content of Models with Multiple Equilibria in Economies with Social Interactions," NBER Working Papers 17196, National Bureau of Economic Research, Inc.
    15. Tommy K. Y. Cheung & Simon K. C. Cheung, 2020. "Spatial dependence model with feature difference," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 615-627, July.
    16. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
    17. Natallia Gray & Gabriel Picone, 2018. "Evidence of Large-Scale Social Interactions in Mammography in the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 441-457, December.
    18. Giovanni Abbiati & Jonathan Pratschke, 2021. "‘Like with Like’ or ‘Do Like’? Modelling Peer Effects in The Classroom," CSEF Working Papers 603, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    19. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    20. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    21. Arthur Lewbel & Xi Qu & Xun Tang, 2023. "Social Networks with Unobserved Links," Journal of Political Economy, University of Chicago Press, vol. 131(4), pages 898-946.
    22. Auld, M. Christopher, 2011. "Effect of large-scale social interactions on body weight," Journal of Health Economics, Elsevier, vol. 30(2), pages 303-316, March.
    23. Laurent Davezies & Xavier d'Haultfoeuille & Denis Fougère, 2007. "Identification of Peer Using Group Size Variation," Working Papers 2007-34, Center for Research in Economics and Statistics.
    24. Luisa Corrado & Roberta Distante & Majlinda Joxhe, 2019. "Body mass index and social interactions from adolescence to adulthood," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(4), pages 425-445, October.
    25. Giacomo DeGiorgi, "undated". "Be As Careful Of The Company You Keep As Of The Books You Read. Peer Effects In Education And On The Labor Market," Discussion Papers 07-054, Stanford Institute for Economic Policy Research.
    26. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    27. Ariel H. Fambeu, 2019. "Peer Effect and Environmental Responsibility of Enterprises in a Sub-Saharan African Country," Economics Bulletin, AccessEcon, vol. 39(2), pages 1084-1094.
    28. , Helena Skyt Nielsen & Ciliberto, Federico & Miller, Amalia R & Simonsen, Marianne, 2013. "Playing the Fertility Game at Work: An Equilibrium Model of Peer Effects," CEPR Discussion Papers 9429, C.E.P.R. Discussion Papers.
    29. Steven N. Durlauf & Hisatoshi Tanaka, 2008. "Understanding Regression Versus Variance Tests For Social Interactions," Economic Inquiry, Western Economic Association International, vol. 46(1), pages 25-28, January.
    30. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    31. Canning, David & Günther, Isabel & Linnemayr, Sebastian & Bloom, David, 2013. "Fertility choice, mortality expectations, and interdependent preferences—An empirical analysis," European Economic Review, Elsevier, vol. 63(C), pages 273-289.
    32. Giorgio Topa & Elizabeth Setren & Meta Brown, 2011. "Do Referrals Lead to Better Matches? Evidence from a Firm's Employee," 2011 Meeting Papers 711, Society for Economic Dynamics.
    33. John Knight & Ramani Gunatilaka, 2017. "Is Happiness Infectious?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(1), pages 1-24, February.
    34. Jason Fletcher, 2013. "Social Interactions And College Enrollment: Evidence From The National Education Longitudinal Study," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 762-778, October.
    35. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    36. Georges Dieudonné Mbondo & Novice Patrick Bakehe & Ariel Herbert Fambeu, 2022. "Is informality contagious? An analysis of the effects of social conformism on the formalization of small business," Economics Bulletin, AccessEcon, vol. 42(2), pages 317-329.
    37. Lin, Zhongjian & Tang, Xun & Yu, Ning Neil, 2021. "Uncovering heterogeneous social effects in binary choices," Journal of Econometrics, Elsevier, vol. 222(2), pages 959-973.
    38. Bansal, Sangeeta & Khanna, Madhu & Sydlowski, Joseph, 2021. "Incentives for corporate social responsibility in India: Mandate, peer pressure and crowding-out effects," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    39. Hirano, Keisuke & Hahn, Jinyong, 2010. "Design of randomized experiments to measure social interaction effects," Economics Letters, Elsevier, vol. 106(1), pages 51-53, January.
    40. Cheung, Tommy King-Yin & Wong, Wai-hung & Zhang, Anming & Wu, Yangming, 2020. "Spatial panel model for examining airport relationships within multi-airport regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 148-163.
    41. Andrew Grodner & Thomas Kniesner, 2005. "Labor Supply with Social Interactions: Econometric Estimates and Their Tax Policy Implications," Center for Policy Research Working Papers 69, Center for Policy Research, Maxwell School, Syracuse University.
    42. Bet Caeyers, 2014. "Exclusion bias in empirical social interaction models: causes, consequences and solutions," CSAE Working Paper Series 2014-05, Centre for the Study of African Economies, University of Oxford.
    43. Brock,W.A. & Durlauf,S.N., 2005. "Social interactions and macroeconomics," Working papers 5, Wisconsin Madison - Social Systems.
    44. Fang, Hang & Chen, Qianheng & Delgado, Michael S. & He, Qinying, 2023. "Peer correlations in income: Evidence from a Guanxi network in rural China," Economics Letters, Elsevier, vol. 222(C).
    45. Vaughan Daniel, 2013. "Nurture vs. Nurture: Endogenous Parental and Peer Effects and the Transmission of Culture," Working Papers 2013-04, Banco de México.
    46. Simone Celant, 2013. "The analysis of students’ academic achievement: the evaluation of peer effects through relational links," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 615-631, February.
    47. De Giorgi, Giacomo & Pellizzari, Michele & Redaelli, Silvia, 2007. "Be as Careful of the Books You Read as of the Company You Keep: Evidence on Peer Effects in Educational Choices," IZA Discussion Papers 2833, Institute of Labor Economics (IZA).
    48. David E. Bloom & David Canning & Isabel Günther & Sebastian Linnemayr, 2008. "Social Interactions and Fertility in Developing Countries," PGDA Working Papers 3408, Program on the Global Demography of Aging.
    49. Lea Eilers & Alfredo R. Paloyo & Peggy Bechara, 2022. "The effect of peer employment and neighborhood characteristics on individual employment," Empirical Economics, Springer, vol. 62(4), pages 1885-1908, April.
    50. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
    51. Entorf, Horst & Tatsi, Eirini, 2009. "Migrants at School: Educational Inequality and Social Interaction in the UK and Germany," IZA Discussion Papers 4175, Institute of Labor Economics (IZA).
    52. Hesselius, Patrik & Johansson, Per & Vikström, Johan, 2008. "Monitoring and norms in sickness insurance: empirical evidence from a natural experiment," Working Paper Series 2008:8, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    53. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    54. Zacharias Ziegelhöfer, 2012. "Down with diarrhea: Using fuzzy Regression Discontinuity Design to link communal water supply with health," IHEID Working Papers 05-2012, Economics Section, The Graduate Institute of International Studies, revised 26 Mar 2012.
    55. Yang, Muzhe & Huang, Rui, 2010. "Exposure to Obesity and Weight Gain among Adolescents," Research Reports 149944, University of Connecticut, Food Marketing Policy Center.
    56. Chi Feng & Yang Nathan, 2011. "Twitter Adoption in Congress," Review of Network Economics, De Gruyter, vol. 10(1), pages 1-46, March.

  37. Hahn, Jinyong & Meinecke, Juergen, 2005. "Time-Invariant Regressor In Nonlinear Panel Model With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 21(2), pages 455-469, April.

    Cited by:

    1. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    2. Okafor, Luke & Yan, Eric, 2022. "Covid-19 vaccines, rules, deaths, and tourism recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    3. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.

  38. Hahn, Jinyong & Kuersteiner, Guido & Cho, Myeong Hyeon, 2004. "Asymptotic distribution of misspecified random effects estimator for a dynamic panel model with fixed effects when both n and T are large," Economics Letters, Elsevier, vol. 84(1), pages 117-125, July.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.
    2. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    3. Rodrigo Alfaro, 2008. "Estimation of a Dynamic Panel Data: The Case Of Corporate Investment in Chile," Working Papers Central Bank of Chile 467, Central Bank of Chile.

  39. Jinyong Hahn & Whitney Newey, 2004. "Jackknife and Analytical Bias Reduction for Nonlinear Panel Models," Econometrica, Econometric Society, vol. 72(4), pages 1295-1319, July.
    See citations under working paper version above.
  40. Hahn, Jinyong, 2004. "Does Jeffrey's prior alleviate the incidental parameter problem?," Economics Letters, Elsevier, vol. 82(1), pages 135-138, January.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.

  41. Joshua Angrist & Jinyong Hahn, 2004. "When to Control for Covariates? Panel Asymptotics for Estimates of Treatment Effects," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 58-72, February.

    Cited by:

    1. Kristin Forbes & Marcel Fratzscher & Roland Straub, 2015. "Capital Flow Management Measures: What Are They Good For?," NBER Working Papers 20860, National Bureau of Economic Research, Inc.
    2. Arthur Grimes & Cleo Ren & Philip Stevens, 2012. "The need for speed: impacts of internet connectivity on firm productivity," Journal of Productivity Analysis, Springer, vol. 37(2), pages 187-201, April.
    3. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    4. Jian Sun & Nengliang Yao & Shoujun Lyu, 2021. "The association between Urban and Rural Resident Basic Medical Insurance and depressive symptoms among Chinese middle‐aged and older adults: Evidence from the China Health and Retirement Longitudinal ," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), September.
    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. Matias Cattaneo & Michael Jansson & Whitney K. Newey, 2017. "Inference in linear regression models with many covariates and heteroskedasticity," CeMMAP working papers CWP03/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Pandey, Radhika & Pasricha, Gurnain K. & Patnaik, Ila & Shah, Ajay, 2016. "Motivations for capital controls and their effectiveness," Working Papers 16/168, National Institute of Public Finance and Policy.
    8. Ravallion, Martin, 2005. "Evaluating anti-poverty programs," Policy Research Working Paper Series 3625, The World Bank.
    9. Justine Burns & Malcolm Kewsell & Rebecca Thornton, 2009. "Evaluating the Impact of Health Programmes," SALDRU Working Papers 40, Southern Africa Labour and Development Research Unit, University of Cape Town.
    10. 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.
    11. Antonio Musolesi & Hervé Cardot, 2017. "Modeling temporal treatment effects with zero inflated semi-parametric regression models: the case of local development policies in France," Working Papers 2017036, University of Ferrara, Department of Economics.
    12. 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.
    13. Angrist, Joshua, 2021. "Empirical strategies in economics: Illuminating the path from cause to effect," Nobel Prize in Economics documents 2021-4, Nobel Prize Committee.
    14. 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).
    15. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong," IZA Discussion Papers 1301, Institute of Labor Economics (IZA).
    16. Jason K. Luellen & William R. Shadish & M. H. Clark, 2005. "Propensity Scores," Evaluation Review, , vol. 29(6), pages 530-558, December.
    17. 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.
    18. Gianfranco E. Atzeni & OA Carboni, 2006. "Regional Disparity in ICT Adoption: an Empirical Evaluation of The Effects of Subsidies in Italy," Working Paper CRENoS 200608, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Riccardo D'Adamo, 2018. "Cluster-Robust Standard Errors for Linear Regression Models with Many Controls," Papers 1806.07314, arXiv.org, revised Apr 2019.
    20. Anirban Basu & Daniel Polsky & Willard G. Manning, 2008. "Use of Propensity Scores in Non-Linear Response Models: The Case for Health Care Expenditures," NBER Working Papers 14086, National Bureau of Economic Research, Inc.
    21. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2005. "Evaluating the effect of education on earnings: models, methods and results from the National Child Development Survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(3), pages 473-512, July.
    22. 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).
    23. Rothe, Christoph, 2016. "The Value of Knowing the Propensity Score for Estimating Average Treatment Effects," IZA Discussion Papers 9989, Institute of Labor Economics (IZA).
    24. Atila Abdulkadiroğlu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2017. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," Econometrica, Econometric Society, vol. 85, pages 1373-1432, September.
    25. Atzeni, Gianfranco E. & Carboni, Oliviero A., 2008. "The effects of grant policy on technology investment in Italy," Journal of Policy Modeling, Elsevier, vol. 30(3), pages 381-399.
    26. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    27. Emmanuel Orkoh & Phillip Frederick Blaauw & Carike Claassen, 2020. "Relative Effects of Income and Consumption Poverty on Time Poverty in Ghana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 465-499, January.
    28. Miguel Minutti‐Meza, 2013. "Does Auditor Industry Specialization Improve Audit Quality?," Journal of Accounting Research, Wiley Blackwell, vol. 51(4), pages 779-817, September.
    29. Jochmans, K., 2019. "Heteroskedasticity-Robust Inference in Linear Regression Models," Cambridge Working Papers in Economics 1957, Faculty of Economics, University of Cambridge.
    30. Eva Dettmann & Jutta Günther, 2013. "Subsidized Vocational Training: Stepping Stone or Trap? Assessing Empirical Effects Using Matching Techniques," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 405-443, December.
    31. Ogrokhina, Olena & Rodriguez, Cesar M., 2018. "The role of inflation targeting in international debt denomination in developing countries," Journal of International Economics, Elsevier, vol. 114(C), pages 116-129.
    32. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2003. "Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS," IFS Working Papers W03/20, Institute for Fiscal Studies.
    33. Fratzscher, Marcel & Forbes, Kristin & Straub, Roland, 2014. "Capital Controls and Macroprudential Measures: What Are They Good For?," CEPR Discussion Papers 9798, C.E.P.R. Discussion Papers.
    34. Brumback, Babette A., 2009. "A note on using the estimated versus the known propensity score to estimate the average treatment effect," Statistics & Probability Letters, Elsevier, vol. 79(4), pages 537-542, February.
    35. 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.
    36. Adel Ben Khalifa, 2018. "Government Supports and Technology Adoption: Evidence from Tunisia," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 43(4), pages 41-70, December.
    37. E. Han Kim & Yao Lu, 2018. "Executive Suite Independence: Is It Related to Board Independence?," Management Science, INFORMS, vol. 64(3), pages 1015-1033, March.
    38. Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
    39. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    40. Marcus Eliason & Donald Storrie, 2006. "Lasting or Latent Scars? Swedish Evidence on the Long-Term Effects of Job Displacement," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 831-856, October.
    41. Roberto Gabriele & Marco Zamarian & Enrico Zaninotto, 2006. "Assessing the economic impact of public industrial policies: an empirical investigation on subsidies," ROCK Working Papers 039, Department of Computer and Management Sciences, University of Trento, Italy, revised 12 Jun 2008.

  42. Jinyong Hahn, 2004. "Functional Restriction and Efficiency in Causal Inference," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 73-76, February.

    Cited by:

    1. Persson, Emma & Häggström, Jenny & Waernbaum, Ingeborg & de Luna, Xavier, 2017. "Data-driven algorithms for dimension reduction in causal inference," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 280-292.
    2. Lu, Xun & White, Halbert, 2014. "Robustness checks and robustness tests in applied economics," Journal of Econometrics, Elsevier, vol. 178(P1), pages 194-206.
    3. 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.
    4. Halbert White & Karim Chalak, 2010. "Testing a Conditional Form of Exogeneity," Boston College Working Papers in Economics 733, Boston College Department of Economics.
    5. Leonard Henckel & Emilija Perković & Marloes H. Maathuis, 2022. "Graphical criteria for efficient total effect estimation via adjustment in causal linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 579-599, April.
    6. Chi Wang & Giovanni Parmigiani & Francesca Dominici, 2012. "Rejoinder: Bayesian Effect Estimation Accounting for Adjustment Uncertainty," Biometrics, The International Biometric Society, vol. 68(3), pages 680-686, September.
    7. David Cheng & Abhishek Chakrabortty & Ashwin N. Ananthakrishnan & Tianxi Cai, 2020. "Estimating average treatment effects with a double‐index propensity score," Biometrics, The International Biometric Society, vol. 76(3), pages 767-777, September.
    8. Fan, Yanqin & Guerre, Emmanuel & Zhu, Dongming, 2017. "Partial identification of functionals of the joint distribution of “potential outcomes”," Journal of Econometrics, Elsevier, vol. 197(1), pages 42-59.
    9. 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.
    10. Pingel, Ronnie & Waernbaum, Ingeborg, 2015. "Correlation and efficiency of propensity score-based estimators for average causal effects," Working Paper Series 2015:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    11. Stijn Vansteelandt, 2012. "Discussions," Biometrics, The International Biometric Society, vol. 68(3), pages 675-678, September.
    12. F Richard Guo & Emilija Perković & Andrea Rotnitzky, 2023. "Variable elimination, graph reduction and the efficient g-formula," Biometrika, Biometrika Trust, vol. 110(3), pages 739-761.
    13. 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.
    14. Ruoqi Yu, 2021. "Evaluating and improving a matched comparison of antidepressants and bone density," Biometrics, The International Biometric Society, vol. 77(4), pages 1276-1288, December.
    15. Edward H. Kennedy & Sivaraman Balakrishnan, 2018. "Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Jenny Häggström," Biometrics, The International Biometric Society, vol. 74(2), pages 399-402, June.
    16. Häggström, Jenny & Persson, Emma & Waernbaum, Ingeborg & de Luna, Xavier, 2015. "CovSel: An R Package for Covariate Selection When Estimating Average Causal Effects," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i01).
    17. Matthew Cefalu & Francesca Dominici & Nils Arvold & Giovanni Parmigiani, 2017. "Model averaged double robust estimation," Biometrics, The International Biometric Society, vol. 73(2), pages 410-421, June.
    18. 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.
    19. 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.
    20. Xun Lu, 2015. "A Covariate Selection Criterion for Estimation of Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 506-522, October.
    21. Dingke Tang & Dehan Kong & Wenliang Pan & Linbo Wang, 2023. "Ultra‐high dimensional variable selection for doubly robust causal inference," Biometrics, The International Biometric Society, vol. 79(2), pages 903-914, June.
    22. Bryan Keller, 2020. "Variable Selection for Causal Effect Estimation: Nonparametric Conditional Independence Testing With Random Forests," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 119-142, April.

  43. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2004. "Estimation with weak instruments: Accuracy of higher-order bias and MSE approximations," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 272-306, June.

    Cited by:

    1. Ken Yamada, 2010. "Intertemporal Substitution in the Time Allocation of Married Women," Working Papers 27-2010, Singapore Management University, School of Economics.
    2. Ćorić, Bruno & Pugh, Geoff, 2013. "Foreign direct investment and output growth volatility: A worldwide analysis," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 260-271.
    3. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    4. Bennett, Max & Yuan, Yue, 2016. "On the Price Spread of Benchmark Crude Oils: A Spatial Price Equilibrium Model," MPRA Paper 76024, University Library of Munich, Germany.
    5. Rege, Mari & Telle, Kjetil & Votruba, Mark, 2009. "Social Interaction Effects in Disability Pension Participation: Evidence from Plant Downsizing," UiS Working Papers in Economics and Finance 2009/30, University of Stavanger.
    6. 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.
    7. Jorge Gallego & Stanislao Maldonado & Lorena Trujillo, 2018. "Blessing a Curse? Institutional Reform and Resource Booms in Colombia," Working Papers 122, Peruvian Economic Association.
    8. Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen & John C. Chao & Norman R. Swanson, 2012. "Instrumental variable estimation with heteroskedasticity and many instruments," Quantitative Economics, Econometric Society, vol. 3(2), pages 211-255, July.
    9. Peter Benczur & Cosmin L. Ilut, 2014. "Evidence for Relational Contracts in Sovereign Bank Lending," NBER Working Papers 20391, National Bureau of Economic Research, Inc.
    10. McCord, Gordon C. & Conley, Dalton & Sachs, Jeffrey D., 2017. "Malaria ecology, child mortality & fertility," Economics & Human Biology, Elsevier, vol. 24(C), pages 1-17.
    11. Roberto Ricciuti & Antonio Savoia & Kunal Sen, 2016. "How do political institutions affect fiscal capacity? Explaining taxation in developing economies," Global Development Institute Working Paper Series esid-059-16, GDI, The University of Manchester.
    12. Keita, Moussa, 2012. "Impact of subsidized inputs credits on land allocation and market-oriented agriculture in rural households in Mali," MPRA Paper 57542, University Library of Munich, Germany.
    13. Woo, Jaejoon, 2011. "Growth, income distribution, and fiscal policy volatility," Journal of Development Economics, Elsevier, vol. 96(2), pages 289-313, November.
    14. Hausman, Jerry & Stock, James H. & Yogo, Motohiro, 2005. "Asymptotic properties of the Hahn-Hausman test for weak-instruments," Economics Letters, Elsevier, vol. 89(3), pages 333-342, December.
    15. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    16. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
    17. Ronald B. Davies & Helen T. Naughton, 2003. "Cooperation in Environmental Policy: A Spatial Approach," University of Oregon Economics Department Working Papers 2006-18, University of Oregon Economics Department, revised 10 Jun 2003.
    18. Frölich, Markus & Lechner, Michael, 2010. "Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1014-1029.
    19. 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.
    20. Russell Davidson & James MacKinnon, 2006. "Moments Of Iv And Jive Estimators," Departmental Working Papers 2006-22, McGill University, Department of Economics.
    21. John C. Chao & Jerry A. Hausman & Whitney K. Newey & Norman R. Swanson & Tiemen Woutersen, 2012. "An Expository Note on the Existence of Moments of Fuller and HFUL Estimators," Advances in Econometrics, in: Essays in Honor of Jerry Hausman, pages 87-106, Emerald Group Publishing Limited.
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    2. Ramsey, James B. & Gallegati, Marco & Gallegati, Mauro & Semmler, Willi, 2010. "Instrumental variables and wavelet decompositions," Economic Modelling, Elsevier, vol. 27(6), pages 1498-1513, November.
    3. Rockey, James, 2012. "Reconsidering the fiscal effects of constitutions," European Journal of Political Economy, Elsevier, vol. 28(3), pages 313-323.
    4. Jean-Louis ARCAND & Béatrice D'HOMBRES, 2002. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Working Papers 200227, CERDI.
    5. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2008. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(2), pages 410-428, August.
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    7. Burke, Paul J. & Leigh, Andrew, 2010. "Do Output Contractions Trigger Democratic Change?," IZA Discussion Papers 4808, Institute of Labor Economics (IZA).
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    4. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
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    7. Salima Bouayad-Agha & Nadine Turpin & Lionel Védrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," TEPP Working Paper 2010-17, TEPP.
    8. Jerry Hausman & Guido Kuersteiner, 2005. "Difference in Difference Meets Generalized Least Squares: Higher Order Properties of Hypotheses Tests," Boston University - Department of Economics - Working Papers Series WP2005-010, Boston University - Department of Economics.
    9. Bai, Jushan, 2013. "Likelihood approach to dynamic panel models with interactive effects," MPRA Paper 50267, University Library of Munich, Germany.
    10. Norkute, Milda, 2014. "A Monte Carlo Study of a Factor Analytical Method for Fixed-Effects Dynamic Panel Models," Working Papers 2014:7, Lund University, Department of Economics.
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    19. Rodrigo Alfaro & Helmut Franken & Carlos García & Alejandro Jara, 2004. "The Bank Lending Channel in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Luis Antonio Ahumada & J. Rodrigo Fuentes & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Banking Market Structure and Monetary Policy, edition 1, volume 7, chapter 4, pages 121-146, Central Bank of Chile.
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    24. Hahn, Jinyong & Kuersteiner, Guido & Cho, Myeong Hyeon, 2004. "Asymptotic distribution of misspecified random effects estimator for a dynamic panel model with fixed effects when both n and T are large," Economics Letters, Elsevier, vol. 84(1), pages 117-125, July.
    25. Michel Beine & Bertrand Candelon, 2011. "Liberalisation and stock market co-movement between emerging economies," ULB Institutional Repository 2013/169589, ULB -- Universite Libre de Bruxelles.
    26. Juessen, Falko & Linnemann, Ludger, 2012. "Markups and fiscal transmission in a panel of OECD countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 674-686.
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    29. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
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    230. Dzemski, Andreas & Okui, Ryo, 2018. "Confidence Set for Group Membership," Working Papers in Economics 727, University of Gothenburg, Department of Economics.
    231. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
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    233. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    234. Carlos Alberto Piscarreta Pinto Ferreira, 2023. "Drivers of Sovereign Bond Demand – The Case of Japans," Working Papers REM 2023/0264, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
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    239. Westerlund, Joakim & Norkute, Milda, 2014. "A Factor Analytical Method to Interactive Effects Dynamic Panel Models with or without Unit Root," Working Papers 2014:12, Lund University, Department of Economics.
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    243. Giles John & Murtazashvili Irina, 2013. "A Control Function Approach to Estimating Dynamic Probit Models with Endogenous Regressorsa," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 69-87, July.
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  46. Hahn, Jinyong, 2002. "Optimal Inference With Many Instruments," Econometric Theory, Cambridge University Press, vol. 18(1), pages 140-168, February.

    Cited by:

    1. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    2. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
    3. 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.
    4. Anderson, T.W. & Kunitomo, Naoto & Matsushita, Yukitoshi, 2010. "On the asymptotic optimality of the LIML estimator with possibly many instruments," Journal of Econometrics, Elsevier, vol. 157(2), pages 191-204, August.
    5. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    6. 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.
    7. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    8. Norman R. Swanson & John C. Chao, 2004. "Estimation and Testing Using Jackknife IV in Heteroskedastic Regressions with Many Weak Instruments," Econometric Society 2004 Far Eastern Meetings 668, Econometric Society.
    9. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    10. 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.
    11. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2008. "A Shrinkage Instrumental Variable Estimator for Large Datasets," Working Papers 626, Queen Mary University of London, School of Economics and Finance.
    12. 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.
    13. Shi, Zhentao, 2016. "Econometric estimation with high-dimensional moment equalities," Journal of Econometrics, Elsevier, vol. 195(1), pages 104-119.
    14. Mathias D. Cattaneo & Richard K. Crump & Michael Jansson, 2007. "Optimal Inference for Instrumental Variables Regression with non-Gaussian Errors," CREATES Research Papers 2007-11, Department of Economics and Business Economics, Aarhus University.
    15. Shane M. Sherlund, 2004. "Quasi Empirical Likelihood Estimation of Moment Condition Models," Econometric Society 2004 North American Summer Meetings 507, Econometric Society.
    16. George Kapetanios & Massimiliano Marcellino, 2008. "Cross-sectional Averaging and Instrumental Variable Estimation with Many Weak Instruments," Working Papers 627, Queen Mary University of London, School of Economics and Finance.
    17. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    18. Haruo Iwakura, 2014. "Deriving the Information Bounds for Nonlinear Panel Data Models with Fixed Effects," KIER Working Papers 886, Kyoto University, Institute of Economic Research.
    19. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University.
    20. Carlos Velasco & Xuexin Wang, 2021. "Instrumental variable estimation via a continuum of instruments with an application to estimating the elasticity of intertemporal substitution in consumption," Working Papers 2024-09-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    21. Wayne Yuan Gao & Rui Wang, 2023. "IV Regressions without Exclusion Restrictions," Papers 2304.00626, arXiv.org, revised Jul 2023.
    22. Tae-Hyoung Tommy Gim, 2016. "Testing the Reciprocal Relationship between Attitudes and Land Use in Relation to Trip Frequencies," International Regional Science Review, , vol. 39(2), pages 203-227, April.
    23. Sølvsten, Mikkel, 2020. "Robust estimation with many instruments," Journal of Econometrics, Elsevier, vol. 214(2), pages 495-512.

  47. Hahn, Jinyong & Hausman, Jerry, 2002. "Notes on bias in estimators for simultaneous equation models," Economics Letters, Elsevier, vol. 75(2), pages 237-241, April.

    Cited by:

    1. Ćorić, Bruno & Pugh, Geoff, 2013. "Foreign direct investment and output growth volatility: A worldwide analysis," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 260-271.
    2. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    3. Arcand, Jean-Louis & Tranchant, Jean-Pierre, 2007. "Institutions, mobilization and rebellion in post-colonial societies," MPRA Paper 19648, University Library of Munich, Germany.
    4. Robert H. Chenhall & Frank Moers, 2007. "The Issue of Endogeneity within Theory-Based, Quantitative Management Accounting Research," European Accounting Review, Taylor & Francis Journals, vol. 16(1), pages 173-196.
    5. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
    6. 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.
    7. Elizabeth Asiedu & Yi Jin & Boaz Nandwa, 2009. "Does Foreign Aid Mitigate the Adverse Effect of Expropriation Risk on Foreign Direct Investment?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200905, University of Kansas, Department of Economics.
    8. Maurice J.G. Bun & Frank Windmeijer, 2011. "A Comparison of Bias Approximations for the 2SLS Estimator," Tinbergen Institute Discussion Papers 11-088/4, Tinbergen Institute.
    9. Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
    10. Matthew C. Harding & Jerry Hausman & Christopher Palmer, 2015. "Finite sample bias corrected IV estimation for weak and many instruments," CeMMAP working papers CWP41/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.
    12. Arif A. Mamun, 2006. "The White Picket Fence Dream: Effects of Assets on the Choice of Family Union," Mathematica Policy Research Reports 01ccaca54ad44dc89c4f3f393, Mathematica Policy Research.
    13. Léandre BASSOLE & Jean-Louis ARCAND, 2006. "Does Community Driven Development Work? Evidence from Senegal," Working Papers 200606, CERDI.
    14. Economou, Athina & Theodossiou, Ioannis, 2010. "Poor and Sick: Estimating the relationship between Household Income and Health," SIRE Discussion Papers 2010-121, Scottish Institute for Research in Economics (SIRE).
    15. Al, C. & Arcand, J.L. & Ethier, F., 1996. "Moral Hazard and Marshallian Inefficiency: Evidence from Tunisia," Cahiers de recherche 9605, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    16. Iglesias, Emma M. & Phillips, Garry D.A., 2011. "Almost Unbiased Estimation in Simultaneous Equations Models with Strong and / or Weak Instruments," Cardiff Economics Working Papers E2011/19, Cardiff University, Cardiff Business School, Economics Section.
    17. Jean-Louis ARCAND & Marcel DAGENAIS, 2005. "Errors in Variables and the Empirics of Economic Growth," Working Papers 200536, CERDI.
    18. Ichida, Yukinobu & Hirai, Hiroshi & Kondo, Katsunori & Kawachi, Ichiro & Takeda, Tokunori & Endo, Hideki, 2013. "Does social participation improve self-rated health in the older population? A quasi-experimental intervention study," Social Science & Medicine, Elsevier, vol. 94(C), pages 83-90.
    19. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 72587, University Library of Munich, Germany.
    20. Escobar Gamboa, Octavio Romano, 2009. "IDE entrants, exportations et productivité manufacturière : les différentes performances des régions mexicaines," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/3850 edited by Guillochon, Bernard.
    21. James Lomas & Stephen Martin & Karl Claxton, 2018. "Estimating the marginal productivity of the English National Health Service from 2003/04 to 2012/13," Working Papers 158cherp, Centre for Health Economics, University of York.
    22. Takaaki Masaki, 2016. "The impact of intergovernmental transfers on local revenue generation in Africa: Evidence from Tanzania," WIDER Working Paper Series wp-2016-113, World Institute for Development Economic Research (UNU-WIDER).
    23. Béatrice D'HOMBRES & Jean-Louis ARCAND, 2006. "Testing for Separation in Agricultural Household Models and Unobservable Household-Specific Effects," Working Papers 200632, CERDI.
    24. Maite Blázquez & Elena Cottini & Ainhoa Herrarte, 2014. "The socioeconomic gradient in health: how important is material deprivation?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 239-264, June.
    25. Alfonso Flores-Lagunes, 2007. "Finite sample evidence of IV estimators under weak instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 677-694.
    26. Nam-Hyun Kim & Winfried Pohlmeier, 2015. "A Regularization Approach to Biased Two-Stage Least Squares Estimation," Working Paper series 15-22, Rimini Centre for Economic Analysis.
    27. Hiroko Okudaira, 2009. "The Economic Costs of Court Decisions Concerning Dismissals in Japan: Identification by Judge Transfers," ISER Discussion Paper 0733r, Institute of Social and Economic Research, Osaka University, revised Sep 2015.
    28. DUFOUR, Jean-Marie & TAAMOUTI, Mohamed, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Cahiers de recherche 08-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    29. P. Dorian Owen, 2017. "Evaluating Ingenious Instruments for Fundamental Determinants of Long-Run Economic Growth and Development," Econometrics, MDPI, vol. 5(3), pages 1-33, September.
    30. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
    31. Marco Fugazza & Frédéric Robert-Nicoud, 2012. "The ‘Emulator Effect’ Of The Uruguay Round On United States Regionalism," UNCTAD Blue Series Papers 51, United Nations Conference on Trade and Development.
    32. Christopher Khawand, 2015. "Air Quality, Mortality, and Perinatal Health: Causal Evidence from Wildfires," 2015 Papers pkh318, Job Market Papers.
    33. Barnes Michael G & Smith Trenton G., 2009. "Tobacco Use as Response to Economic Insecurity: Evidence from the National Longitudinal Survey of Youth," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-29, November.
    34. Phillips, Garry David Alan & Wang, Dandan, 2019. "Bias assessment and reduction for the 2SLS estimator in general dynamic simultaneous equations models," DES - Working Papers. Statistics and Econometrics. WS 28322, Universidad Carlos III de Madrid. Departamento de Estadística.
    35. Nicola Matteucci & Raffaella Santolini & Silvio Di Fabio, 2023. "ICT diffusion in public administrations and business dynamics: Evidence from Italian municipalities," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(4), pages 1233-1271, December.
    36. Ng Serena & Bai Jushan, 2009. "Selecting Instrumental Variables in a Data Rich Environment," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-34, April.
    37. Millimet, Daniel L., 2015. "Covariate measurement and endogeneity," Economics Letters, Elsevier, vol. 136(C), pages 59-63.
    38. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    39. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    40. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    41. Nam, Hyun-Jung & Bang, Jeongseok & Ryu, Doojin, 2023. "Do financial and governmental institutions play a mediating role in the spillover effects of FDI?," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    42. Domadenik, Polona & Prašnikar, Janez & Svejnar, Jan, 2007. "How to Increase R&D in Transition Economies? Evidence from Slovenia," IZA Discussion Papers 2801, Institute of Labor Economics (IZA).
    43. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    44. Daniel A. Ackerberg & Paul J. Devereux, 2008. "Improved Jive Estimators for Overidentified Linear Models with and without Heteroskedasticity," Working Papers 200817, School of Economics, University College Dublin.
    45. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," Boston College Working Papers in Economics 667, Boston College Department of Economics, revised 05 Sep 2007.
    46. Garry Phillips & Emma Iglesias, 2004. "The estimation of simultaneous equation models under conditional heteroscedasticity," Econometric Society 2004 Latin American Meetings 91, Econometric Society.
    47. Octavio Escobar, 2011. "The location pattern of FDI in Mexico after NAFTA," ERSA conference papers ersa10p804, European Regional Science Association.
    48. Berkowitz, Daniel & Jackson, John E., 2006. "Entrepreneurship and the evolution of income distributions in Poland and Russia," Journal of Comparative Economics, Elsevier, vol. 34(2), pages 338-356, June.
    49. Kazuhiko Hayakawa, 2005. "Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models," Hi-Stat Discussion Paper Series d05-82, Institute of Economic Research, Hitotsubashi University.
    50. Garry Phillips & Emma Iglesias, 2004. "Simultaneous Equations and Weak Instruments under Conditionally Heteroscedastic Disturbances," Econometric Society 2004 Far Eastern Meetings 567, Econometric Society.
    51. Sawada, Yasuyuki & Ishii, Takaharu, 2012. "Do Community-Managed Schools Facilitate Social Capital Accumulation? Evidence from the COGES Project in Burkina Faso," Working Papers 42, JICA Research Institute.
    52. Battiston, Diego, 2013. "The impact of immigration on the labour market: Evidence from 20 years of cross-border migration to Argentina," MPRA Paper 52424, University Library of Munich, Germany.
    53. Theodossiou, I. & Zangelidis, A., 2009. "The social gradient in health: The effect of absolute income and subjective social status assessment on the individual's health in Europe," Economics & Human Biology, Elsevier, vol. 7(2), pages 229-237, July.
    54. Okudaira, Hiroko, 2018. "The economic costs of court decisions concerning dismissals in Japan: Identification by judge transfers," International Review of Law and Economics, Elsevier, vol. 53(C), pages 60-75.
    55. Nabamita Dutta & Peter T. Leeson & Claudia R. Williamson, 2013. "The Amplification Effect: Foreign Aid's Impact on Political Institutions," Kyklos, Wiley Blackwell, vol. 66(2), pages 208-228, May.
    56. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    57. Romanos Priftis & Anastasia Theofilakou, 2021. "Growth effects of corporate balance sheet adjustments in the EU," Empirical Economics, Springer, vol. 60(2), pages 773-801, February.
    58. Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.

  48. Kezdi, Gabor & Hahn, Jinyong & Solon, Gary, 2002. "Jackknife minimum distance estimation," Economics Letters, Elsevier, vol. 76(1), pages 35-45, June.

    Cited by:

    1. Thierry Magnac & Sébastien Roux, 2009. "Dynamique des salaires dans une cohorte," Économie et Prévision, Programme National Persée, vol. 187(1), pages 1-24.
    2. Creel, Michael & Kristensen, Dennis, 2011. "Indirect Likelihood Inference," Dynare Working Papers 8, CEPREMAP.
    3. Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers 03/04, Institute for Fiscal Studies.
    4. Horn, Dániel & Lindner, Attila, 2022. "Kézdi Gábor (1971-2021) [Gábor Kézdi (1971-2021)]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1245-1254.
    5. Whitney K. Newey & Richard Smith, 2003. "Higher order properties of GMM and generalised empirical likelihood estimators," CeMMAP working papers CWP04/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Zhang, Rui & Shonkwiler, J. Scott, 2017. "Bias Correction of Welfare measures in Non-Market Valuation: Comparison of the Delta Method, Jackknife and Bootstrap," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258099, Agricultural and Applied Economics Association.

  49. Jinyong Hahn & Atsushi Inoue, 2002. "A Monte Carlo Comparison Of Various Asymptotic Approximations To The Distribution Of Instrumental Variables Estimators," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 309-336.

    Cited by:

    1. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
    2. Charles Nelson & Richard Startz & Eric Zivot, 2000. "Improved Inference for the Instrumental Variables Estimator," Econometric Society World Congress 2000 Contributed Papers 1600, Econometric Society.
    3. Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen & John C. Chao & Norman R. Swanson, 2012. "Instrumental variable estimation with heteroskedasticity and many instruments," Quantitative Economics, Econometric Society, vol. 3(2), pages 211-255, July.
    4. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
    5. John Chao & Norman Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Departmental Working Papers 200421, Rutgers University, Department of Economics.
    6. Kweh, Qian Long & Tebourbi, Imen & Lo, Huai-Chun & Huang, Cheng-Tsu, 2022. "CEO compensation and firm performance: Evidence from financially constrained firms," Research in International Business and Finance, Elsevier, vol. 61(C).
    7. Carrasco, Marine & Tchuente, Guy, 2015. "Regularized LIML for many instruments," Journal of Econometrics, Elsevier, vol. 186(2), pages 427-442.
    8. Christl Michael & Köppl-Turyna Monika & Kucsera Dénes, 2018. "Revisiting the Employment Effects of Minimum Wages in Europe," German Economic Review, De Gruyter, vol. 19(4), pages 426-465, December.
    9. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2008. "Inference regarding multiple structural changes in linear models estimated via two stage least squares," MPRA Paper 9251, University Library of Munich, Germany, revised 20 Jun 2008.
    10. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    11. Park, Albert & Brandt, Loren & Giles, John, 2003. "Competition under credit rationing: theory and evidence from rural China," Journal of Development Economics, Elsevier, vol. 71(2), pages 463-495, August.
    12. Jan F. Kiviet & Jerzy Niemczyk, 2014. "On the Limiting and Empirical Distributions of IV Estimators When Some of the Instruments are Actually Endogenous," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 425-490, Emerald Group Publishing Limited.
    13. Neil Kellard & Denise Osborn & Jerry Coakley & Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2015. "Structural Break Inference Using Information Criteria in Models Estimated by Two-Stage Least Squares," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 741-762, September.
    14. Abutaliev, Albert & Anatolyev, Stanislav, 2013. "Asymptotic variance under many instruments: Numerical computations," Economics Letters, Elsevier, vol. 118(2), pages 272-274.
    15. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2012. "Inference regarding multiple structural changes in linear models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 170(2), pages 281-302.
    16. 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.
    17. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    18. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University.
    19. Christian Hansen & Jerry Hausman & Whitney K. Newey, 2006. "Estimation with many instrumental variables," CeMMAP working papers CWP19/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Kiviet, Jan F. & Niemczyk, Jerzy, 2007. "The asymptotic and finite sample distributions of OLS and simple IV in simultaneous equations," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3296-3318, April.
    21. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    22. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2008. "Asymptotic Distribution Theory for Break Point Estimators in Models Estimated via 2SLS," MPRA Paper 9472, University Library of Munich, Germany.
    23. Otilia Boldea & Alastair Hall & Sanggohn Han, 2010. "Uncertainty, Entrepreneurship and the Organisation of Corruption," Centre for Growth and Business Cycle Research Discussion Paper Series 134, Economics, The University of Manchester.
    24. Joura, Essam & Xiao, Qin & Ullah, Subhan, 2021. "The impact of Say-on-Pay votes on firms' strategic policies: Insights from the Anglo-Saxon economy," International Review of Financial Analysis, Elsevier, vol. 73(C).

  50. Jinyong Hahn & Jerry Hausman, 2002. "A New Specification Test for the Validity of Instrumental Variables," Econometrica, Econometric Society, vol. 70(1), pages 163-189, January.
    See citations under working paper version above.
  51. Hahn, Jinyong & Kuersteiner, Guido, 2002. "Discontinuities of weak instrument limiting distributions," Economics Letters, Elsevier, vol. 75(3), pages 325-331, May.

    Cited by:

    1. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    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. John Chao & Norman Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Departmental Working Papers 200421, Rutgers University, Department of Economics.
    4. Maurice J.G. Bun & Frank Windmeijer, 2011. "A Comparison of Bias Approximations for the 2SLS Estimator," Tinbergen Institute Discussion Papers 11-088/4, Tinbergen Institute.
    5. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Donna Feir & Thomas Lemieux & Vadim Marmer, 2016. "Weak Identification in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 185-196, April.
    7. Jolejole-Foreman, Maria Christina & Mallory, Mindy L. & Baylis, Katherine R., 2013. "Impact of Wheat and Rice Export Ban on Indian Market Integration," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150595, Agricultural and Applied Economics Association.
    8. Patrik Guggenberger & Frank Kleibergen & Sophocles Mavroeidis, 2021. "A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity," Papers 2103.11371, arXiv.org, revised Oct 2022.
    9. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    10. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    11. Mehmet Caner, 2005. "Higher Order Expansions in GMM with Nearly Weak and Many Nearly Weak Instruments," Working Paper 209, Department of Economics, University of Pittsburgh, revised Jan 2005.
    12. Nam-Hyun Kim & Winfried Pohlmeier, 2015. "A Regularization Approach to Biased Two-Stage Least Squares Estimation," Working Paper series 15-22, Rimini Centre for Economic Analysis.
    13. Bertille Antoine & Eric Renault, 2012. "Efficient Inference with Poor Instruments: a General Framework," Discussion Papers dp12-04, Department of Economics, Simon Fraser University.
    14. George Kapetanios & Massimiliano Marcellino, 2008. "Cross-sectional Averaging and Instrumental Variable Estimation with Many Weak Instruments," Working Papers 627, Queen Mary University of London, School of Economics and Finance.
    15. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.
    16. 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.
    17. Bertille Antoine & Eric Renault, 2012. "Efficient Minimum Distance Estimation with Multiple Rates of Convergence," Discussion Papers dp12-03, Department of Economics, Simon Fraser University.
    18. Antoine, Bertille & Renault, Eric, 2020. "Testing identification strength," Journal of Econometrics, Elsevier, vol. 218(2), pages 271-293.
    19. Zongwu Cai & Henong Li, 2013. "Convergency and Divergency of Functional Coefficient Weak Instrumental Variables Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    20. George Kapetanios & Massimiliano Marcellino, 2006. "Factor-GMM Estimation with Large Sets of Possibly Weak Instruments," Working Papers 577, Queen Mary University of London, School of Economics and Finance.
    21. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    22. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    23. Xu Cheng, 2014. "Uniform Inference in Nonlinear Models with Mixed Identification Strength," PIER Working Paper Archive 14-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    24. Antoine, Bertille & Lavergne, Pascal, 2014. "Conditional moment models under semi-strong identification," Journal of Econometrics, Elsevier, vol. 182(1), pages 59-69.
    25. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.
    26. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    27. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    28. Mehmet Caner, 2011. "A Pretest to Differentiate Between Weak and Nearly-Weak Instrument Asymptotics," International Econometric Review (IER), Econometric Research Association, vol. 3(2), pages 13-21, September.
    29. Juli'an Mart'inez-Iriarte & Pietro Emilio Spini, 2022. "MTE with Misspecification," Papers 2204.10445, arXiv.org.
    30. Bertille Antoine & Otilia Boldea, 2014. "Efficient Inference with Time-Varying Identification Strength," Discussion Papers dp14-03, Department of Economics, Simon Fraser University.
    31. Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.

  52. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.

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    1. Kirdar, Murat & Meltem, Dayioglu & Ismet, Koc, 2016. "The Effect of Compulsory Schooling Laws on Teenage Marriage and Births in Turkey," MPRA Paper 72119, University Library of Munich, Germany.
    2. Erich Battistin & Agar Brugiavini & Enrico Rettore & Guglielmo Weber, 2008. "The retirement consumption puzzle: evidence from a regression discontinuity approach," IFS Working Papers W08/05, Institute for Fiscal Studies.
    3. Michael Gerfin & Boris Kaiser & Christian Schmid, 2014. "Health Care Demand in the Presence of Discrete Price Changes," Diskussionsschriften dp1403, Universitaet Bern, Departement Volkswirtschaft.
    4. Seo, Myung Hwan & Linton, Oliver, 2007. "A smoothed least squares estimator for threshold regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 704-735, December.
    5. Pan, Yao & Smith, Stephen C. & Sulaiman, Munshi, 2015. "Agricultural Extension and Technology Adoption for Food Security: Evidence from Uganda," IZA Discussion Papers 9206, Institute of Labor Economics (IZA).
    6. 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).
    7. Brachert, Matthias & Dettmann, Eva & Titze, Mirko, 2019. "The regional effects of a place-based policy – Causal evidence from Germany," Regional Science and Urban Economics, Elsevier, vol. 79(C).
    8. Sylvain Chareyron & Naomie Mahmoudi, 2022. "The e ects of disability benefits on the employment of low-skilled youth: Evidence from France," TEPP Working Paper 2022-20, TEPP.
    9. Fremeth, Adam & Richter, Brian & Schaufele, Brandon, 2018. "Spillovers from regulating corporate campaign contributions," MPRA Paper 87612, University Library of Munich, Germany.
    10. Raffaello Bronzini & Eleonora Iachini, 2014. "Are Incentives for R&D Effective? Evidence from a Regression Discontinuity Approach," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 100-134, November.
    11. Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," IZA Discussion Papers 10801, Institute of Labor Economics (IZA).
    12. Schlosser, Analia & Steinhauer, Andreas & Zweimuller, Josef, 2011. "Parental Leave and Mothers' Careers: The Relative Importance of Job Protection and Cash Benets," Foerder Institute for Economic Research Working Papers 275741, Tel-Aviv University > Foerder Institute for Economic Research.
    13. Picchio, Matteo & Santolini, Raffaella, 2020. "Fiscal rules and budget forecast errors of Italian municipalities," European Journal of Political Economy, Elsevier, vol. 64(C).
    14. Virtanen, Hanna & Silliman, Mikko & Kuuppelomäki, Tiina & Huttunen, Kristiina, 2024. "Education, Gender, and Family Formation," ETLA Working Papers 116, The Research Institute of the Finnish Economy.
    15. Sandra E. Black & Paul J. Devereux & Katrine V. L�ken & Kjell G. Salvanes, 2014. "Care or Cash? The Effect of Child Care Subsidies on Student Performance," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 824-837, December.
    16. Edwin Leuven & Hessel Oosterbeek, 2002. "Evaluating the effect of tax deductions on training," Labor and Demography 0205001, University Library of Munich, Germany.
    17. Hullegie, P.G.J., 2012. "Essays on health and labor economics," Other publications TiSEM dcc68fc9-7af1-4ba9-8f90-6, Tilburg University, School of Economics and Management.
    18. 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.
    19. Einiö, Elias & Overman, Henry G., 2016. "The (displacement) effects of spatially targeted enterprise initiatives: evidence from UK LEGI," LSE Research Online Documents on Economics 66493, London School of Economics and Political Science, LSE Library.
    20. Aline Bütikofer & Rita Ginja & Fanny Landaud & Katrine Løken, 2020. "School Selectivity, Peers, and Mental Health," Working Papers 2020-074, Human Capital and Economic Opportunity Working Group.
    21. Peter M. Steiner & Yongnam Kim & Courtney E. Hall & Dan Su, 2017. "Graphical Models for Quasi-experimental Designs," Sociological Methods & Research, , vol. 46(2), pages 155-188, March.
    22. Li, Yaoyao & Zhu, Daolin & Zhao, Jiangmeng & Zheng, Xiaodong & Zhang, Lanyue, 2020. "Effect of the housing purchase restriction policy on the Real Estate Market: Evidence from a typical suburb of Beijing, China," Land Use Policy, Elsevier, vol. 94(C).
    23. Deng, Tinghe & Chen, Qihui & Bai, Junfei, 2016. "Understanding the Retirement-Consumption Puzzle through the Lens of Food Consumption − Fuzzy Regression-Discontinuity Evidence from Urban China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235540, Agricultural and Applied Economics Association.
    24. Eugster, Beatrix & Balestra, Simone & Liebert, Helge, 2017. "The Effect of School Starting Age on Special Needs Incidence and Child Development into Adolescence," CEPR Discussion Papers 12515, C.E.P.R. Discussion Papers.
    25. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    26. Takuya Ishihara & Masayuki Sawada, 2020. "Manipulation-Robust Regression Discontinuity Designs," Papers 2009.07551, arXiv.org, revised Sep 2024.
    27. Feng, Andy & Graetz, Georg, 2013. "A question of degree: the effects of degree class on labor market outcomes," LSE Research Online Documents on Economics 51562, London School of Economics and Political Science, LSE Library.
    28. David Card & Raj Chetty & Andrea Weber, 2006. "Cash-on-Hand and Competing Models of Intertemporal Behavior: New Evidence from the Labor Market," NBER Working Papers 12639, National Bureau of Economic Research, Inc.
    29. 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.
    30. Deng, Tinghe & Chen, Qihui & Bai, Junfei, 2016. "Understanding the Retirement-Consumption Puzzle through the Lens of Food Consumption − Fuzzy Regression-Discontinuity Evidence from Urban China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235535, Agricultural and Applied Economics Association.
    31. Carlos medina & Jairo Núñez & Jorge Andrés Tamayo, 2013. "The Unemployment Subsidy Program in Colombia: An Assessment," Borradores de Economia 750, Banco de la Republica de Colombia.
    32. Bonaccorsi di Patti, Emilia & Moscatelli, Mirko & Pietrosanti, Stefano, 2023. "The impact of bank regulation on the cost of credit: Evidence from a discontinuity in capital requirements," Journal of Financial Intermediation, Elsevier, vol. 55(C).
    33. 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.
    34. Alexander Hijzen & Leopoldo Mondauto & Stefano Scarpetta, 2013. "The Perverse Effects of Job-security Provisions on Job Security in Italy: Results from a Regression Discontinuity Design," OECD Social, Employment and Migration Working Papers 151, OECD Publishing.
    35. You, Jing, 2013. "The role of microcredit in older children’s nutrition: Quasi-experimental evidence from rural China," Food Policy, Elsevier, vol. 43(C), pages 167-179.
    36. 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.
    37. Olivier Bargain & Karina Doorley, 2009. "Caught in the Trap? The Disincentive Effect of Social Assistance," Working Papers 200917, Geary Institute, University College Dublin.
    38. 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.
    39. Pietro Garibaldi & Francesco Giavazzi & Andrea Ichino & Enrico Rettore, 2007. "College Cost and Time to Complete a Degree: Evidence from Tuition Discontinuities," NBER Working Papers 12863, National Bureau of Economic Research, Inc.
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    1. Norman E. Hutchison & Alla Koblyakova & Bryan D. MacGregor, 2024. "Equity Release Mortgages in the UK: Regional Characteristics of Demand and Supply," International Real Estate Review, Global Social Science Institute, vol. 27(4), pages 441-469.
    2. Alla Koblyakova & Larisa Fleishman & Orly Furman, 2022. "Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 48-74, July.

  54. Hahn, Jinyong, 2001. "Comment: Binary Regressors in Nonlinear Panel-Data Models with Fixed Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 16-17, January.

    Cited by:

    1. Peter Hull, 2018. "Estimating Treatment Effects in Mover Designs," Papers 1804.06721, arXiv.org.
    2. Victor Aguirregabiria & Jesus M. Carro, 2021. "Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models," Papers 2107.06141, arXiv.org, revised Jul 2024.
    3. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    4. Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
    5. Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
    6. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    7. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Identification and Estimation of Marginal Effects in Nonlinear Panel Models," Boston University - Department of Economics - Working Papers Series wp2009-b, Boston University - Department of Economics.
    8. Jeffrey M. Wooldridge, 2004. "On the robustness of fixed effects and related estimators in correlated random coefficient panel data models," CeMMAP working papers 04/04, Institute for Fiscal Studies.
    9. Andrew Adrian Yu Pua, 2015. "On IV estimation of a dynamic linear probability model with fixed effects," UvA-Econometrics Working Papers 15-01, Universiteit van Amsterdam, Dept. of Econometrics.
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    24. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.
    25. Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
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    1. Binder, M. & Hsaio, C. & Pesaran, M.H., 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Cambridge Working Papers in Economics 0003, Faculty of Economics, University of Cambridge.
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    4. Chirok Han & Hyelim Lee, 2013. "Dependence Of Economic Growth On Co2 Emissions," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(1), pages 47-57, March.
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    6. Gareth M. Thomas & Seung C. Ahn, 2004. "Likelihood Based Inference for amic Panel Data Models," Econometric Society 2004 Far Eastern Meetings 669, Econometric Society.
    7. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    8. Jerry A. Hausman & Maxim L. Pinkovskiy, 2017. "Estimating dynamic panel models: backing out the Nickell Bias," Staff Reports 824, Federal Reserve Bank of New York.
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    12. Giorgio Calzolari & Laura Magazzini, 2014. "Improving GMM efficiency in dynamic models for panel data with mean stationarity," Working Papers 12/2014, University of Verona, Department of Economics.
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    33. Moshe Buchinsky & Phillip Leslie, 2010. "Educational Attainment and the Changing U.S. Wage Structure: Dynamic Implications on Young Individuals' Choices," Journal of Labor Economics, University of Chicago Press, vol. 28(3), pages 541-594, July.
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    44. Jiang, Rong & Qian, Weimin & Zhou, Zhangong, 2012. "Variable selection and coefficient estimation via composite quantile regression with randomly censored data," Statistics & Probability Letters, Elsevier, vol. 82(2), pages 308-317.
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    1. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    2. Laurent Davezies & Xavier D'Haultfœuille & Martin Mugnier, 2023. "Fixed‐effects binary choice models with three or more periods," Quantitative Economics, Econometric Society, vol. 14(3), pages 1105-1132, July.
    3. Laurent Davezies & Xavier D'Haultf{oe}uille & Louise Laage, 2021. "Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models," Papers 2105.00879, arXiv.org, revised Dec 2024.
    4. Otilia Boldea & Bettina Drepper & Zhuojiong Gan, 2020. "Change point estimation in panel data with time‐varying individual effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 712-727, September.
    5. Dahlberg, Matz & Lundin, Douglas, 2005. "Antidepressants and the Suicide Rate: Is There Really a Connection?," Working Paper Series 2005:4, Uppsala University, Department of Economics.
    6. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    7. Nicholas Brown & Jeffrey Wooldridge, 2023. "More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation," Working Paper 1497, Economics Department, Queen's University.
    8. Martins, Igor, 2019. "An Act for the Abolition of the Slave Trade: The Effects of an Import Ban on Cape Colony Slaveholders," African Economic History Working Paper 43/2019, African Economic History Network.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2023. "The role of score and information bias in panel data likelihoods," Journal of Econometrics, Elsevier, vol. 235(2), pages 1215-1238.
    11. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    12. Nicholas Brown, 2023. "Information Equivalence among Transformations of Semi‐parametric Nonlinear Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(6), pages 1341-1361, December.
    13. Lindvall, Lars, 2003. "Does Public Spending on Youths Affect Crime Rates?," Working Paper Series 2004:3, Uppsala University, Department of Economics.

  63. Hahn, Jinyong, 1997. "Bayesian Bootstrap of the Quantile Regression Estimator: A Large Sample Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(4), pages 795-808, November.

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    1. Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile regression with censoring and endogeneity," CeMMAP working papers CWP20/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. 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.
    5. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    6. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers 77/13, Institute for Fiscal Studies.
    7. David M. Kaplan & Lonnie Hofmann, 2019. "High-order coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 1914, Department of Economics, University of Missouri, revised 19 Sep 2020.
    8. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    9. Victor Chernozhukov & Han Hong, 2023. "An MCMC Approach to Classical Estimation," Papers 2301.07782, arXiv.org.
    10. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022. "Fast algorithms for the quantile regression process," Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
    11. David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
    12. Giuseppe Ragusa, 2007. "Bayesian Likelihoods for Moment Condition Models," Working Papers 060714, University of California-Irvine, Department of Economics.
    13. Yang Yang & Tae-Hwy Lee, 2004. "Bagging Binary Predictors for Time Series," Econometric Society 2004 Far Eastern Meetings 512, Econometric Society.
    14. Ying-Ying Lee, 2015. "Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification," Econometrics, MDPI, vol. 4(1), pages 1-14, December.
    15. Pablo Guerrón-Quintana & Atsushi Inoue & Lutz Kilian, 2009. "Frequentist inference in weakly identified DSGE models," Working Papers 09-13, Federal Reserve Bank of Philadelphia.

  64. Hahn, Jinyong, 1997. "Efficient estimation of panel data models with sequential moment restrictions," Journal of Econometrics, Elsevier, vol. 79(1), pages 1-21, July.

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    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Koenker, Roger & Machado, Jose A. F., 1999. "GMM inference when the number of moment conditions is large," Journal of Econometrics, Elsevier, vol. 93(2), pages 327-344, December.
    3. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    4. Inkmann, Joachim, 2000. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," Journal of Econometrics, Elsevier, vol. 97(2), pages 227-259, August.
    5. 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.
    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. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    8. Chamberlain, Gary, 2022. "Feedback in panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 4-20.
    9. Christian Gouriéroux & Peter C. B. Phillips & Jun Yu, 2006. "Indirect Inference for Dynamic Panel Models," Development Economics Working Papers 22421, East Asian Bureau of Economic Research.
    10. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
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    10. 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.
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    97. Jayabrata Biswas & Kiranmoy Das, 2021. "A Bayesian quantile regression approach to multivariate semi-continuous longitudinal data," Computational Statistics, Springer, vol. 36(1), pages 241-260, March.
    98. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  67. Jinyong Hahn, 1994. "The Efficiency Bound of the Mixed Proportional Hazard Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 607-629.

    Cited by:

    1. Bo E. Honoré & Áureo de Paula, 2016. "A new model for interdependent durations with an application to joint retirement," CeMMAP working papers 07/16, Institute for Fiscal Studies.
    2. Govert Bijwaard & Geert Ridder & Tiemen Woutersen, 2012. "A Simple GMM Estimator for the Semiparametric Mixed Proportional Hazard Model," Norface Discussion Paper Series 2012035, Norface Research Programme on Migration, Department of Economics, University College London.
    3. Chen, Xiaohong & Liao, Zhipeng, 2014. "Sieve M inference on irregular parameters," Journal of Econometrics, Elsevier, vol. 182(1), pages 70-86.
    4. Joel L. Horowitz & Sokbae Lee, 2002. "Semiparametric Estimation of a Panel Data Proportional Hazards Model with Fixed Effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-3, International Conferences on Panel Data.
    5. Jerry Hausman & Tiemen M. Woutersen, 2005. "Estimating a semi-parametric duration model without specifying heterogeneity," CeMMAP working papers CWP11/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    7. Khan, Shakeeb & Nekipelov, Denis, 2024. "On uniform inference in nonlinear models with endogeneity," Journal of Econometrics, Elsevier, vol. 240(2).
    8. Bo E. Honoré & Thomas Jorgensen & Áureo de Paula, 2019. "Sensitivity of Estimation Precision to Moments with an Application to a Model of Joint Retirement Planning of Couples," CeMMAP working papers CWP36/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Michael Baker & Angelo Melino, 1999. "Duration Dependence and Nonparametric Heterogeneity: A Monte Carlo Study," Working Papers melino-99-01, University of Toronto, Department of Economics.
    10. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    11. Bo E. Honoré & Aureo de Paula, 2009. ""Interdependent Durations" Third Version," PIER Working Paper Archive 09-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Feb 2008.
    12. de Paula, Aureo, 2020. "The Informativeness of Estimation Moments," CEPR Discussion Papers 14298, C.E.P.R. Discussion Papers.
    13. Bo E. Honor & Áureo De Paula, 2010. "Interdependent Durations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1138-1163.
    14. Abbring, Jaap H. & Berg, Gerard J. van den, 2000. "The non-parametric identification of the mixed proportional hazards competing risks model," Serie Research Memoranda 0024, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    15. Jerry Hausman & Tiemen Woutersen, 2014. "Estimating the Derivative Function and Counterfactuals in Duration Models with Heterogeneity," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 472-496, August.
    16. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
    17. Sadat Reza & Paul Rilstone, 2016. "Semiparametric Efficiency Bounds and Efficient Estimation of Discrete Duration Models with Unspecified Hazard Rate," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 693-726, May.
    18. Bearse, Peter & Canals, Jose & Rilstone, Paul, 1998. "Consistent standard errors for semiparametric duration models with unobserved heterogeneity," Economics Letters, Elsevier, vol. 59(2), pages 153-156, May.
    19. Bo E. Honore & Aureo de Paula, 2007. "Interdependent Durations, Second Version," PIER Working Paper Archive 08-044, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Nov 2008.
    20. Mansi Sharma & Steven Stern, 2024. "Generalized Weibull Distributions," Department of Economics Working Papers 24-05, Stony Brook University, Department of Economics.

Chapters

  1. Jinyong Hahn & Jerry Hausman, 2010. "Estimation with Valid and Invalid Instruments," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 25-57, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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