On event study designs and distributed-lag models: Equivalence, generalization and practical implications

Schmidheiny, Kurt ; Siegloch, Sebastian

URL: https://www.cesifo.org/en/publikationen/2019/worki...
Additional URL: https://ideas.repec.org/p/ces/ceswps/_7481.html
Document Type: Working paper
Year of publication: 2019
The title of a journal, publication series: CESifo Working Papers
Volume: 7481
Place of publication: München
Publishing house: Munich Society for the Promotion of Economic Research
ISSN: 1617-9595 , 2364‐1428
Publication language: English
Institution: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
School of Law and Economics > Soziale Sicherung (Siegloch 2018-2022)
Subject: 330 Economics
Classification: JEL: C230 , C510 , H000 , J080,
Keywords (English): event study , distributed-lag , applied microeconomics , credibility revolution
Abstract: 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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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