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Comment réduire la fracture spatiale ? Une application en Île-de-France


  • Nathalie Georges
  • Yannick L’Horty
  • Florent Sari


We estimate a spatial error model on Paris-region data to explain unemployment-to-work transition disparities. We examine representative indicators of local employment dynamics, the mismatch between residential location of the unemployed and place of work, the mismatch between the skills of the unemployed and those required by employers, residential segregation and residential status. We use methods that make it possible to assess the scope of each of these explanations and to determine which are the most important to consider in terms of public policies. Results show the need for a stronger focus on skills and spatial mismatches.

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  • Nathalie Georges & Yannick L’Horty & Florent Sari, 2015. "Comment réduire la fracture spatiale ? Une application en Île-de-France," Economie & Prévision, La Documentation Française, vol. 0(1), pages 17-37.
  • Handle: RePEc:cai:ecoldc:ecop_206_0017

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    References listed on IDEAS

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    Cited by:

    1. Frédéric Gavrel & Nathalie Georges & Yannick L’Horty & Isabelle Lebon, 2015. "Inadéquation des qualifications et fracture spatiale," Economie & Prévision, La Documentation Française, vol. 0(1), pages 1-16.
    2. Emilie Bourdu & Olivier Bouba-Olga, 2012. "Évaluation d'impact d'un nouveau service public de formation professionnelle," Post-Print hal-00613021, HAL.
    3. Yannick L'Horty & Florent Sari, 2011. "Pourquoi tant de chômeurs à Paris ?," Working Papers halshs-00744900, HAL.


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