IDEAS home Printed from https://ideas.repec.org/a/spr/joerap/v6y2023i2d10.1007_s41996-022-00112-w.html
   My bibliography  Save this article

Non-pharmaceutical Interventions and COVID-19: Do County- and State-Level Policies Predict the Spread of COVID-19?

Author

Listed:
  • Amanda C. Stype

    (Eastern Michigan University)

  • Mehmet E. Yaya

    (Eastern Michigan University)

  • Jayson Osika

    (Eastern Michigan University)

Abstract

This study examines the impact of county- and state-level policies on the spread and severity of COVID-19 in communities in the USA during the first wave of the COVID-19 pandemic. We use county-level COVID-19 death and case data to examine the impact of county- and state-level mandates and non-pharmaceutical interventions (NPIs) on the spread and severity of COVID-19. Following previous work by Amuendo-Dorantes et al. (2020), we utilize a strategy that incorporates the duration of NPI implementation within a county. Specifically, we examine aggregated measures of mask mandates, daycare closures, stay-at-home orders, and restaurant and bar closures. In addition to the implementation and duration of NPI policy, we examine the role of pre-existing factors that contribute to social determinants of health in a locality. We incorporate information on the incidence of prior health conditions, socio-economic factors, and demographics including racial and ethnic composition, share of immigrant population of counties, and state governance in our estimations. To alleviate the possible endogeneity of COVID-19 outcomes and NPIs, we use instrumental variable estimation and our results show that collectively NPIs decreased the intensity of the pandemic by decreasing the total deaths and cases. Furthermore, we find the magnitude of the impact of NPIs increases the longer they are implemented. We also estimate a specification that allows for heterogeneity of NPI impact based on the racial and ethnic composition of counties. Our results suggest that NPIs have a non-uniform impact in counties with different racial and ethnic compositions.

Suggested Citation

  • Amanda C. Stype & Mehmet E. Yaya & Jayson Osika, 2023. "Non-pharmaceutical Interventions and COVID-19: Do County- and State-Level Policies Predict the Spread of COVID-19?," Journal of Economics, Race, and Policy, Springer, vol. 6(2), pages 126-142, June.
    • Handle: RePEc:spr:joerap:v:6:y:2023:i:2:d:10.1007_s41996-022-00112-w
    DOI: 10.1007/s41996-022-00112-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41996-022-00112-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s41996-022-00112-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Cevat Giray Aksoy & Michael Ganslmeier & Panu Poutvaara, 2020. "Public Attention and Policy Responses to Covid-19 Pandemic," CESifo Working Paper Series 8409, CESifo.
    3. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    4. Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2020. "Is the Cure Worse than the Disease? County-Level Evidence from the COVID-19 Pandemic in the United States," NBER Working Papers 27759, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
    2. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    3. Asli Demirgüç-Kunt & Michael Lokshin & Iván Torre, 2021. "Opening-Up Trajectories and Economic Recovery: Lessons after the First Wave of the COVID-19 Pandemic," CESifo Economic Studies, CESifo Group, vol. 67(3), pages 332-369.
    4. Alexandre K Ligo & Emerson Mahoney & Jeffrey Cegan & Benjamin D Trump & Andrew S Jin & Maksim Kitsak & Jesse Keenan & Igor Linkov, 2021. "Relationship among state reopening policies, health outcomes and economic recovery through first wave of the COVID-19 pandemic in the U.S," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    5. Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2021. "Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1445-1472, October.
    6. Jaravel, Xavier & O'Connell, Martin, 2020. "Real-time price indices: Inflation spike and falling product variety during the Great Lockdown," Journal of Public Economics, Elsevier, vol. 191(C).
    7. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    8. Natalie Cox & Peter Ganong & Pascal Noel & Joseph Vavra & Arlene Wong & Diana Farrell & Fiona Greig & Erica Deadman, 2020. "Initial Impacts of the Pandemic on Consumer Behavior: Evidence from Linked Income, Spending, and Savings Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 35-82.
    9. Kozhaya, Mireille, 2022. "The double burden: The impact of school closures on labor force participation of mothers," Ruhr Economic Papers 956, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Gaggero, Alessio & Mesa-Pedrazas, Ángela & Fernández-Pérez, Ángel, 2024. "Shutting down to save lives: A regression discontinuity analysis of non-essential business closure," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    11. Tran, Nhu & Uzmanoglu, Cihan, 2023. "Reprint of: COVID-19, lockdowns, and the municipal bond market," Journal of Banking & Finance, Elsevier, vol. 147(C).
    12. Anand, Amitabh & Singh, Sanjay Kumar & Bowen, Melanie & Rangarajan, Deva, 2024. "Strategic renewal during crises - A pragmatist proposition for multinational enterprises in a globalized world," Journal of International Management, Elsevier, vol. 30(3).
    13. Ka Shing Cheung & Chung Yim Yiu & Chuyi Xiong, 2021. "Housing Market in the Time of Pandemic: A Price Gradient Analysis from the COVID-19 Epicentre in China," JRFM, MDPI, vol. 14(3), pages 1-17, March.
    14. Martin O'Connell & Áureo de Paula & Kate Smith, 2021. "Preparing for a pandemic: spending dynamics and panic buying during the COVID‐19 first wave," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 249-264, June.
    15. Shenoy, Ajay & Sharma, Bhavyaa & Xu, Guanghong & Kapoor, Rolly & Rho, Haedong Aiden & Sangha, Kinpritma, 2022. "God is in the rain: The impact of rainfall-induced early social distancing on COVID-19 outbreaks," Journal of Health Economics, Elsevier, vol. 81(C).
    16. Liu, Sitian & Su, Yichen, 2021. "The impact of the COVID-19 pandemic on the demand for density: Evidence from the U.S. housing market," Economics Letters, Elsevier, vol. 207(C).
    17. Vera Baye & Valeriya Dinger, 2024. "Investment incentives of rent controls and gentrification: Evidence from German micro data," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(3), pages 843-884, May.
    18. Xiong, Yanyan & Cui, Xue & Yu, Liuming, 2024. "Impact of COVID-19 pandemic on online consumption share: Evidence from China's mobile payment data," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    19. Relihan, Lindsay & Ward, Marvin & Wheat, Chris W. & Farrell, Diana, 2020. "The early impact of COVID-19 on local commerce: changes in spend across neighborhoods and online," LSE Research Online Documents on Economics 105060, London School of Economics and Political Science, LSE Library.
    20. Hakan Yilmazkuday, 2020. "COVID‐19 and unequal social distancing across demographic groups," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1235-1248, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joerap:v:6:y:2023:i:2:d:10.1007_s41996-022-00112-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.