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Testing for Discrimination in Leisure Accommodation

Author

Listed:
  • Mathieu Bunel

    (LEDi - Laboratoire d'Economie de Dijon [Dijon] - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE], TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique)

  • Yannick L'Horty

    (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, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique)

  • Souleymane Mbaye

    (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, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique)

  • Loïc Du Parquet

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

  • Pascale Petit

    (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, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique)

Abstract

We conducted a correspondence test covering 1,433 leisure accommodation facilities (campsites, hotels and guesthouses) located in three major French tourist regions: Provence, Brittany and Loire region. Our multi-criteria experimental protocol makes it possible to test the significance and quantify the different forms of discrimination according to gender, age, ethnic origin suggested by the client's name and reputation of their neighbourhood of residence, as well as the cross effects. Overall, we find evidence of strong discrimination against clients of African origin or those residing in a deprived neighborhood. On the other hand, discrimination against young people is at a much lower level and is concentrated mainly at guesthouses. Finally, the client's gender does not seem to have a significant impact on the probability of obtaining a reservation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mathieu Bunel & Yannick L'Horty & Souleymane Mbaye & Loïc Du Parquet & Pascale Petit, 2021. "Testing for Discrimination in Leisure Accommodation," Post-Print hal-04264888, HAL.
    • Handle: RePEc:hal:journl:hal-04264888
    DOI: 10.15609/annaeconstat2009.141.0023
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    JEL classification:

    • 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
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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