Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
- Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
- Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.
- Derya Uysal, 2023. "Abadie's kappa and weighting estimators of the local average treatment effect," Economics Virtual Symposium 2023 01, Stata Users Group.
References listed on IDEAS
- Cruces, Guillermo & Galiani, Sebastian, 2007.
"Fertility and female labor supply in Latin America: New causal evidence,"
Labour Economics, Elsevier, vol. 14(3), pages 565-573, June.
- Sebastian Galiani & Guillermo Cruces, 2005. "Fertility and Female Labor Supply in Latin America: New Causal Evidence," Working Papers 84, Universidad de San Andres, Departamento de Economia, revised Jun 2007.
- Guillermo Cruces & Sebastian Galiani, 2005. "Fertility and Female Labor Supply in Latin America: New Causal Evidence," Labor and Demography 0511011, University Library of Munich, Germany.
- Cruces, Guillermo Antonio & Galiani, Sebastián, 2006. "Fertility and female labour supply in Latin America: new causal evidence," Financiamiento para el Desarrollo 5159, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
- 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.
- Atila Abdulkadiroglu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2015. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," NBER Working Papers 21705, National Bureau of Economic Research, Inc.
- Abdulkadiroglu, Atila & Angrist, Joshua & Narita, Yusuke & Pathak, Parag A., 2016. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," IZA Discussion Papers 10429, Institute of Labor Economics (IZA).
- Atila Abdulkadiroglu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2017. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," Cowles Foundation Discussion Papers 2080, Cowles Foundation for Research in Economics, Yale University.
- Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
- Angrist, Joshua D, 1990.
"Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records,"
American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
- Joshua D. Angrist, 1989. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," Working Papers 631, Princeton University, Department of Economics, Industrial Relations Section..
- Thomas MaCurdy & Xiaohong Chen & Han Hong, 2011. "Flexible Estimation of Treatment Effect Parameters," American Economic Review, American Economic Association, vol. 101(3), pages 544-551, May.
- Ismael Mourifié & Yuanyuan Wan, 2017.
"Testing Local Average Treatment Effect Assumptions,"
The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 305-313, May.
- Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
- Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012.
"Inverse Probability Tilting for Moment Condition Models with Missing Data,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.
- 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).
- Gopi Shah Goda & Damon Jones & Colleen Flaherty Manchester, 2017. "Retirement Plan Type and Employee Mobility: The Role of Selection," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 654-679.
- Millimet, Daniel L. & Tchernis, Rusty, 2009.
"On the Specification of Propensity Scores, With Applications to the Analysis of Trade Policies,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 397-415.
- Daniel Millimet & Rusty Tchernis, 2006. "On the Specification of Propensity Scores: with Applications to the Analysis of Trade Policies," CAEPR Working Papers 2006-013, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, revised Jan 2008.
- Skinner, Chris J. & Wakefield, Jon, 2017. "Introduction to the design and analysis of complex survey data," LSE Research Online Documents on Economics 76991, London School of Economics and Political Science, LSE Library.
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- Rosenzweig, Mark R & Wolpin, Kenneth I, 1980. "Testing the Quantity-Quality Fertility Model: The Use of Twins as a Natural Experiment," Econometrica, Econometric Society, vol. 48(1), pages 227-240, January.
- 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.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- 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.
- Han Hong & Denis Nekipelov, 2010. "Semiparametric efficiency in nonlinear LATE models," Quantitative Economics, Econometric Society, vol. 1(2), pages 279-304, November.
- 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).
- 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.
- Tan, Zhiqiang, 2006. "Regression and Weighting Methods for Causal Inference Using Instrumental Variables," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1607-1618, December.
- Sloczynski, Tymon & Uysal, Derya & Wooldridge, Jeffrey M., 2022.
"Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment,"
IZA Discussion Papers
15727, Institute of Labor Economics (IZA).
- Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment," CESifo Working Paper Series 10105, CESifo.
- Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment," Papers 2208.01300, arXiv.org, revised Nov 2022.
- 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.
- Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity for LATE identification based on inequality moment constraints," Economics Working Paper Series 1143, University of St. Gallen, School of Economics and Political Science.
- Tomasz Olma, 2021. "Nonparametric Estimation of Truncated Conditional Expectation Functions," Papers 2109.06150, arXiv.org.
- A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen, 2017.
"Program Evaluation and Causal Inference With High‐Dimensional Data,"
Econometrica, Econometric Society, vol. 85, pages 233-298, January.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen, 2013. "Program Evaluation and Causal Inference with High-Dimensional Data," Papers 1311.2645, arXiv.org, revised Jan 2018.
- 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.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Callaway, Brantly & Sant’Anna, Pedro H.C., 2021.
"Difference-in-Differences with multiple time periods,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
- Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
- Rahul Singh & Liyang Sun, 2024.
"Double robustness for complier parameters and a semi-parametric test for complier characteristics,"
The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 1-20.
- Rahul Singh & Liyang Sun, 2019. "Double Robustness for Complier Parameters and a Semiparametric Test for Complier Characteristics," Papers 1909.05244, arXiv.org, revised Dec 2022.
- James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2017.
"Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect,"
Journal of Labor Economics, University of Chicago Press, vol. 35(S1), pages 99-147.
- James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2015. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," NBER Working Papers 21663, National Bureau of Economic Research, Inc.
- Jeffrey M Wooldridge, 2010.
"Econometric Analysis of Cross Section and Panel Data,"
MIT Press Books,
The MIT Press,
edition 2, volume 1, number 0262232588, April.
- Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, April.
- Martin E Andresen & Martin Huber, 2021.
"Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction,"
The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
- Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Toru Kitagawa, 2015. "A Test for Instrument Validity," Econometrica, Econometric Society, vol. 83(5), pages 2043-2063, September.
- Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022.
"Covariate distribution balance via propensity scores,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
- Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2018. "Covariate Distribution Balance via Propensity Scores," Papers 1810.01370, arXiv.org, revised Apr 2020.
- 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.
- Foster, James E & Shorrocks, Anthony F, 1991. "Subgroup Consistent Poverty Indices," Econometrica, Econometric Society, vol. 59(3), pages 687-709, May.
- Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Isaiah Andrews & James H. Stock & Liyang Sun, 2019. "Weak Instruments in Instrumental Variables Regression: Theory and Practice," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 727-753, August.
- Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
- Christine Blandhol & John Bonney & Magne Mogstad & Alexander Torgovitsky, 2022. "When is TSLS Actually LATE?," NBER Working Papers 29709, National Bureau of Economic Research, Inc.
- Donald, Stephen G. & Hsu, Yu-Chin & Lieli, Robert P., 2014.
"Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion,"
Statistics & Probability Letters, Elsevier, vol. 95(C), pages 132-138.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014. "Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion," IEAS Working Paper : academic research 14-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Aug 2014.
- Elizabeth L. Ogburn & Andrea Rotnitzky & James M. Robins, 2015. "Doubly robust estimation of the local average treatment effect curve," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 77(2), pages 373-396, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Marcoux, Mathieu & Russell, Thomas M. & Wan, Yuanyuan, 2024.
"A simple specification test for models with many conditional moment inequalities,"
Journal of Econometrics, Elsevier, vol. 242(1).
- 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.
- Fukai, Taiyo & Kondo, Ayako, 2024. "Access to Formal Childcare for Toddlers and Parental Employment and Earnings," IZA Discussion Papers 16880, Institute of Labor Economics (IZA).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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.
- Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
- Huber Martin & Wüthrich Kaspar, 2019.
"Local Average and Quantile Treatment Effects Under Endogeneity: A Review,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
- Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
- Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.
- Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
- Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022.
"Covariate distribution balance via propensity scores,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
- Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2018. "Covariate Distribution Balance via Propensity Scores," Papers 1810.01370, arXiv.org, revised Apr 2020.
- Peter Hull & Michal Kolesár & Christopher Walters, 2022.
"Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
- Peter Hull & Michal Koles'ar & Christopher Walters, 2022. "Labour by Design: Contributions of David Card, Joshua Angrist, and Guido Imbens," Papers 2203.16405, arXiv.org.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015.
"Estimating Conditional Average Treatment Effects,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
- Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
- Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020.
"Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
- Fricke, Hans & Frölich, Markus & Huber, Martin & Lechner, Michael, 2015. "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments," FSES Working Papers 459, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Fricke, Hans & Frölich, Markus & Huber, Martin & Lechner, Michael, 2015. "Endogeneity and Non-Response Bias in Treatment Evaluation: Nonparametric Identification of Causal Effects by Instruments," IZA Discussion Papers 9428, Institute of Labor Economics (IZA).
- Hugo Bodory & Martin Huber & Michael Lechner, 2024.
"The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates,"
Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2053-2078, October.
- Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Joshua D. Angrist, 2022.
"Empirical Strategies in Economics: Illuminating the Path From Cause to Effect,"
Econometrica, Econometric Society, vol. 90(6), pages 2509-2539, November.
- Angrist, Joshua, 2021. "Empirical strategies in economics: Illuminating the path from cause to effect," Nobel Prize in Economics documents 2021-4, Nobel Prize Committee.
- Joshua Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path from Cause to Effect," NBER Working Papers 29726, National Bureau of Economic Research, Inc.
- Markus Frölich & Martin Huber, 2014.
"Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
- Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, Institute of Labor Economics (IZA).
- Frölich, Markus & Huber, Martin, 2014. "Treatment evaluation with multiple outcome periods under endogeneity and attrition," Economics Working Paper Series 1404, University of St. Gallen, School of Economics and Political Science.
- 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.
- Schmieder, Julia, 2021.
"Fertility as a driver of maternal employment,"
Labour Economics, Elsevier, vol. 72(C).
- Schmieder, Julia, 2020. "Fertility as a Driver of Maternal Employment," IZA Discussion Papers 13496, Institute of Labor Economics (IZA).
- Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
- Markus Frölich & Martin Huber, 2017.
"Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
- Markus Frölich & Martin Huber, 2014. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," CeMMAP working papers 31/14, Institute for Fiscal Studies.
- Frölich, Markus & Huber, Martin, 2014. "Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables," IZA Discussion Papers 8280, Institute of Labor Economics (IZA).
- Frölich, Markus & Huber, Martin, 2015. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," Working Paper Series 2015:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Markus Frölich & Martin Huber, 2014. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," CeMMAP working papers CWP31/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yumou Qiu & Jing Tao & Xiao‐Hua Zhou, 2021. "Inference of heterogeneous treatment effects using observational data with high‐dimensional covariates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 1016-1043, November.
- Sungwon Lee, 2024. "Partial identification and inference for conditional distributions of treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 107-127, January.
- Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017.
"The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation,"
Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
- Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, Institute of Labor Economics (IZA).
- Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation," FSES Working Papers 454, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- 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.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- 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 & 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).
- 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.
More about this item
Keywords
instrumental variables; local average treatment effects; one-sided noncompliance; weighting;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2022-05-16 (Econometrics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp15241. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.