Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/198841 
Year of Publication: 
2019
Series/Report no.: 
CESifo Working Paper No. 7481
Publisher: 
Center for Economic Studies and ifo Institute (CESifo), Munich
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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