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Residential Segregation and Unemployment: The Case of Brussels

Author

Listed:
  • Claire Dujardin

    (CORE - Center of Operation Research and Econometrics [Louvain] - UCL - Université Catholique de Louvain = Catholic University of Louvain, FNRS - Fonds de la Recherche Scientifique - Fonds de la Recherche Scientifique [FNRS])

  • Harris Selod

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, LEA - Laboratoire d'Economie Appliquée - INRA - Institut National de la Recherche Agronomique, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - GENES - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - GENES - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique, CEPR - Center for Economic Policy Research)

  • Isabelle Thomas

    (CORE - Center of Operation Research and Econometrics [Louvain] - UCL - Université Catholique de Louvain = Catholic University of Louvain, FNRS - Fonds de la Recherche Scientifique - Fonds de la Recherche Scientifique [FNRS], Department of Geography - UCL - Université Catholique de Louvain = Catholic University of Louvain)

Abstract

This paper investigates the causal effects of the spatial organisation of Brussels on unemployment propensities. Using census data at the individual level, the unemployment probability of young adults is estimated while taking into account personal, household and neighbourhood characteristics. The endogeneity of residential locations is solved by restricting the sample to young adults residing with their parents; the potential remaining bias is evaluated by conducting a sensitivity analysis. The results suggest that the neighbourhood of residence significantly increases a youngster's probability of being unemployed, a result which is quite robust to the presence of both observed and unobserved parental covariates.

Suggested Citation

  • Claire Dujardin & Harris Selod & Isabelle Thomas, 2008. "Residential Segregation and Unemployment: The Case of Brussels," Post-Print halshs-00826196, HAL.
    • Handle: RePEc:hal:journl:halshs-00826196
    DOI: 10.1177/0042098007085103
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    Keywords

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    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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