Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies
Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies
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DOI：
10.18148/srm/2020.v14i2.7723
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发表时间：
2020-01-01
影响因子：
4.8
通讯作者：
Marcus, Jan
中科院分区：
文献类型：
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作者：
Goodman-Bacon, Andrew;Marcus, Jan
决策者已经实施了广泛的非药物干预措施来对抗COVID-19的传播。不同司法管辖区和不同时期的政策差异强烈表明，需要采用差异中的差异（DD）研究设计，以估计抗疫措施的因果影响。我们讨论了对这些DD设计有效性的威胁，并就研究人员如何避免偏见、准确解释结果以及为寻求保护公众健康和促进最终经济复苏的政策制定者提供合理指导提出了建议。
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.