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A Short Note on Event-Study Synthetic Difference-in-Differences Estimators

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  • Diego Ciccia

Abstract

I propose an event study extension of Synthetic Difference-in-Differences (SDID) estimators. I show that, in simple and staggered adoption designs, estimators from Arkhangelsky et al. (2021) can be disaggregated into dynamic treatment effect estimators, comparing the lagged outcome differentials of treated and synthetic controls to their pre-treatment average. Estimators presented in this note can be computed using the sdid_event Stata package.

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  • Diego Ciccia, 2024. "A Short Note on Event-Study Synthetic Difference-in-Differences Estimators," Papers 2407.09565, arXiv.org, revised Nov 2024.
    • Handle: RePEc:arx:papers:2407.09565
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    File URL: http://arxiv.org/pdf/2407.09565
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    Cited by:

    1. Cristhian D. Prieto & Ilan Noy, 2024. "How Do Floods Affect Firms’ Economic Performance?: Evidence from Two Cyclones in New Zealand," CESifo Working Paper Series 11430, CESifo.

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