Search Results for author: Pedro H. C. Sant'Anna

Found 10 papers, 2 papers with code

Was Javert right to be suspicious? Unpacking treatment effect heterogeneity of alternative sentences on time-to-recidivism in Brazil

no code implementations23 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.

Difference-in-Differences with Compositional Changes

no code implementations27 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.

Doubly Robust Estimators with Weak Overlap

no code implementations18 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.

Selection and parallel trends

no code implementations17 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.

What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature

no code implementations4 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.

Econometrics

Difference-in-Differences with a Continuous Treatment

no code implementations6 Jul 2021 Brantly Callaway, Andrew Goodman-Bacon, Pedro H. C. Sant'Anna

This paper analyzes difference-in-differences designs with a continuous treatment.

Efficient Estimation for Staggered Rollout Designs

1 code implementation2 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.

When Is Parallel Trends Sensitive to Functional Form?

no code implementations9 Oct 2020 Jonathan Roth, Pedro H. C. Sant'Anna

This paper assesses when the validity of difference-in-differences depends on functional form.

Specification tests for generalized propensity scores using double projections

no code implementations30 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.

Test

Distribution Regression in Duration Analysis: an Application to Unemployment Spells

1 code implementation12 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.

regression

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