Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
扩展了固定协变量下平均处理效应半参数估计的方法，针对高维协变量情境，建议研究者除报告点估计和标准误外，还应进行多项补充分析以增强估计的可信度。
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.