Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
Susan Athey, Guido Imbens, Thai Pham, Stefan Wager
American Economic Review · 2017 · Volume 107 · Issue 5
Abstract
There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number of covariates. More recently attention has focused on settings with a large number of covariates. In this paper we extend lessons from the earlier literature to this new setting. We propose that in addition to reporting point estimates and standard errors, researchers report results from a number of supplementary analyses to assist in assessing the credibility of their estimates.
Keywords
Single Equation Models, Single Variables: Cross-Sectional Models, Spatial Models, Treatment Effect Models, Quantile Regressions, Multiple or Simultaneous Equation Models: Cross-Sectional Models, Social Interaction Models, Model Construction and Estimation
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