Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288125 
Year of Publication: 
2023
Citation: 
[Journal:] Journal of Applied Econometrics [ISSN:] 1099-1255 [Volume:] 38 [Issue:] 5 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2023 [Pages:] 695-713
Publisher: 
Wiley, Hoboken, NJ
Abstract: 
We discuss three important properties of panel data event study designs. First, assuming constant treatment effects before and/or after some event time, also known as binning, is a natural restriction, which identifies dynamic treatment effects in the absence of never‐treated units. Second, event study designs with binned endpoints and distributed‐lag models are numerically identical. Third, classic dummy variable event study designs can be generalized to models that account for multiple treatments of different signs and varying intensities. We demonstrate the practical relevance of our methodological points in an application studying the effects of unemployment benefit duration on job search effort.
Subjects: 
applied microeconomics
credibility revolution
distributed‐lag
event study
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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