Visualization, identification, and estimation in the linear panel event study design

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Papers ; No. 2022-07

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Model Evaluation, Validation, and Selection
• Subject: Linear Panel Data Models ; Difference-in-Differences ; Staggered Adoption ; Pre-Trends ; Event Study

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Freyaldenhoven, Simon ; Hansen, Christian Bailey ; Pérez Pérez, Jorge ; Shapiro, Jesse M.
• Event: Veröffentlichung
• (who): Banco de México
• (where): Ciudad de México
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/273663
• Last update: 10.03.2025, 11:42 AM CET