Arbeitspapier
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: DIW Discussion Papers ; No. 1870
- Klassifikation
-
Wirtschaft
Health: Government Policy; Regulation; Public Health
- Thema
-
difference-in-differences
non-pharmaceutical interventions
COVID-19
causal inference
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Goodman-Bacon, Andrew
Marcus, Jan
- Ereignis
-
Veröffentlichung
- (wer)
-
Deutsches Institut für Wirtschaftsforschung (DIW)
- (wo)
-
Berlin
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Goodman-Bacon, Andrew
- Marcus, Jan
- Deutsches Institut für Wirtschaftsforschung (DIW)
Entstanden
- 2020
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