IDEAS home Printed from https://ideas.repec.org/p/tcr/wpaper/e192.html

Heterogeneous Risk Attitudes and Waves of Infection

Author

Listed:
  • Taisuke Nakata
  • Daisuke Fujii
  • Takeshi Ojima

Abstract

Many countries have experienced multiple waves of infection during the COVID-19 pandemic. We propose a novel but parsimonious extension of the SIR model, a CSIR model, that can endogenously generate waves. In the model, cautious individuals take appropriate prevention measures against the virus and are not exposed to infection risk. Incautious individuals do not take any measures and are susceptible to the risk of infection. Depending on the size of incautious and susceptible population, some cautious people lower their guard and become incautious--thus susceptible to the virus. When the virus spreads sufficiently, the population reaches ``temporary" herd immunity and infection subsides thereafter. Yet, the inflow from the cautious to the susceptible eventually expands the susceptible population and leads to the next wave. We also show that the CSIR model is isomorphic to the SIR model with time-varying parameters.

Suggested Citation

  • Taisuke Nakata & Daisuke Fujii & Takeshi Ojima, 2023. "Heterogeneous Risk Attitudes and Waves of Infection," Working Papers e192, Tokyo Center for Economic Research.
  • Handle: RePEc:tcr:wpaper:e192
    as

    Download full text from publisher

    File URL: https://www.tcer.or.jp/wp/pdf/e192.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Beppu, Shotaro & Fujii, Daisuke & Kubota, Hiroyuki & Machi, Kohei & Maeda, Yuta & Nakata, Taisuke & Shibuya, Haruki, 2023. "Cross-regional heterogeneity in health and economic outcomes during the COVID-19 pandemic: An analysis of Japan," Journal of the Japanese and International Economies, Elsevier, vol. 70(C).

    More about this item

    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:tcr:wpaper:e192. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tctokjp.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.