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

Aronow Peter M. () and Middleton Joel A. ()
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Aronow Peter M.: Yale University, New Haven, CT 06511, USA
Middleton Joel A.: New York University, 246 Greene Street, NY, NY 10003

Journal of Causal Inference, 2013, vol. 1, issue 1, 135-154

Abstract: 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.

Keywords: randomized experiments; unbiased estimation; average treatment effect; sampling theory (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:bpj:causin:v:1:y:2013:i:1:p:135-154:n:4

DOI: 10.1515/jci-2012-0009

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