IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v11y2023i5p95-d1149463.html
   My bibliography  Save this article

Prospect Theory and the Favorite Long-Shot Bias in Baseball

Author

Listed:
  • James Nutaro

    (Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA)

Abstract

We provide new evidence of a favorite long-shot bias for bets placed on baseball games. Our analysis uses the difference of mean run differentials as an observable proxy for the probability of a team to win. When baseball is viewed through this proxy, we see that bettors believe favorites are less likely to win than they actually are and long-shots more likely. This result is consistent with prospect theory, which suggests that large and small probabilities are poorly estimated when making decisions with risk.

Suggested Citation

  • James Nutaro, 2023. "Prospect Theory and the Favorite Long-Shot Bias in Baseball," Risks, MDPI, vol. 11(5), pages 1-11, May.
  • Handle: RePEc:gam:jrisks:v:11:y:2023:i:5:p:95-:d:1149463
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/11/5/95/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/11/5/95/
    Download Restriction: no
    ---><---

    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:gam:jrisks:v:11:y:2023:i:5:p:95-:d:1149463. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.