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Why are there so many long-term unemployed in Paris?

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  • Florent Sari

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique)

  • Yannick L'Horty

    (TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

Abstract

Parisian jobseekers present an abnormally high risk of long-term unemployment, all things being equal. It is a phenomenon specific to Paris and districts closest to the centre. This is a paradox in a job market particularly dense and active. In this article, we propose an explanation which combines the essentials of two mechanisms, Skill Mismatch and Spatial Mismatch. It is because Parisian jobseekers are geographically far from the jobs that suit their profiles that they present a high risk of long-term unemployment. This explanation is corroborated by a model of spatial regimes and correlated errors on the Ile-de-France data and local durations of unemployment

Suggested Citation

  • Florent Sari & Yannick L'Horty, 2015. "Why are there so many long-term unemployed in Paris?," Working Papers halshs-01102753, HAL.
    • Handle: RePEc:hal:wpaper:halshs-01102753
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01102753
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    Keywords

    Spatial Mismatch; Skill Mismatch; spatial regime models; unemployment; spatial econometrics; Paris;
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