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

Journal of Causal Inference

article

Peter M. Aronow¹  Joel A. Middleton² 

[1] Yale University;New York University

关键词: randomized experiments;    unbiased estimation;    average treatment effect;    sampling theory;   

DOI  :  10.1515/jci-2012-0009

来源: De Gruyter

【 摘 要 】

We 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.

【 授权许可】

CC BY