Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments
多水平处理观测研究中的倾向得分匹配与分层
In this paper, we develop new methods for estimating average treatment effects in observational studies, focusing on settings with more than two treatment levels under unconfoundedness given pre-treatment variables. We emphasize subclassification and matching methods which have been found to be effective in the binary treatment literature and which are among the most popular methods in that setting. Whereas the literature has suggested that these particular propensity-based…