IDEAS home Printed from https://ideas.repec.org/a/wea/econth/v10y2022i2p1.html
   My bibliography  Save this article

A methodological perspective on economic modelling and the global pandemic

Author

Listed:
  • John B. Davis

    (Marquette University and University of Amsterdam)

Abstract

A question that recent research on the global pandemic raises is: how do the assumptions underlying epidemiological models and economic models differ? Epidemiological models we now know have become quite sophisticated (see Avery et al., 2020). Debate among economic methodologists regarding the nature of modeling has generated a considerable literature as well (Reiss, 2012; Hands, 2013). Yet these two literatures are largely non-communicating. Perhaps this is because economics has produced relatively little research on pandemics (though see Boianovsky and Erreygers, 2021). Yet it might still be asked, what might economic models be missing that epidemiological models capture? And might there be some sort of methodological bias in mainstream economics that plays a role in this? One way, then, one might begin to answer these questions is by identifying the main phenomenon in question, namely, in the case of the pandemic, a particular type of process, and ask what the nature of this type of process is. Then we may ask whether there is something about this type of phenomenon that places it out of bounds for current economic methodology. Thus, what sort of phenomenon is a pandemic?

Suggested Citation

  • John B. Davis, 2022. "A methodological perspective on economic modelling and the global pandemic," Economic Thought, World Economics Association, vol. 10(2), pages 1-8, February.
  • Handle: RePEc:wea:econth:v:10:y:2022:i:2:p:1
    as

    Download full text from publisher

    File URL: http://et.worldeconomicsassociation.org/papers/a-methodological-perspective-on-economic-modelling-and-the-global-pandemic/
    Download Restriction: no

    File URL: http://et.worldeconomicsassociation.org/files/2022/02/WEA-ET-10.2-Davis.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:wea:econth:v:10:y:2022:i:2:p:1. 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: Jake McMurchie (email available below). General contact details of provider: https://edirc.repec.org/data/worecea.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.