Arbeitspapier
On event studies and distributed-lags in two-way fixed effects models: Identification, equivalence, and generalization
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: ZEW Discussion Papers ; No. 20-017
- 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)
-
ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
- (wo)
-
Mannheim
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 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
- ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
Entstanden
- 2020
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