A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments-Reference-Cited by-同舟云学术

A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments

Published:2013-05-29 Issue:1 Volume:1 Page:135-154
ISSN:2193-3685
Container-title:Journal of Causal Inference
language:
Short-container-title:

Author:

Aronow Peter M.¹,Middleton Joel A.²

Affiliation:

1. 1Yale University, New Haven, CT 06511, USA

2. 2New York University, 246 Greene Street, NY, NY 10003

Abstract

AbstractWe derive a class of design-based estimators for the average treatment effect that are unbiased whenever the treatment assignment process is known. We generalize these estimators to include unbiased covariate adjustment using any model for outcomes that the analyst chooses. We then provide expressions and conservative estimators for the variance of the proposed estimators.

Publisher

Walter de Gruyter GmbH

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.degruyter.com/downloadpdf/journals/jci/1/1/article-p135.xml

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