Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/215676
Authors: 
Schmidheiny, Kurt
Siegloch, Sebastian
Year of Publication: 
2020
Series/Report no.: 
ZEW Discussion Papers 20-017
Abstract: 
We discuss important properties and pitfalls of panel-data event study designs. We derive three main results. First, binning of effect window endpoints is a practical necessity and key for identification of dynamic treatment effects. Second, event study designs with binned endpoints and distributed-lag models are numerically identical leading to the same parameter estimates after correct reparametrization. Third, classic dummy variable event study designs can be 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. We show the practical relevance of our methodological points in a replication study.
Subjects: 
event study
distributed-lag
applied microeconomics
credibility revolution
JEL: 
C23
C51
H00
J08
Document Type: 
Working Paper

Files in This Item:
File
Size
628.32 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.