1 citations · 1 across the 5 of their papers we have counts for
7 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…
Specification tests for generalized propensity scores using double projections
Pedro H. C. Sant'Anna, Xiaojun Song
This paper proposes a new class of nonparametric tests for the correct specification of models based on conditional moment restrictions, paying particular attention to generalized…
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…
Specification Tests for the Propensity Score
Pedro H. C. Sant'Anna, Xiaojun Song
This paper proposes new nonparametric diagnostic tools to assess the asymptotic validity of different treatment effects estimators that rely on the correct specification of the pro…
Program Evaluation with Right-Censored Data
Pedro H. C. Sant'Anna
In a unified framework, we provide estimators and confidence bands for a variety of treatment effects when the outcome of interest, typically a duration, is subjected to right cens…