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Journal of Econometrics
Article . 2021 . Peer-reviewed
License: Elsevier TDM
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Article . 2021
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Article . 2018 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
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Estimating Dynamic Treatment Effects in Event Studies With Heterogeneous Treatment Effects

Estimating dynamic treatment effects in event studies with heterogeneous treatment effects
Authors: Sun, Liyang; Abraham, Sarah;

Estimating Dynamic Treatment Effects in Event Studies With Heterogeneous Treatment Effects

Abstract

To estimate the dynamic effects of an absorbing treatment, researchers often use two-way fixed effects regressions that include leads and lags of the treatment. We show that in settings with variation in treatment timing across units, the coefficient on a given lead or lag can be contaminated by effects from other periods, and apparent pretrends can arise solely from treatment effects heterogeneity. We propose an alternative estimator that is free of contamination, and illustrate the relative shortcomings of two-way fixed effects regressions with leads and lags through an empirical application.

51 pages, 3 figures

Keywords

FOS: Economics and business, difference-in-differences, two-way fixed effects, pretrend test, Statistics, Game theory, economics, finance, and other social and behavioral sciences, Econometrics (econ.EM), Economics - Econometrics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4K
Top 0.01%
Top 0.01%
Top 0.01%
Green
bronze