Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment
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- David A. Wise, 1994. "Studies in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise94-1, May.
- Angrist, Joshua D & Evans, William N, 1998.
"Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size,"
American Economic Review, American Economic Association, vol. 88(3), pages 450-477, June.
- Joshua D. Angrist & William N. Evans, 1996. "Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size," NBER Working Papers 5778, National Bureau of Economic Research, Inc.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2014.
"Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 395-415, July.
- Stephen G. Donald & Yu-Chin Hsu & Robert P. Lieli, 2012. "Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT," IEAS Working Paper : academic research 12-A017, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Augustine Denteh & Helge Liebert, 2022.
"Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment,"
Working Papers
2201, Tulane University, Department of Economics.
- Denteh, Augustine & Liebert, Helge, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," IZA Discussion Papers 15192, Institute of Labor Economics (IZA).
- Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Papers 2201.07072, arXiv.org, revised Apr 2023.
- Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series 9664, CESifo.
- Wooldridge, Jeffrey M., 2007.
"Inverse probability weighted estimation for general missing data problems,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
- Jeffrey M. Wooldridge, 2004. "Inverse probability weighted estimation for general missing data problems," CeMMAP working papers CWP05/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
- Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
- 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.
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- 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,"
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- 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.
- Sloczynski, Tymon & Uysal, Derya & Wooldridge, Jeffrey M., 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," IZA Discussion Papers 15241, Institute of Labor Economics (IZA).
- Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2023. "Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects," Papers 2310.18563, arXiv.org.
- Yukun Ma & Pedro H. C. Sant'Anna & Yuya Sasaki & Takuya Ura, 2023. "Doubly Robust Estimators with Weak Overlap," Papers 2304.08974, arXiv.org, revised Apr 2023.
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