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Discrimination based on place of residence and access to employment

Author

Listed:
  • Mathieu Bunel

    (Université de Bourgogne, CREM (UMR 6211) TEPP (FR 3435), France)

  • Yannick L’Horty

    (Université Paris-Est, ERUDITE, UPEC, UPEM et TEPP (FR 3435), France)

  • Pascale Petit

    (Université Paris-Est, ERUDITE, UPEC, UPEM et TEPP (FR 3435), France)

Abstract

The purpose of this study is to assess the degree of employment discrimination against young people according to their place of residence. We considered several spatial scales in order to measure the effect of the reputation of the administrative department or county, the town or municipality and of the local neighbourhood. The evaluation is performed using correspondence test data carried out between October 2011 and February 2012. We studied 2988 candidacies that were submitted to 498 job offers (waiters and cooks) within the restaurant industry and located in the Paris area. Statistical and econometric results pointed out that resident effect is significant and important in magnitude: a good address can triple the chances of being invited to a job interview.

Suggested Citation

  • Mathieu Bunel & Yannick L’Horty & Pascale Petit, 2016. "Discrimination based on place of residence and access to employment," Urban Studies, Urban Studies Journal Limited, vol. 53(2), pages 267-286, February.
  • Handle: RePEc:sae:urbstu:v:53:y:2016:i:2:p:267-286
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    References listed on IDEAS

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    Cited by:

    1. Julie Le Gallo & Yannick L'Horty & Loïc du Parquet & Pascale Petit, 2017. "Les discriminations dans l’accès au logement en France : Un testing de couverture nationale," TEPP Research Report 2017-11, TEPP.
    2. Emmanuel Duguet & David Gray & Yannick L'Horty & Loïc du Parquet & Pascale Petit, 2017. "Labor Market Effects of Urban Riots:an experimental assessment," TEPP Working Paper 2017-03, TEPP.
    3. Mathieu Bunel & Yannick L'Horty & Loïc du Parquet & Pascale Petit, 2017. "Les discriminations dans l’accès au logement à Paris : Une expérience contrôlée," TEPP Research Report 2017-01, TEPP.

    More about this item

    Keywords

    discrimination; employment; experiment; neighbourhood; testing;

    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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