4 papers
Efficient Difference-in-Differences and Event Study Estimators
Xiaohong Chen, Pedro H. C. Sant'Anna, Haitian Xie
This paper investigates efficient Difference-in-Differences (DiD) and Event Study (ES) estimation using short panel data sets within the heterogeneous treatment effect framework, f…
Better Understanding Triple Differences Estimators
Marcelo Ortiz-Villavicencio, Pedro H. C. Sant'Anna
Triple Differences (DDD) designs are widely used in empirical work to relax parallel trends assumptions in Difference-in-Differences (DiD) settings. This paper highlights that comm…
Doubly Robust Difference-in-Differences Estimators
Pedro H. C. Sant'Anna, Jun B. Zhao
This article proposes doubly robust estimators for the average treatment effect on the treated (ATT) in difference-in-differences (DID) research designs. In contrast to alternative…
Covariate Distribution Balance via Propensity Scores
Pedro H. C. Sant'Anna, Xiaojun Song, Qi Xu
This paper proposes new estimators for the propensity score that aim to maximize the covariate distribution balance among different treatment groups. Heuristically, our proposed pr…