Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
随机对照试验中分布处理效应估计的回归调整
In this paper, we address the issue of estimating and inferring distributional treatment effects in randomized experiments. The distributional treatment effect provides a more comprehensive understanding of treatment heterogeneity compared to average treatment effects. We propose a regression adjustment method that utilizes distributional regression and pre-treatment information, establishing theoretical efficiency gains without imposing restrictive distributional…