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Discrimination based on place of residence and access to employment

Author

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  • Mathieu Bunel

    (University of Caen Basse-Normandie, CREM CNRS UMR 6211 and TEPP (FR CNRS n°3435))

  • Emilia Ene

    (University of Paris-Est Marne la Vallée, ERUDITE and TEPP (FR CNRS n°3435))

  • Yannick L’horty

    (University of Paris-Est Marne la Vallée, ERUDITE and TEPP (FR CNRS n°3435))

  • Pascale Petit

    (Université d’Evry Val d’Essonne, EPEE and TEPP (FR CNRS n°3435))

Abstract

The purpose of this study is to assess the degree of employment discrimination against young people in the Ile-de-France region according to their place of residence by considering several spatial scales in order to measure the effect of the reputation of the administrative department or county (specifically Paris and Seine-Saint-Denis), the town or municipality, and of the local neighborhood. The evaluation is carried outusing experimental testing-type data that we developed following a protocol that allows us toexamine the specific effects associated with each of these three spatial scales on access to employment, as well as their combined effects. We are interested in discrimination regarding two specific occupations within the restaurant/catering industry, namely waiters and cooks, and we consider the impact of two levels of qualification. For each of these profiles, we constructed six fictional candidacies consisting of young men who were similar with the exception of the testing feature which differentiates them, namely their place of residence. Between October 2011 and February 2012, we studied 2,988 candidacies that were submitted in response to 498 job offers posted in the Ile-de-France region. This study consists of a statistical and econometric analysis of the responses that we obtained to these applications.

Suggested Citation

  • Mathieu Bunel & Emilia Ene & Yannick L’horty & Pascale Petit, 2013. "Discrimination based on place of residence and access to employment," Economics Working Paper Archive (University of Rennes & University of Caen) 201337, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    • Handle: RePEc:tut:cremwp:201337
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    Cited by:

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    2. Yannick L'Horty & Mathieu Bunel & Pascale Petit, 2019. "Testing for redlining in the labour market," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(2), pages 153-173, April.
    3. Mathieu Bunel & Yannick L'Horty & Loïc du Parquet & Pascale Petit, 2017. "Identifying preference-based discrimination in rental market: A field experiment in Paris," TEPP Working Paper 2017-06, TEPP.
    4. 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.
    5. Valfort, Marie-Anne, 2020. "Anti-Muslim discrimination in France: Evidence from a field experiment," World Development, Elsevier, vol. 135(C).
    6. Souleymane Mbaye, 2019. "Trois évaluations d’actions de lutte contre les discriminations," Erudite Ph.D Dissertations, Erudite, number ph19-01 edited by Pascale Petit.
    7. Sylvain Chareyron & Laetitia Challe & Yannick L’Horty & Pascale Petit, 2022. "Can subsidies paid directly to employers reduce residential discrimination in employment? An assessment based on serial field experiments," Urban Studies, Urban Studies Journal Limited, vol. 59(6), pages 1202-1218, May.
    8. Loic Du Parquet & Pascale Petit, 2019. "Discrimination à l’embauche : Ce que nous apprennent deux décennies de testings en France," Working Papers hal-02333816, HAL.
    9. Leen Vandecasteele & Anette Eva Fasang, 2021. "Neighbourhoods, networks and unemployment: The role of neighbourhood disadvantage and local networks in taking up work," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 696-714, March.
    10. Emmanuel Duguet & David Gray & Yannick L'Horty & Loïc du Parquet & Pascale Petit, 2020. "Labour market effects of urban riots: An experimental assessment," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 787-806, June.
    11. Sylvain Chareyron & Yannick L'Horty & Pascale Petit & Souleymane Mbaye, 2019. "Mesurer l’impact d’un courrier d’alerte sur les discriminations liées à l’origine," Working Papers hal-02333840, HAL.
    12. Mathieu Bunel & Pascale Petit & Loïc du Parquet & Yannick l'Horty, 2017. "Les discriminations dans l'accès au logement à Paris : Une expérience contrôlée," Post-Print hal-03387408, HAL.
    13. Mikula Štěpán & Reggiani Tommaso, 2022. "Residential-Based Discrimination in the Labor Market," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 22(2), pages 373-388, April.
    14. Magnus Carlsson & Stefan Eriksson, 2023. "Do employers avoid hiring workers from poor neighborhoods? Experimental evidence from the real labor market," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 376-402, April.
    15. Sylvain Chareyron & Laetitia Challe & Yannick L'Horty & Pascale Petit, 2020. "The failure of the “Emplois Francs” scheme: evaluation with repeated testing," Erudite Working Paper 2020-02, Erudite.
    16. Nathalie Greenan & Joseph Lanfranchi & Yannick L'Horty & Mathieu Narcy & Guillaume Pierne, 2018. "Do Competitive Examinations Promote Diversity in Civil Service?," Post-Print halshs-02156947, HAL.

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    More about this item

    Keywords

    access to employment; discrimination; testing; neighbourhood effects; experiments;
    All these keywords.

    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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