IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v112y2022p325-29.html
   My bibliography  Save this article

Laissez-Faire, Social Networks, and Race in a Pandemic

Author

Listed:
  • Roland Pongou
  • Guy Tchuente
  • Jean-Baptiste Tondji

Abstract

We study the effects of race, network centrality, and policies that tolerate some level of virus spread (laissez-faire) on COVID-19 deaths in nursing homes in the United States. Our analysis uses unique data on nursing home networks and calibration-based estimates of states' preferences for health relative to short-term economic gains. Our findings suggest that laissez-faire policies increase deaths. Nursing homes with a larger share of Black residents experience more deaths, but they are less vulnerable to laissez-faire policies, especially when not central in social networks. Our findings highlight significant interactions between COVID-19 policies, race, and network structure among US seniors.

Suggested Citation

  • Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2022. "Laissez-Faire, Social Networks, and Race in a Pandemic," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 325-329, May.
  • Handle: RePEc:aea:apandp:v:112:y:2022:p:325-29
    DOI: 10.1257/pandp.20221116
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20221116
    Download Restriction: no

    File URL: https://doi.org/10.3886/E159041V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20221116.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/pandp.20221116?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
    ---><---

    Citations

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


    Cited by:

    1. Pongou, Roland & Sidie, Ghislain Junior & Tchuente, Guy & Tondji, Jean-Baptiste, 2022. "Profits, Pandemics, and Lockdown Effectiveness in Nursing Home Networks," GLO Discussion Paper Series 1131, Global Labor Organization (GLO).
    2. Roland Pongou & Guy Tchuente & Jean-Baptiste Tondji, 2023. "Optimal interventions in networks during a pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 847-883, April.

    More about this item

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services

    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:aea:apandp:v:112:y:2022:p:325-29. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.