5 citations · 5 across the 4 of their papers we have counts for
11 papers
Omitted Variable Bias in Difference-in-Differences Designs
Juejue Wang, Pedro H. C. Sant'Anna, Victor Chernozhukov +1
We study the omitted variable bias (OVB) problem in canonical difference-in-differences (DiD) designs when unobserved confounding induces departures from the parallel trends assump…
Difference-in-Differences with Compositional Changes
Pedro H. C. Sant'Anna, Qi Xu
This paper studies Difference-in-Differences (DiD) setups with repeated cross-sectional data and potential compositional changes across time periods. We begin our analysis by deriv…
Doubly Robust Estimators with Weak Overlap
Yukun Ma, Pedro H. C. Sant'Anna, Yuya Sasaki +1
Doubly robust (DR) estimators guard against model misspecification but remain sensitive to weak covariate overlap. We show that trimming propensity scores reduces variance but elim…
Selection and parallel trends
Dalia Ghanem, Pedro H. C. Sant'Anna, Kaspar Wüthrich
We study the role of selection into treatment in difference-in-differences (DiD) designs. We derive necessary and sufficient conditions for parallel trends assumptions under genera…
What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature
Jonathan Roth, Pedro H. C. Sant'Anna, Alyssa Bilinski +1
This paper synthesizes recent advances in the econometrics of difference-in-differences (DiD) and provides concrete recommendations for practitioners. We begin by articulating a si…
Difference-in-Differences with a Continuous Treatment
Brantly Callaway, Andrew Goodman-Bacon, Pedro H. C. Sant'Anna
This paper analyzes difference-in-differences designs with a continuous treatment. We show that treatment-on-the-treated-type parameters are identified under a parallel trends assu…