• Media type: E-Book
  • Title: Visualization, Identification, and Stimation in the Linear Panel Event-Study Design
  • Contributor: Freyaldenhoven, Simon [VerfasserIn]; Hansen, Christian [VerfasserIn]; Pérez Pérez, Jorge [VerfasserIn]; Shapiro, Jesse [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2021]
  • Published in: FRB of Philadelphia Working Paper ; No. 21-44
  • Extent: 1 Online-Ressource (48 p)
  • Language: English
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 1, 2021 erstellt
  • Description: 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
  • Access State: Open Access