Visualization, Identification, and stimation in the Linear Panel Event-Study Design

Simon Freyaldenhoven, Christian Hansen, Jorge Pérez Pérez and Jesse Shapiro

No 21-44, Working Papers from Federal Reserve Bank of Philadelphia

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.

Keywords: linear panel data models; difference-in-differences; staggered adoption; pre-trends; event study (search for similar items in EconPapers)
JEL-codes: C23 C52 (search for similar items in EconPapers)
Pages: 48
Date: 2021-12-20
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Visualization, Identification, and Estimation in the Linear Panel Event Study Design (2022)
Working Paper: Visualization, identification, and estimation in linear panel event-study design (2022)
Working Paper: Visualization, Identification, and Estimation in the Linear Panel Event-Study Design (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedpwp:93518

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DOI: 10.21799/frbp.wp.2021.44

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