Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies

Andrew Goodman-Bacon and Jan Marcus

EconStor Open Access Articles and Book Chapters, 2020, vol. 14, issue 2, 153-158

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.

Keywords: Difference-in-differences; Non-pharmaceutical interventions; COVID-19; Causal inference (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (99)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:222454

DOI: 10.18148/srm/2020.v14i2.7723

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