235 citations · 411 across the 9 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…
Efficient Estimation for Staggered Rollout Designs
Jonathan Roth, Pedro H. C. Sant'Anna
We study estimation of causal effects in staggered rollout designs, i.e. settings where there is staggered treatment adoption and the timing of treatment is as-good-as randomly ass…
When Is Parallel Trends Sensitive to Functional Form?
Jonathan Roth, Pedro H. C. Sant'Anna
This paper assesses when the validity of difference-in-differences depends on functional form. We provide a novel characterization: the parallel trends assumption holds under all s…
The role of parallel trends in event study settings: An application to environmental economics
Michelle Marcus, Pedro H. C. Sant'Anna
Difference-in-Differences (DID) research designs usually rely on variation of treatment timing such that, after making an appropriate parallel trends assumption, one can identify,…
Distribution Regression in Duration Analysis: an Application to Unemployment Spells
Miguel A. Delgado, Andrés García-Suaza, Pedro H. C. Sant'Anna
This article proposes inference procedures for distribution regression models in duration analysis using randomly right-censored data. This generalizes classical duration models by…
Nonparametric Tests for Treatment Effect Heterogeneity with Duration Outcomes
Pedro H. C. Sant'Anna
This article proposes different tests for treatment effect heterogeneity when the outcome of interest, typically a duration variable, may be right-censored. The proposed tests stud…