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
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 7481

Classification
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Model Construction and Estimation
Public Economics: General
Labor Economics Policies
Subject
event study
distributed-lag
applied microeconomics
credibility revolution

Event
Geistige Schöpfung
(who)
Schmidheiny, Kurt
Siegloch, Sebastian
Event
Veröffentlichung
(who)
Center for Economic Studies and ifo Institute (CESifo)
(where)
Munich
(when)
2019

Handle
Last update
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

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