no code implementations • 23 Nov 2023 • Santiago Acerenza, Vitor Possebom, Pedro H. C. Sant'Anna
This paper presents new econometric tools to unpack the treatment effect heterogeneity of punishing misdemeanor offenses on time-to-recidivism.
no code implementations • 27 Apr 2023 • Pedro H. C. Sant'Anna, Qi Xu
Additionally, we document a trade-off related to compositional changes: We derive the asymptotic bias of DR DiD estimators that erroneously exclude compositional changes and the efficiency loss when one fails to correctly rule out compositional changes.
no code implementations • 18 Apr 2023 • Yukun Ma, Pedro H. C. Sant'Anna, Yuya Sasaki, Takuya Ura
In this paper, we derive a new class of doubly robust estimators for treatment effect estimands that is also robust against weak covariate overlap.
no code implementations • 17 Mar 2022 • Dalia Ghanem, Pedro H. C. Sant'Anna, Kaspar Wüthrich
We study the role of selection into treatment in difference-in-differences (DiD) designs.
no code implementations • 4 Jan 2022 • Jonathan Roth, Pedro H. C. Sant'Anna, Alyssa Bilinski, John Poe
This paper synthesizes recent advances in the econometrics of difference-in-differences (DiD) and provides concrete recommendations for practitioners.
no code implementations • 6 Jul 2021 • Brantly Callaway, Andrew Goodman-Bacon, Pedro H. C. Sant'Anna
This paper analyzes difference-in-differences designs with a continuous treatment.
1 code implementation • 2 Feb 2021 • 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 assigned.
no code implementations • 9 Oct 2020 • Jonathan Roth, Pedro H. C. Sant'Anna
This paper assesses when the validity of difference-in-differences depends on functional form.
no code implementations • 30 Mar 2020 • 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 propensity score models.
1 code implementation • 12 Apr 2019 • 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.