IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v39y2021i2p264-279.html
   My bibliography  Save this article

County‐Level Determinants Of Social Distancing (Or Lack Thereof) During The Covid‐19 Pandemic

Author

Listed:
  • Golnaz Baradaran Motie
  • Christopher Biolsi

Abstract

We study the relationship between a number of socioeconomic, demographic, and political variables and county‐level measures of social mobility in the early stages of the COVID‐19 pandemic in the United States. We find that higher income, more educated populations, older populations, a higher share of Asian residents, a higher share of residents in a formal religious institution, and the early presence of the virus all significantly correlate with reduced mobility. A higher share of the resident population that is Black or Hispanic or a greater vote share for Donald Trump in the 2016 election significantly predict smaller mobility declines. (JEL R20, R23, R28)

Suggested Citation

  • Golnaz Baradaran Motie & Christopher Biolsi, 2021. "County‐Level Determinants Of Social Distancing (Or Lack Thereof) During The Covid‐19 Pandemic," Contemporary Economic Policy, Western Economic Association International, vol. 39(2), pages 264-279, April.
    • Handle: RePEc:bla:coecpo:v:39:y:2021:i:2:p:264-279
    DOI: 10.1111/coep.12499
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/coep.12499
    Download Restriction: no
    File URL: https://libkey.io/10.1111/coep.12499?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
    ---><---

    References listed on IDEAS

    as
    1. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    2. Mehmet Fatih Ekinci & Şebnem Kalemli-Özcan & Bent E. Sørensen, 2009. "Financial Integration within EU Countries: The Role of Institutions, Confidence and Trust," NBER Chapters, in: NBER International Seminar on Macroeconomics 2007, pages 325-391, National Bureau of Economic Research, Inc.
    3. Betsey Stevenson & Justin Wolfers, 2011. "Trust in Public Institutions over the Business Cycle," American Economic Review, American Economic Association, vol. 101(3), pages 281-287, May.
    4. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    5. Michael Ehrmann & Michel Soudan & Livio Stracca, 2013. "Explaining European Union Citizens’ Trust in the European Central Bank in Normal and Crisis Times," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(3), pages 781-807, July.
    6. Marcella Alsan & Marianne Wanamaker, 2018. "Tuskegee and the Health of Black Men," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 407-455.
    7. Maxim Ananiev & Sergei Guriev, 2014. "The Effect of Income on Trust: the Evidence from 2009 Crisis in Russia," Working Papers hal-03429914, HAL.
    8. Lesley Chiou & Catherine Tucker, 2020. "Social Distancing, Internet Access and Inequality," NBER Working Papers 26982, National Bureau of Economic Research, Inc.
    9. James H. Stock, 2020. "Data Gaps and the Policy Response to the Novel Coronavirus," NBER Working Papers 26902, National Bureau of Economic Research, Inc.
    10. Andrew Atkeson, 2020. "What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," NBER Working Papers 26867, National Bureau of Economic Research, Inc.
    11. repec:aei:rpaper:1008560098 is not listed on IDEAS
    12. Wenzhi Ding & Ross Levine & Chen Lin & Wensi Xie, 2020. "Social Distancing and Social Capital: Why U.S. Counties Respond Differently to COVID-19," NBER Working Papers 27393, National Bureau of Economic Research, Inc.
    13. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    14. Guglielmo Briscese & Nicola Lacetera & Mario Macis & Mirco Tonin, 2020. "Compliance with Covid-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration," CESifo Working Paper Series 8182, CESifo.
    15. Miller, Arthur H., 1974. "Political Issues and Trust in Government: 1964–1970," American Political Science Review, Cambridge University Press, vol. 68(3), pages 951-972, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rajeev K. Goel & James R. Jones & James W. Saunoris, 2023. "Explaining vaccine hesitancy: A COVID‐19 study of the United States," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1073-1087, March.
    2. Mellacher, Patrick, 2023. "The impact of corona populism: Empirical evidence from Austria and theory," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 113-140.

    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. Brodeur, Abel & Cook, Nikolai & Wright, Taylor, 2021. "On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    2. Michael Barnett & Greg Buchak & Constantine Yannelis, 2023. "Epidemic responses under uncertainty," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(2), pages 2208111120-, January.
    3. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," GLO Discussion Paper Series 524, Global Labor Organization (GLO).
    4. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," Carleton Economic Papers 20-04, Carleton University, Department of Economics, revised 19 May 2020.
    5. 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.
    6. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    7. Painter, Marcus & Qiu, Tian, 2021. "Political beliefs affect compliance with government mandates," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 688-701.
    8. Louis‐Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2022. "The short‐term economic consequences of COVID‐19: Occupation tasks and mental health in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 214-247, February.
    9. 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).
    10. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    11. Dimitris Christelis & Dimitris Georgarakos & Tullio Jappelli & Maarten van Rooij, 2020. "Trust in the Central Bank and Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 1-37, December.
    12. Jean-Noël Barrot & Basile Grassi & Julien Sauvagnat, 2020. "Estimating the Costs and Benefits of Mandated Business Closures in a Pandemic," Working Papers hal-02896739, HAL.
    13. Jesper Akesson & Sam Ashworth-Hayes & Robert Hahn & Robert Metcalfe & Itzhak Rasooly, 2022. "Fatalism, beliefs, and behaviors during the COVID-19 pandemic," Journal of Risk and Uncertainty, Springer, vol. 64(2), pages 147-190, April.
    14. Granja, João & Makridis, Christos & Yannelis, Constantine & Zwick, Eric, 2022. "Did the paycheck protection program hit the target?," Journal of Financial Economics, Elsevier, vol. 145(3), pages 725-761.
    15. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    16. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    17. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    18. Ambrocio, Gene & Juselius, Mikael, 2020. "Dealing with the costs of the COVID-19 pandemic – what are the fiscal options?," BoF Economics Review 2/2020, Bank of Finland.
    19. Çakmaklı, Cem & Demiralp, Selva & Özcan, Şebnem Kalemli & Yeşiltaş, Sevcan & Yıldırım, Muhammed A., 2023. "COVID-19 and emerging markets: A SIR model, demand shocks and capital flows," Journal of International Economics, Elsevier, vol. 145(C).
    20. Guo, Feng & Huang, Yiping & Wang, Jingyi & Wang, Xue, 2022. "The informal economy at times of COVID-19 pandemic," China Economic Review, Elsevier, vol. 71(C).

    More about this item

    JEL classification:

    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R28 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Government Policy

    Statistics

    Access and download statistics

    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:bla:coecpo:v:39:y:2021:i:2:p:264-279. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    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.