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Cited by 367

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Implementing the panel event study

Open access
Clarke, Damian, Tapia-Schythe, Kathya·2021·The Stata Journal: Promoting communications on statistics and Stata

Abstract

Many studies estimate the impact of exposure to some quasiexperimental policy or event using a panel event study design. These models, as a generalized extension of “difference-in-differences” designs or two-way fixed-effects models, allow for dynamic leads and lags to the event of interest to be estimated, while also controlling for fixed factors (often) by area and time. In this article, we discuss the setup of the panel event study design in a range of situations and lay out several practical considerations for its estimation. We describe a command, eventdd, that allows for simple estimation, inference, and visualization of event study models in a range of circumstances. We then provide several examples to illustrate eventdd’s use and flexibility, as well as its interaction with various native Stata commands, and other relevant community-contributed commands such as reghdfe and boottest.

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Metadata

Authors
Clarke, D., & Tapia-Schythe, K.
Venue
The Stata Journal: Promoting communications on statistics and Stata
Published
2021-12
Volume
21
Issue
4
Pages
853-884
ISSN
  • 1536-867X (ISSN-L)
  • 1536-8734
OpenAlex
W3043155921
Cited by
367
References
25
FWCI
38.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Implementing the panel event study. https://app.cochat.ai/papers/10.1177/1536867x211063144
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Clarke, D., & Tapia-Schythe, K. (2021). Implementing the panel event study. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x211063144

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.