IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v254y2025ics0165176525002745.html
   My bibliography  Save this article

Rating rules in the helping game: An axiomatic approach

Author

Listed:
  • Marietta Leina, Andrea
  • Patel, Amrish
  • Sugden, Robert
  • Turocy, Theodore L.

Abstract

We examine a stylised helping game in which players recurrently decide whether to help others at personal cost and are assigned binary ratings of “helpfulness” based on previous choices. We propose axioms requiring that ratings are responsive to players’ decisions and change monotonically with respect to helping given or withheld. Only four rules satisfy these axioms: two standing rules and two versions of a form of binary image scoring. These results show how a single rating can encode both the “desert” perspective, linking worthiness to kindness and deservingness, and the “club” perspective, relating worthiness to a cooperative club’s membership.

Suggested Citation

  • Marietta Leina, Andrea & Patel, Amrish & Sugden, Robert & Turocy, Theodore L., 2025. "Rating rules in the helping game: An axiomatic approach," Economics Letters, Elsevier, vol. 254(C).
  • Handle: RePEc:eee:ecolet:v:254:y:2025:i:c:s0165176525002745
    DOI: 10.1016/j.econlet.2025.112437
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176525002745
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2025.112437?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:eee:ecolet:v:254:y:2025:i:c:s0165176525002745. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.