The impact of state- versus county-level mask mandates on economic activity during the COVID-19 pandemic
Persistent URL
Author(s)
Seegert, Nathan
Gaulin, Maclean
Chaiyakunapruk, Nathorn
Navarro-Sanchez, Francisco
Allegheny College
Nguyen, Danielle
Yang, Mu-Jeung
Nelson, Richard E.
Date Issued
September 3, 2026
Abstract
Background
During the COVID-19 pandemic, policy makers used mask mandates as a tool to signal that, due to the amount of virus circulating at the time, social behaviors might be risky. Because of the geographically specific nature of disease transmission information, these signals would be more informative in smaller geographic units. The objective of this study was to estimate the impact of policy information revelation by quantifying the impact of state versus county mask mandates on economic activity.
Methods
We constructed a longitudinal dataset of US counties from April to September 2020 including the period immediately surrounding a COVID-19 mask mandate policy. In our primary analysis, we used a regression discontinuity approach with economic activity measured as county-level cell phone mobility and credit card spending.
Results
We found that state mask mandates were associated with an increase in economic activity (coefficient = 1.045, 95% CI: 0.44,1.65) and spending per person (coefficient = $143, 95% CI: $102, $185). On the other hand, we found no statistically significant effects following county mask mandates.
Conclusion
Using variation in the level of government enacting a policy, we find that mobility and spending are higher after a US state mask mandate than a county mandate, consistent with information revelation.
Journal
PLOS One
Citation
Seegert N, Gaulin M, Chaiyakunapruk N, Navarro-Sanchez F, Nguyen D, et al. (2026) The impact of state- versus county-level mask mandates on economic activity during the COVID-19 pandemic. PLOS ONE 21(9): e0332243. https://doi.org/10.1371/journal.pone.0332243
Publisher
Public Library of Science (PLoS)
DOI
10.1371/journal.pone.0332243
ISSN
1932-6203
Rights
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Type of Publication
Journal Article
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