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Discriminations A L'Embauche Des Jeunes Franciliens Et Intersectionalite Du Sexe Et De L'Origine: Les Resultats D'Un Testing

Listed author(s):
  • Pascale Petit

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, EPEE - Centre d'Etudes des Politiques Economiques - UEVE - Université d'Évry-Val-d'Essonne)

  • Emmanuel Duguet

    ()

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

  • Yannick L'Horty

    ()

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

  • Loïc Du Parquet

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, GAINS - Groupe d'Analyse des Itinéraires et des Niveaux Salariaux - UM - Université du Maine)

  • Florent Sari

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

Discrimination in hiring against certain demographic subgroups can be an explanatory factor of the high levels of unemployment in those groups. The present study proposes an evaluation of the cross effects of gender and ethnic origin on the access to employment of fictitious candidates with identical productive characteristics. This study is based on our own experimental data obtained by the paired testing method. We made up 8 fictitious job applications from young graduates with a master's degree in computing, and sent them simultaneously to the same 303 job offers between the beginning of February and the beginning of April 2009. The only differences between these fictitious candidates were their sex and their ethnic origin, as signalled by their first and last names (French, Senegalese, Moroccan and Vietnamese). We find a significant hiring discrimination both by gender and origin. Whatever their origin, women have a lower probability to access a job interview than men. Whatever their sex, the French of foreign origin have a lower probability to access a job interview. This is true for all profiles with one exception: women of Asian origin. They have a higher probability than other women to be invited to an interview and they also have a higher probability than men of Asian origin to find work. We propose an interpretation based on occupational stereotypes.

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File URL: https://halshs.archives-ouvertes.fr/halshs-00744923/document
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Paper provided by HAL in its series Working Papers with number halshs-00744923.

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Date of creation: Sep 2011
Publication status: Published in 2011
Handle: RePEc:hal:wpaper:halshs-00744923
Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00744923
Contact details of provider: Web page: https://hal.archives-ouvertes.fr/

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