Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/273663 
Year of Publication: 
2022
Series/Report no.: 
Working Papers No. 2022-07
Publisher: 
Banco de México, Ciudad de México
Abstract: 
Linear panel models, and the "event-study plots" that often accompany them, are popular tools for learning about policy effects. We discuss the construction of event-study plots and suggest ways to make them more informative. We examine the economic content of different possible identifying assumptions. We explore the performance of the corresponding estimators in simulations, highlighting that a given estimator can perform well or poorly depending on the economic environment. An accompanying Stata package, xtevent, facilitates adoption of our suggestions.
Subjects: 
Linear Panel Data Models
Difference-in-Differences
Staggered Adoption
Pre-Trends
Event Study
JEL: 
C23
C52
Document Type: 
Working Paper
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