Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/222454
Authors: 
Goodman-Bacon, Andrew
Marcus, Jan
Year of Publication: 
2020
Citation: 
[Journal:] Survey Research Methods [Volume:] 14 [Issue:] 2 [Pages:] 153-158 [ISSN:] 1864-3361
Abstract: 
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.
Subjects: 
Difference-in-differences
Non-pharmaceutical interventions
COVID-19
Causal inference
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/4.0/
Document Type: 
Article
Document Version: 
Published Version

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