IDEAS home Printed from https://ideas.repec.org/p/aep/anales/4796.html
   My bibliography  Save this paper

A large-scale field experiment to disentangle sources of statistical discrimination in a social setting

Author

Listed:
  • Duhalde Juan Cruz
  • Gomez Gonzalez Carlos
  • Clochard Gwen-Jiro
  • Dietl Helmut

Abstract

This paper considers two types of statistical discrimination: individual (productivity) and collecetive (team fit). We conduct a large-scale correspondence study in 15 Latin American countries in the context of sports to test their influence on individual behavior. We send over 10,000 applications to male amateur soccer clubs and ask them to participate in a practice session. Each club receives one application, randomly varying the applicant’s origin and signals about individual and collective productivity. We find no evidence of discrimination against immigrants overall, but we observe heterogeneity that is consistent with individual statistical discrimination. Productivity signals have no significant influence.

Suggested Citation

  • Duhalde Juan Cruz & Gomez Gonzalez Carlos & Clochard Gwen-Jiro & Dietl Helmut, 2025. "A large-scale field experiment to disentangle sources of statistical discrimination in a social setting," Asociación Argentina de Economía Política: Working Papers 4796, Asociación Argentina de Economía Política.
  • Handle: RePEc:aep:anales:4796
    as

    Download full text from publisher

    File URL: https://aaep.org.ar/works/works2025/4796.pdf
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    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:aep:anales:4796. 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: Juan Manuel Quintero (email available below). General contact details of provider: https://edirc.repec.org/data/aaeppea.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.