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When Correspondence Studies Fail to Detect Hiring Discrimination

Author

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  • Pierre Cahuc

    (ECON - Département d'économie (Sciences Po) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique, CEPR - Center for Economic Policy Research)

  • Stéphane Carcillo

    (ECON - Département d'économie (Sciences Po) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique)

  • Andreea Minea
  • Marie-Anne Valfort

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Based on a correspondence study conducted in France, we show that fictitious low-skilled applicants in the private sector are half as likely to be called back by the employers when they are of North African rather than French origin. By contrast, the origin of the fictitious applicants does not impact their callback rate in the public sector. We run a survey revealing that recruiters display similarly strong negative discriminatory attitudes towards North Africans in both sectors. We set out a model explaining why differences in discrimination at the stage of invitation for interviews can arise when recruiters display identical discriminatory attitudes in both sectors. The estimation of this model shows that discrimination at the invitation stage is a poor predictor of discrimination at the hiring stage. This suggests that many correspondence studies may fail to detect hiring discrimination and its extent.

Suggested Citation

  • Pierre Cahuc & Stéphane Carcillo & Andreea Minea & Marie-Anne Valfort, 2019. "When Correspondence Studies Fail to Detect Hiring Discrimination," SciencePo Working papers Main hal-03881646, HAL.
  • Handle: RePEc:hal:spmain:hal-03881646
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03881646
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    Cited by:

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    2. Card, David & Colella, Fabrizio & Lalive, Rafael, 2021. "Gender Preferences in Job Vacancies and Workplace Gender Diversity," IZA Discussion Papers 14758, Institute of Labor Economics (IZA).
    3. Ayaita, Adam, 2021. "Labor Market Discrimination and Statistical Differences in Unobserved Characteristics of Applicants," EconStor Preprints 236615, ZBW - Leibniz Information Centre for Economics.
    4. Valfort, Marie-Anne, 2020. "Anti-Muslim discrimination in France: Evidence from a field experiment," World Development, Elsevier, vol. 135(C).
    5. Button, Patrick & Walker, Brigham, 2020. "Employment discrimination against Indigenous Peoples in the United States: Evidence from a field experiment," Labour Economics, Elsevier, vol. 65(C).

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    More about this item

    Keywords

    Discrimination; Correspondence studies; Public sector;
    All these keywords.

    JEL classification:

    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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