IDEAS home Printed from https://ideas.repec.org/a/spr/jeicoo/v20y2025i2d10.1007_s11403-024-00430-2.html
   My bibliography  Save this article

Statistical discrimination without knowing statistics: blame social interactions?

Author

Listed:
  • Emily Tanimura

    (University Paris 1 Panthéon-Sorbonne: Universite Paris 1 Pantheon-Sorbonne)

Abstract

We consider a model where decision makers repeatedly receive candidates and assign to them a binary decision that we can interpret as hire/not hire. The decision makers base their decision on the characteristics of the candidate but they are also sensitive to the social influence exerted by the observed hiring decisions of other employers. We characterize the long run frequency of decisions in the model, and show in particular that for candidates belonging to a group with “unfavorable” characteristics, the dynamics increase the rejection rate compared to a scenario with independent decisions, suggesting that social influence between decision makers can generate effects very similar to those that result from statistical discrimination. We then analyze how the existence and magnitude of a reinforcement in rejection rates depends on different properties of the distribution of characteristics in the candidate population.

Suggested Citation

  • Emily Tanimura, 2025. "Statistical discrimination without knowing statistics: blame social interactions?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(2), pages 547-574, April.
  • Handle: RePEc:spr:jeicoo:v:20:y:2025:i:2:d:10.1007_s11403-024-00430-2
    DOI: 10.1007/s11403-024-00430-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11403-024-00430-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11403-024-00430-2?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 search for a different version of it.

    More about this item

    Keywords

    Statistical discrimination; Social influence; Binary choice; Curie–Weiss model; Decision dynamics; Invariant measures; Reinforcement effects;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

    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:spr:jeicoo:v:20:y:2025:i:2:d:10.1007_s11403-024-00430-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.