IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp11417.html

Anti-Muslim Discrimination in France: Evidence from a Field Experiment

Author

Listed:
  • Valfort, Marie-Anne

    (Paris School of Economics)

Abstract

Relying on a correspondence study conducted in France before the 2015 attacks, this paper compares the callback rates of immigrants of Muslim and Christian culture who originate from the same country and whose religiosity varies from non-religious to religious. Based on responses to over 6,200 job ads, the results reveal an insignificant disadvantage for Muslims when they are not religious. However, Muslims lose further ground when they are religious, while the reverse occurs for Christians. Consequently, religious Muslims must submit twice as many applications as religious Christians before being called back by the recruiters. A follow-up survey confirms that the signal used to convey fictitious applicants' religiosity is not only viewed as relevant but that it is also correctly interpreted by employers.

Suggested Citation

  • Valfort, Marie-Anne, 2018. "Anti-Muslim Discrimination in France: Evidence from a Field Experiment," IZA Discussion Papers 11417, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11417
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp11417.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Isaure Delaporte & Hill Kulu, 2024. "Family Formation and Employment Changes Among Descendants of Immigrants in France: A Multiprocess Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 40(1), pages 1-77, December.
    2. Hou, Yue & Liu, Chuyu & Crabtree, Charles, 2020. "Anti-muslim bias in the Chinese labor market," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 235-250.
    3. Lucas Chancel, 2019. "Ten facts about income inequality in advanced economies," World Inequality Lab Working Papers hal-02876982, HAL.
    4. Ilyess Karouni, 2022. "Thinking out stratification: the concept of subalternity," Review of Evolutionary Political Economy, Springer, vol. 3(3), pages 629-642, October.
    5. Nesseler, Cornel & Gomez-Gonzalez, Carlos & Parshakov, Petr & Dietl, Helmut, 2023. "Examining discrimination against Jews in Italy with three natural field experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    6. Van Borm, Hannah & Baert, Stijn, 2022. "Diving in the minds of recruiters: What triggers gender stereotypes in hiring?," GLO Discussion Paper Series 1083, Global Labor Organization (GLO).
    7. Anne Gosselin & Nesrine Ben Ahmed, 2024. "Discrimination au travail et santé mentale des immigré·es et descendant·es d’immigrés : une analyse de médiation à partir de l’enquête Conditions de Travail," Working Papers 294, French Institute for Demographic Studies.
    8. Cetre, Sophie & Algan, Yann & Grimalda, Gianluca & Murtin, Fabrice & Pipke, David & Putterman, Louis & Schmidt, Ulrich & Siegerink, Vincent, 2024. "Ethnic bias, economic achievement and trust between large ethnic groups: A study in Germany and the U.S," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 996-1021.
    9. Omar Al-Ubaydli & Faith Fatchen & John List, 2025. "Using Field Experiments to Understand the Impact of Institutions on Economic Growth," Springer Books, in: Claude Ménard & Mary M. Shirley (ed.), Handbook of New Institutional Economics, edition 0, chapter 42, pages 1117-1143, Springer.
    10. Zarit Sofia Aini Zakaria & Faizah Mohd Fakhruddin, 2025. "Discrimination in the Workplace: A Case of Discrimination at U Mart in Gelang Patah, Johor, Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(2), pages 2693-2720, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp11417. 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: Mark Fallak (email available below). General contact details of provider: https://edirc.repec.org/data/izaaalu.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.