Artikel
Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies
Policymakers have implemented a wide range of non-pharmaceutical interventions to fight the spread of COVID-19. Variation in policies across jurisdictions and over time strongly suggests a difference-in-differences (DD) research design to estimate causal effects of counter-COVID measures. We discuss threats to the validity of these DD designs and make recommendations about how researchers can avoid bias, interpret results accurately, and provide sound guidance to policymakers seeking to protect public health and facilitate an eventual economic recovery.
- Language
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Englisch
- Bibliographic citation
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Journal: Survey Research Methods ; ISSN: 1864-3361 ; Volume: 14 ; Year: 2020 ; Issue: 2 ; Pages: 153-158 ; Southampton: European Survey Research Association
- Classification
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Wirtschaft
- Subject
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Difference-in-differences
Non-pharmaceutical interventions
COVID-19
Causal inference
- Event
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Geistige Schöpfung
- (who)
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Goodman-Bacon, Andrew
Marcus, Jan
- Event
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Veröffentlichung
- (who)
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European Survey Research Association
- (where)
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Southampton
- (when)
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2020
- DOI
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doi:10.18148/srm/2020.v14i2.7723
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Goodman-Bacon, Andrew
- Marcus, Jan
- European Survey Research Association
Time of origin
- 2020
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