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On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
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Cited by:
- James J. Heckman & Petra E. Todd, 2009.
"A note on adapting propensity score matching and selection models to choice based samples,"
Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 230-234, January.
- Heckman, James J. & Todd, Petra E., 2009. "A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples," IZA Discussion Papers 4304, Institute of Labor Economics (IZA).
- James J. Heckman & Petra E. Todd, 2009. "A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples," NBER Working Papers 15179, National Bureau of Economic Research, Inc.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008.
"Nonparametric Tests for Treatment Effect Heterogeneity,"
The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
- Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," IZA Discussion Papers 2091, Institute of Labor Economics (IZA).
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," NBER Technical Working Papers 0324, National Bureau of Economic Research, Inc.
- Mitnik, Oscar K. & Imbens, Guido & Hotz, V. Joseph & Crump, Richard K., 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," Scholarly Articles 3039049, Harvard University Department of Economics.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," Working Papers 0609, University of Miami, Department of Economics.
- Zhexiao Lin & Peng Ding & Fang Han, 2023. "Estimation Based on Nearest Neighbor Matching: From Density Ratio to Average Treatment Effect," Econometrica, Econometric Society, vol. 91(6), pages 2187-2217, November.
- Richard Blundell & Monica Costa Dias, 2009.
"Alternative Approaches to Evaluation in Empirical Microeconomics,"
Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
- Richard Blundell & Monica Costa Dias, 2002. "Alternative approaches to evaluation in empirical microeconomics," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 91-115, August.
- Richard Blundell & Monica Costa Dias, 2002. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers CWP10/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Richard Blundell & Monica Costa Dias, 2002. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers 10/02, Institute for Fiscal Studies.
- Richard Blundell & Monica Costa Dias, 2008. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers CWP26/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Richard Blundell & Mónica Costa Dias, 2008. "Alternative Approaches to Evaluation in Empirical Microeconomics," CEF.UP Working Papers 0805, Universidade do Porto, Faculdade de Economia do Porto.
- Richard Blundell & Monica Costa Dias, 2008. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers 26/08, Institute for Fiscal Studies.
- Blundell, Richard & Costa Dias, Monica, 2008. "Alternative Approaches to Evaluation in Empirical Microeconomics," IZA Discussion Papers 3800, Institute of Labor Economics (IZA).
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2011.
"The effects at home of initiating production abroad: evidence from matched French firms,"
Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(3), pages 457-483, September.
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2009. "The Effects at Home of Initiating Production Abroad: Evidence from Matched French Firms," Working Papers 2009-39, CEPII research center.
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2011. "The effects at home of initiating production abroad: evidence from matched french firms," Working Papers hal-03398947, HAL.
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2011. "The effects at home of initiating production abroad: evidence from matched French firms," Post-Print hal-00680707, HAL.
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2011. "The effects at home of initiating production abroad: evidence from matched French firms," SciencePo Working papers Main hal-00680707, HAL.
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2011. "The effects at home of initiating production abroad: evidence from matched french firms," SciencePo Working papers Main hal-03398947, HAL.
- Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2009. "The Effects at Home of Initiating Production Abroad: Evidence from Matched French Firms," Discussion Papers 09/24, University of Nottingham, GEP.
- Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
- Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
- 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.
- Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
- Kyoo il Kim, 2019. "Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric," Econometrics, MDPI, vol. 7(2), pages 1-13, May.
- Neng-Chieh Chang, 2020. "The Mode Treatment Effect," Papers 2007.11606, arXiv.org.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Frangakis Constantine, 2019. "A Falsifiability Characterization of Double Robustness Through Logical Operators," Journal of Causal Inference, De Gruyter, vol. 7(1), pages 1-4, March.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- Cuong NGUYEN, 2016. "An Introduction to Alternative Methods in Program Impact Evaluation," Journal of Economic and Social Thought, KSP Journals, vol. 3(3), pages 349-375, September.
- Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
- Martin Huber, 2019.
"An introduction to flexible methods for policy evaluation,"
Papers
1910.00641, arXiv.org.
- Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Kitagawa, Toru & Muris, Chris, 2016.
"Model averaging in semiparametric estimation of treatment effects,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 46/15, Institute for Fiscal Studies.
- 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.
- Cansino, José M. & Lopez-Melendo, Jaime & Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2013. "An economic evaluation of public programs for internationalization: The case of the Diagnostic program in Spain," Evaluation and Program Planning, Elsevier, vol. 41(C), pages 38-46.
- Wang, Qihua & Lai, Peng, 2011. "Empirical likelihood calibration estimation for the median treatment difference in observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1596-1609, April.
- Wei, Kecheng & Qin, Guoyou & Zhang, Jiajia & Sui, Xuemei, 2022. "Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
- John C. Ham & Xianghong Li & Patricia B. Reagan, 2004.
"Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men,"
IEPR Working Papers
05.13, Institute of Economic Policy Research (IEPR).
- John C. Ham & Xianghong Li & Patricia B. Reagan, 2004. "Propensity Score Matching, a Distance-Based Measure of Migration, and the Wage Growth of Young Men," Working Papers 2004_3, York University, Department of Economics.
- John C. Ham & Xianghong Li & Patricia Reagan, 2005. "Propensity score matching, a distance-based measure of migration, and the wage growth of young men," Staff Reports 212, Federal Reserve Bank of New York.
- Susan Athey & Guido W. Imbens, 2006.
"Identification and Inference in Nonlinear Difference-in-Differences Models,"
Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
- Susan Athey & Guido W. Imbens, 2002. "Identification and Inference in Nonlinear Difference-In-Differences Models," NBER Technical Working Papers 0280, National Bureau of Economic Research, Inc.
- Susan Athey & Guido Imbens, 2003. "Identification and Inference in Nonlinear Difference-in-Differences Models," Levine's Working Paper Archive 506439000000000079, David K. Levine.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2020.
"Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 303-316, April.
- Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers CWP10/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
- 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.
- Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024.
"ddml: Double/debiased machine learning in Stata,"
Stata Journal, StataCorp LP, vol. 24(1), pages 3-45, March.
- Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann & Achim Ahrens, 2022. "ddml: Double/debiased machine learning in Stata," Swiss Stata Conference 2022 02, Stata Users Group.
- Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2023. "ddml: Double/Debiased Machine Learning in Stata," IZA Discussion Papers 15963, Institute of Labor Economics (IZA).
- Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2023. "ddml: Double/debiased machine learning in Stata," Papers 2301.09397, arXiv.org, revised Jan 2024.
- Jelena Bradic & Stefan Wager & Yinchu Zhu, 2019. "Sparsity Double Robust Inference of Average Treatment Effects," Papers 1905.00744, arXiv.org.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- Lenis, David & Ackerman, Benjamin & Stuart, Elizabeth A., 2018. "Measuring model misspecification: Application to propensity score methods with complex survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 48-57.
- Schnitzer Mireille E. & Lok Judith J. & Gruber Susan, 2016. "Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 97-115, May.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2011.
"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls,"
Papers
1201.0224, arXiv.org, revised May 2012.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2012. "Inference on treatment effects after selection amongst high-dimensional controls," CeMMAP working papers CWP10/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "Inference on treatment effects after selection amongst high-dimensional controls," CeMMAP working papers 26/13, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2012. "Inference on treatment effects after selection amongst high-dimensional controls," CeMMAP working papers 10/12, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "Inference on treatment effects after selection amongst high-dimensional controls," CeMMAP working papers CWP26/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Guido W. Imbens, 2015.
"Matching Methods in Practice: Three Examples,"
Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
- Guido Imbens, 2014. "Matching Methods in Practice: Three Examples," NBER Working Papers 19959, National Bureau of Economic Research, Inc.
- Imbens, Guido W., 2014. "Matching Methods in Practice: Three Examples," IZA Discussion Papers 8049, Institute of Labor Economics (IZA).
- Tübbicke Stefan, 2022.
"Entropy Balancing for Continuous Treatments,"
Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
- Stefan Tubbicke, 2020. "Entropy Balancing for Continuous Treatments," Papers 2001.06281, arXiv.org, revised May 2020.
- Stefan Tübbicke, 2020. "Entropy Balancing for Continuous Treatments," CEPA Discussion Papers 21, Center for Economic Policy Analysis.
- Robert P. Bartlett & Justin McCrary, 2020. "Subsidizing Liquidity with Wider Ticks: Evidence from the Tick Size Pilot Study," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 262-316, June.
- Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016.
"Semiparametric Estimation With Generated Covariates,"
Econometric Theory, Cambridge University Press, vol. 32(5), pages 1140-1177, October.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2011. "Semiparametric Estimation with Generated Covariates," IZA Discussion Papers 6084, Institute of Labor Economics (IZA).
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2014. "Semiparametric Estimation with Generated Covariates," SFB 649 Discussion Papers 2014-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- 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.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric estimation with generated covariates," Working Paper Series in Economics 81, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- 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.
- Jochen Kluve & Hartmut Lehmann & Christoph M. Schmidt, 2002. "Disentangling Treatment Effects of Polish Active Labor Market Policies: Evidence from Matched Samples," William Davidson Institute Working Papers Series 447, William Davidson Institute at the University of Michigan.
- Schmidt, Christoph & Kluve, Jochen & Lehmann, Hartmut, 2002. "Disentangling Treatment Effects of Polish Active Labour Market Policies: Evidence from Matched Samples," CEPR Discussion Papers 3298, C.E.P.R. Discussion Papers.
- Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 2001. "Disentangling Treatment Effects of Polish Active Labor Market Policies: Evidence from Matched Samples," IZA Discussion Papers 355, Institute of Labor Economics (IZA).
- Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017.
"Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges,"
American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
- Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.
- Nguyen Viet, Cuong, 2006. "An Introduction to Alternative Methods in Program Impact Evaluation," MPRA Paper 24900, University Library of Munich, Germany.
- Sung Jae Jun & Sokbae Lee, 2024.
"Causal Inference Under Outcome-Based Sampling with Monotonicity Assumptions,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 998-1009, July.
- Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
- Guido W. Imbens, 1999. "The Role of the Propensity Score in Estimating Dose-Response Functions," NBER Technical Working Papers 0237, National Bureau of Economic Research, Inc.
- 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.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers CWP31/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2018. "Locally robust semiparametric estimation," CeMMAP working papers CWP30/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey, 2016. "Locally robust semiparametric estimation," CeMMAP working papers 31/16, Institute for Fiscal Studies.
- Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org, revised Feb 2025.
- Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2011.
"Adaptive Experimental Design Using the Propensity Score,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 96-108, January.
- 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.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009. "Adaptive Experimental Design Using the Propensity Score," Center Discussion Papers 47107, Yale University, Economic Growth Center.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 59, Yale University, Department of Economics.
- Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 969, Economic Growth Center, Yale University.
- Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019.
"Mostly harmless simulations? Using Monte Carlo studies for estimator selection,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
- Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
- Advani, Arun & Kitagawa, Toru & Słoczyński, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," The Warwick Economics Research Paper Series (TWERPS) 1192, University of Warwick, Department of Economics.
- Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2016. "Double/Debiased Machine Learning for Treatment and Causal Parameters," Papers 1608.00060, arXiv.org, revised Nov 2024.
- Taisuke Otsu & Chen Qiu, 2018. "Information theoretic approach to high dimensional multiplicative models: Stochastic discount factor and treatment effect," STICERD - Econometrics Paper Series 595, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- 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.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
- Timothy B. Armstrong & Michal Kolesár, 2021.
"Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness,"
Econometrica, Econometric Society, vol. 89(3), pages 1141-1177, May.
- Timothy B. Armstrong & Michal Koles'r, 2017. "Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Cowles Foundation Discussion Papers 2115R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2018.
- Timothy B. Armstrong & Michal Koles'ar, 2017. "Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Papers 1712.04594, arXiv.org, revised Jan 2021.
- Timothy B. Armstrong & Michal Koles'r, 2017. "Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness," Cowles Foundation Discussion Papers 2115, Cowles Foundation for Research in Economics, Yale University.
- Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
- Bryan S. Graham, 2011.
"Efficiency Bounds for Missing Data Models With Semiparametric Restrictions,"
Econometrica, Econometric Society, vol. 79(2), pages 437-452, March.
- Bryan S. Graham, 2008. "Efficiency bounds for missing data models with semiparametric restrictions," NBER Working Papers 14376, National Bureau of Economic Research, Inc.
- Sokbae (Simon) Lee & Yoon-Jae Whang, 2009.
"Nonparametric tests of conditional treatment effects,"
CeMMAP working papers
CWP36/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Yoon-Jae Whang, 2009. "Nonparametric Tests of Conditional Treatment Effects," Cowles Foundation Discussion Papers 1740, Cowles Foundation for Research in Economics, Yale University.
- Feng, Sanying & Kong, Kaidi & Kong, Yinfei & Li, Gaorong & Wang, Zhaoliang, 2022. "Statistical inference of heterogeneous treatment effect based on single-index model," Computational Statistics & Data Analysis, Elsevier, vol. 175(C).
- Athey, Susan & Imbens, Guido W. & Metzger, Jonas & Munro, Evan, 2024.
"Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations,"
Journal of Econometrics, Elsevier, vol. 240(2).
- Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
- Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
- Susan Athey & Stefan Wager, 2021.
"Policy Learning With Observational Data,"
Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
- Susan Athey & Stefan Wager, 2017. "Policy Learning with Observational Data," Papers 1702.02896, arXiv.org, revised Sep 2020.
- Frolich, Markus, 2007.
"Nonparametric IV estimation of local average treatment effects with covariates,"
Journal of Econometrics, Elsevier, vol. 139(1), pages 35-75, July.
- Markus Froelich, 2002. "Nonparametric IV estimation of local average treatment effects with covariates," University of St. Gallen Department of Economics working paper series 2002 2002-19, Department of Economics, University of St. Gallen.
- Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute of Labor Economics (IZA).
- Malcolm Keswell & Justine Burns & Rebecca Thornton, 2012.
"Evaluating the Impact of Health Programmes on Productivity,"
African Development Review, African Development Bank, vol. 24(4), pages 302-315.
- Malcolm Keswell & Justine Burns & Rebecca Thornton, 2012. "Evaluating the Impact of Health Programmes on Productivity," African Development Review, African Development Bank, vol. 24(4), pages 302-315, December.
- 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.
- Samuel D. Lendle & Meenakshi S. Subbaraman & Mark J. van der Laan, 2013. "Identification and Efficient Estimation of the Natural Direct Effect among the Untreated," Biometrics, The International Biometric Society, vol. 69(2), pages 310-317, June.
- 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.
- Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
- Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
- Hidehiko Ichimura & Whitney K. Newey, 2022.
"The influence function of semiparametric estimators,"
Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.
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