Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/193373 
Year of Publication: 
2019
Series/Report no.: 
IZA Discussion Papers No. 12079
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
We discuss important features and pitfalls of panel-data event study designs. We derive the following main results: First, event study designs and distributed-lag models are numerically identical leading to the same parameter estimates after correct reparametrization. Second, binning of effect window endpoints allows identification of dynamic treatment effects even when no never-treated units are present. Third, classic dummy variable event study designs can be naturally generalized to models that account for multiple events of different sign and intensity of the treatment, which are particularly interesting for research in labor economics and public finance.
Subjects: 
event study
distributed-lag
applied microeconomics
credibility revolution
JEL: 
C23
C51
H00
J08
Document Type: 
Working Paper

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