Arbeitspapier
On event studies and distributed-lags in two-way fixed effects models: Identification, equivalence, and generalization
We discuss properties and pitfalls of panel-data event study designs. We derive three main results. First, assuming constant treatment effects before and/or after some event time, also known as binning, is a natural restriction imposed on theoretically infinite effect windows. Binning identifies dynamic treatment effects in the absence of never-treated units and is particularly suitable in case of multiple events. 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 common in public and labor economics. We demonstrate the practical relevance of our methodological points in an application studying the effects of unemployment benefit duration on job search effort.
- Sprache
-
Englisch
- Erschienen in
-
Series: ECONtribute Discussion Paper ; No. 201
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Model Construction and Estimation
Public Economics: General
Labor Economics Policies
- Thema
-
event study
distributed-lag
applied microeconomics
credibility revolution
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Schmidheiny, Kurt
Siegloch, Sebastian
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Bonn and University of Cologne, Reinhard Selten Institute (RSI)
- (wo)
-
Bonn and Cologne
- (wann)
-
2022
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Schmidheiny, Kurt
- Siegloch, Sebastian
- University of Bonn and University of Cologne, Reinhard Selten Institute (RSI)
Entstanden
- 2022
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