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Hiring Discrimination in Higher Education and Research
[Les discriminations à l’embauche dans l’enseignement supérieur et la recherche]

Author

Listed:
  • Laetitia Challe

    (Université Gustave Eiffel, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel, TEPP - Théorie et évaluation des politiques publiques - CNRS - Centre National de la Recherche Scientifique)

  • Yannick L’horty

    (Université Gustave Eiffel, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel, TEPP - Théorie et évaluation des politiques publiques - CNRS - Centre National de la Recherche Scientifique)

  • Pascale Petit

    (ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel, TEPP - Théorie et évaluation des politiques publiques - CNRS - Centre National de la Recherche Scientifique, Université Gustave Eiffel)

  • François-Charles Wolff

    (UN - Université de Nantes, LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université, TEPP - Théorie et évaluation des politiques publiques - CNRS - Centre National de la Recherche Scientifique)

Abstract

Discrimination in access to employment in the higher education and research sector is measured using a correspondence test. Two criteria are tested: the applicants' gender and their origin (either French or North African) for two occupations, administrative assistant and administrative and financial executive, using two testing methods, responding to job offers and sending unsolicited applications to recruiters. In total, the study compiles the results of 2,748 job applications sent in 2021 and 2022 to higher education and research institutions in France. The two correspondence test methods revealed no evidence of gender-based discrimination for either occupation. However, in this sector, where principles of equality and integrity are expected to prevail, the study identifies evidence of discrimination against applicants of North African origin for administrative assistant positions, at a level comparable to that observed across the public sector as a whole.

Suggested Citation

  • Laetitia Challe & Yannick L’horty & Pascale Petit & François-Charles Wolff, 2025. "Hiring Discrimination in Higher Education and Research [Les discriminations à l’embauche dans l’enseignement supérieur et la recherche]," Post-Print hal-05567570, HAL.
  • Handle: RePEc:hal:journl:hal-05567570
    DOI: 10.24187/ecostat.2025.548.2139
    Note: View the original document on HAL open archive server: https://insee.hal.science/hal-05567570v1
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    References listed on IDEAS

    as
    1. Lippens, Louis & Vermeiren, Siel & Baert, Stijn, 2023. "The state of hiring discrimination: A meta-analysis of (almost) all recent correspondence experiments," European Economic Review, Elsevier, vol. 151(C).
    2. Laetitia Challe & Yannick L’Horty & Pascale Petit & François-Charles Wolff, 2024. "Cyclical behavior of hiring discrimination: evidence from repeated experiments in France," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(3), pages 711-733, March.
    3. Sylvain Chareyron & Yannick L’Horty & Pascale Petit, 2023. "Cream skimming and discrimination in access to medical care: A field experiment," Health Economics, John Wiley & Sons, Ltd., vol. 32(8), pages 1868-1883, August.
    4. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    5. Alwyn Young, 2019. "Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 557-598.
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