Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting-Reference-Cited by-同舟云学术

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Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting

Published:2015-11-08 Issue:3 Volume:78 Page:673-700
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J. R. Stat. Soc. B

Author:

Chan Kwun Chuen Gary¹,Yam Sheung Chi Phillip²,Zhang Zheng²

Affiliation:

1. University of Washington; Seattle USA

2. Chinese University of Hong Kong; People's Republic of China

Funder

National Institutes of Health

Chinese University of Hong Kong

Hong Kong Research Grants Council general research fund

University Grants Committee

Food and Health Bureau

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssb.12129/fullpdf

Reference47 articles.

1. Large sample properties of matching estimators for average treatment effects;Abadie;Econometrica,2006

2. Doubly robust estimation in missing data and causal inference models;Bang;Biometrics,2005

3. Wage discrimination: reduced form and structural estimates;Blinder;J. Hum. Resour.,1973

4. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data;Cao;Biometrika,2009

5. Uniform improvement of empirical likelihood for missing response problem;Chan;Electron. J. Statist.,2012

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