 Shutting down to save lives: A regression discontinuity analysis of non-essential business closureAlessio Gaggero, Ángela Mesa-Pedrazas and Ángel Fernández-Pérez Socio-Economic Planning Sciences, 2024, vol. 94, issue C Abstract: This article quantifies the impact of the non-essential business closure policy implemented in the Spanish region of Andalusia during the COVID-19 pandemic between January and May 2021. Taking advantage of the fact that municipalities were assigned a two-week closure of non-essential businesses on the basis of whether the 14-day infection rate (per 100,000 inhabitants) was above a predetermined cutoff value of 1,000, we use a regression discontinuity design to estimate the causal impact of the policy on new COVID-19 cases and deaths. Using weekly administrative data, the estimates suggest that, on average, the policy produced a 23 percent reduction in new COVID-19 cases and a 2 percent decrease in new COVID-19 deaths. Notably, the heterogeneity analysis reveals that the policy was more effective in rural areas than in urban areas. Overall, this study provides compelling evidence that shutting down businesses served as an effective tool to counter the COVID-19 pandemic. Keywords: COVID-19; Non-essential business closure; Spain; 14-Day infection rate; COVID-19 cases and deaths; Regression discontinuity (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:94:y:2024:i:c:s0038012124001241 DOI: 10.1016/j.seps.2024.101925 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
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