IDEAS home Printed from https://ideas.repec.org/p/chu/wpaper/21-13.html
   My bibliography  Save this paper

Group-identity and long-run cooperation: an experiment

Author

Listed:
  • Gabriele Camera

    (Economic Science Institute, Chapman University and DSE, University of Bologna)

  • Alessandro Gioffre

    (DISEI, University of Florence)

Abstract

The sudden appearance of the SARS-CoV-2 virus and the onset of the COVID-19 pandemic triggered extreme and open-ended “lockdowns†to manage the disease. Should these drastic interventions be the blueprint for future epidemics? We construct an analytical framework, based on the theory of random matching, which makes explicit how epidemics spread through economic activity. Imposing lockdowns by assumption prevents contagion and reduces healthcare costs, but also disrupts income-generation processes. We characterize how lockdowns impact the contagion process and social welfare. Numerical analysis suggests that protracted, open-ended lockdowns are generally suboptimal, bringing into question the policy responses seen in many countries.

Suggested Citation

  • Gabriele Camera & Alessandro Gioffre, 2021. "Group-identity and long-run cooperation: an experiment," Working Papers 21-13, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:21-13
    as

    Download full text from publisher

    File URL: https://digitalcommons.chapman.edu/esi_working_papers/350/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Gabriele Camera & Lukas Hohl & Rolf Weder, 2023. "Inequality as a barrier to economic integration? An experiment," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 383-411, April.

    More about this item

    Keywords

    decentralized markets; random matching; contagion; nonpharmaceutical interventions;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D6 - Microeconomics - - Welfare Economics
    • I1 - Health, Education, and Welfare - - Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:chu:wpaper:21-13. 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: Megan Luetje (email available below). General contact details of provider: https://edirc.repec.org/data/esichus.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.