TY  - RPRT
        AU  - Schmidheiny, Kurt
AU  - Siegloch, Sebastian
        TI  - On Event Study Designs and Distributed-Lag Models: Equivalence, Generalization and Practical Implications
        PY  - 2019/Jan/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 12079
        UR  - https://www.iza.org/index.php/publications/dp12079
        AB  - 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.
        KW  - applied microeconomics
KW  - distributed-lag
KW  - event study
KW  - credibility revolution
        ER  -