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Estimating the costs and benefits of mandated business closures in a pandemic

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  • Sauvagnat, Julien
  • Barrot, Jean-Noël
  • Grassi, Basile

Abstract

Typical government responses to pandemics involve social distancing measures implemented to curb disease propagation. We evaluate the impact of state-mandated business closures in the context of the Covid-19 crisis in the US. Using state-level variations in the set of sectors defined as non-essential and forced to shut down, and geographic variations in industry composition, we estimate the effects of business closure decisions on firms' market value, and on infection and death rates. We find that a 10 percentage point increase in the share of restricted labor is associated with a drop by 3 percentage points in April 2020 employment, a 1.87% drop in firms' market value, and 0.15 and 0.011 percentage points lower Covid-19 infection and death rates, respectively. An extrapolation of these preliminary findings suggests that state-mandated business closures might have cost $700 billion and saved 36,000 lives so far.

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  • Sauvagnat, Julien & Barrot, Jean-Noël & Grassi, Basile, 2020. "Estimating the costs and benefits of mandated business closures in a pandemic," CEPR Discussion Papers 14757, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:14757
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    1. repec:arp:sjefsm:2021:p:64-80 is not listed on IDEAS
    2. Dion Bongaerts & Francesco Mazzola & Wolf Wagner, 2021. "Closed for business: The mortality impact of business closures during the Covid-19 pandemic," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-17, May.
    3. Leonardo Fabio Morales & Leonardo Bonilla‐Mejía & Jose Pulido & Luz A. Flórez & Didier Hermida & Karen L. Pulido‐Mahecha & Francisco Lasso‐Valderrama, 2022. "Effects of the COVID‐19 pandemic on the Colombian labour market: Disentangling the effect of sector‐specific mobility restrictions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 308-357, February.
    4. Chen, Zhuo & Li, Pengfei & Liao, Li & Liu, Lu & Wang, Zhengwei, 2024. "Assessing and addressing the coronavirus-induced economic crisis: Evidence from 1.5 billion sales invoices," China Economic Review, Elsevier, vol. 85(C).
    5. Etienne Farvaque & Hira Iqbal & Nicolas Ooghe, 2020. "Health politics? Determinants of US states’ reactions to COVID-19," Post-Print hal-03128875, HAL.
    6. Anna Scherbina, 2021. "Assessing the Optimality of a COVID Lockdown in the United States," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 177-201, July.
    7. Ashraf, Badar Nadeem, 2020. "Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    8. Avijit Bansal & Balagopal Gopalakrishnan & Joshy Jacob & Pranjal Srivastava, 2022. "Impact of operational fragility on stock returns: Lessons from COVID‐19 crisis," International Review of Finance, International Review of Finance Ltd., vol. 22(2), pages 365-398, June.
    9. Giammanco, Maria Daniela & Gitto, Lara, 2020. "Government measures and economic activity during the COVID-19 outbreak: some preliminary short-term evidence from Europe," MPRA Paper 105072, University Library of Munich, Germany.
    10. Lucia Svabova & Eva Nahalkova Tesarova & Marek Durica & Lenka Strakova, 2021. "Evaluation of the impacts of the COVID-19 pandemic on the development of the unemployment rate in Slovakia: counterfactual before-after comparison," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(2), pages 261-284, June.
    11. Baek, ChaeWon & McCrory, Peter B & Messer, Todd & Mui, Preston, 2020. "Unemployment Effects of Stay-at-Home Orders: Evidence from High Frequency Claims Data," Institute for Research on Labor and Employment, Working Paper Series qt042177j7, Institute of Industrial Relations, UC Berkeley.

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    More about this item

    Keywords

    Pandemic; Business closures; Non-essential businesses; Covid-19;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H1 - Public Economics - - Structure and Scope of Government

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