Arbeitspapier
On Event Study Designs and Distributed-Lag Models: Equivalence, Generalization and Practical Implications
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.
- Language
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Englisch
- Bibliographic citation
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Series: CESifo Working Paper ; No. 7481
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Model Construction and Estimation
Public Economics: General
Labor Economics Policies
- Subject
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event study
distributed-lag
applied microeconomics
credibility revolution
- Event
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Geistige Schöpfung
- (who)
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Schmidheiny, Kurt
Siegloch, Sebastian
- Event
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Veröffentlichung
- (who)
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Center for Economic Studies and ifo Institute (CESifo)
- (where)
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Munich
- (when)
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2019
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Schmidheiny, Kurt
- Siegloch, Sebastian
- Center for Economic Studies and ifo Institute (CESifo)
Time of origin
- 2019