Implementing the Panel Event Study

Damian Clarke and Kathya Tapia Schythe

MPRA Paper from University Library of Munich, Germany

Abstract: Many studies estimate the impact of exposure to some quasi-experimental policy or event using a panel event study design. These models, as a generalized extension of ‘difference-in-differences’ or two-way fixed effect models, allow for dynamic lags and leads to the event of interest to be estimated, while also controlling for fixed factors (often) by area and time. In this paper we discuss the set-up of the panel event study design in a range of situations, and lay out a number of practical considerations for its estimation. We describe a Stata command eventdd that allows for simple estimation, inference, and visualization of event study models in a range of circumstances. We then provide a number of examples to illustrate eventdd’s use and flexibility, as well as its interaction with various native Stata routines, and other relevant user-written libraries such as reghdfe and boottest.

Keywords: event studies; difference-in-differences; estimation; inference; visualization (search for similar items in EconPapers)
JEL-codes: C1 C13 C51 C54 C63 C87 (search for similar items in EconPapers)
Date: 2020-07-06
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (36)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/101669/1/MPRA_paper_101669.pdf original version (application/pdf)

Related works:
Journal Article: Implementing the panel event study (2021)
Working Paper: Implementing the Panel Event Study (2020)
Working Paper: Implementing the Panel Event Study (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:101669

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().