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Gender discrimination in hiring: Lessons from a large-scale correspondence test

Author

Listed:
  • Emilie Arnoult

    (CEET - Centre d'études de l'emploi et du travail - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - M.E.N.E.S.R. - Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche - Ministère du Travail, de l'Emploi et de la Santé, LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université, DARES - Direction de l'animation de la recherche, des études et des statistiques - Ministère du Travail, de l'Emploi et de la Santé)

  • Marie-Odile Ruault

    (DARES - Direction de l'animation de la recherche, des études et des statistiques - Ministère du Travail, de l'Emploi et de la Santé)

  • Emmanuel Valat

    (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, DARES - Direction de l'animation de la recherche, des études et des statistiques - Ministère du Travail, de l'Emploi et de la Santé)

  • Pierre Villedieu

    (LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po)

  • Thomas Breda

    (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, IPP - Institut des politiques publiques, PJSE - Paris Jourdan Sciences Economiques - 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)

  • Nicolas Jacquemet

    (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, IPP - Institut des politiques publiques, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Morgane Laouenan

    (LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po, IPP - Institut des politiques publiques, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Roland Rathelot

    (University of Warwick [Coventry], IPP - Institut des politiques publiques)

  • Mirna Safi

    (LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po, IPP - Institut des politiques publiques)

  • Clara Schaeper

    (Berlin School of Economics, IPP - Institut des politiques publiques)

  • Joyce Sultan Parraud

    (IPP - Institut des politiques publiques)

  • Amélie Allegre

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Anna Bagramova

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Frédérique Bouvier

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Fabrice Foroni

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Sara Ftoh Fennane

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Isabelle Huet

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Bianka Kozma

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Amine Medaghri Alaoui

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

  • Elshaday Tekle

    (ISM-CORUM - Inter-service migrants - Centre d'Observation et de Recherche sur l'Urbain et ses Mutations)

Abstract

Inequalities between women and men are a striking feature of the labor market: They are reflected in lower participation and lower wages for women, who also have less upwardly mobile career paths. The role of the conditions of entry into employment in contributing to these occupational inequalities is still poorly understood. To gain a better understanding of gender discrimination in hiring, a large-scale experiment was carried out by sending fictitious CVs in response to several thousand job others in 11 different professions. These CVs differed only in the name of the applicant, to eliminate the effect of the quality of the applications on the chances of callback in the first phase of the recruitment process. Female and male applicants with a first name of French origin received the same overall response from employers: One third were called back, half did not receive a response, and the others were rejected. However, there were significant differences according to the level of qualification, with women being at a disadvantage in low-skilled occupations, while the opposite was true for managerial roles. The inclusion of information on family status (presence of children, marital status) or indicating a period of inactivity on the CVs did not result in any significant difference in treatment between female and male applications.

Suggested Citation

  • Emilie Arnoult & Marie-Odile Ruault & Emmanuel Valat & Pierre Villedieu & Thomas Breda & Nicolas Jacquemet & Morgane Laouenan & Roland Rathelot & Mirna Safi & Clara Schaeper & Joyce Sultan Parraud & A, 2021. "Gender discrimination in hiring: Lessons from a large-scale correspondence test," SciencePo Working papers Main halshs-03524771, HAL.
  • Handle: RePEc:hal:spmain:halshs-03524771
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03524771
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    References listed on IDEAS

    as
    1. Nicolas Jacquemet, 2013. "Discrimination in Hiring in France : findings and courses of action," Post-Print halshs-03523630, HAL.
    2. Petit, Pascale, 2007. "The effects of age and family constraints on gender hiring discrimination: A field experiment in the French financial sector," Labour Economics, Elsevier, vol. 14(3), pages 371-391, June.
    3. Nicolas Jacquemet, 2013. "Discrimination in Hiring in France : findings and courses of action," Post-Print halshs-02527050, HAL.
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