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Effets de quartier, effet de département : discrimination liée au lieu de résidence et accès à l’emploi


  • Pascale Petit
  • Mathieu Bunel
  • Emilia Ene
  • Yannick L’Horty


The aim of this study is to measure hiring discrimination based on place of residence against young people in Paris area, distinguishing the effects of department?s (Paris and Seine-Saint-Denis), town?s and neighborhood?s reputation.?Field experiment data are used to identify the specific impact on access to employment for each of these three spatial levels as well as their combined effects.?The place of residence affects the chances of being invited to a job interview.?There is a dramatic effect at the department?s level in the case of Seine-Saint-Denis department.?To a lesser extent, there is also an effect at the neighborhood?s level, according to his reputation.?These effects are far-reaching : a good address can triple the chances of being invited to a job interview.?Living in a deprived area is less harmful when one lives in a disadvantaged department itself. Classification JEL : C81, C93, J15, J71.

Suggested Citation

  • Pascale Petit & Mathieu Bunel & Emilia Ene & Yannick L’Horty, 2016. "Effets de quartier, effet de département : discrimination liée au lieu de résidence et accès à l’emploi," Revue économique, Presses de Sciences-Po, vol. 67(3), pages 525-550.
  • Handle: RePEc:cai:recosp:reco_673_0525

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    References listed on IDEAS

    1. Matthieu Solignac & Maxime To, 2016. "Le niveau de chômage dans le voisinage affecte-t-il l’entrée sur le marché du travail ?," Revue économique, Presses de Sciences-Po, vol. 67(3), pages 495-524.
    2. Étienne Wasmer, 2016. "Des politiques urbaines nationales : un oxymore ?," Revue économique, Presses de Sciences-Po, vol. 67(3), pages 667-678.
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    Cited by:

    1. Nathalie Greenan & Joseph Lanfranchi & Yannick L'Horty & Mathieu Narcy & Guillaume Pierné, 2016. "Inégalités et discriminations dans l’accès à la fonction publique d’Etat : une évaluation par l’analyse des fichiers administratifs de concours," TEPP Research Report 2016-06, TEPP.

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • 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


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