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The role of spatial and skill mismatches: explaining long-term unemployment in Paris

Yannick L’horty () and Florent Sari
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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
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

Authors registered in the RePEc Author Service: Yannick L'Horty ()

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Abstract: In the Paris region, one can observe simultaneously the coexistence of a large and dynamic job pool with long-lasting periods of unemployment. This paradox reveals the importance of skill and spatial mismatch mechanisms, which are often used to explain disparities in local labour market outcomes. This paper uses several spatial models to measure the effects of these two mechanisms on unemployment durations in the Paris region. The results show that both problems affect municipalities close to the centre of Paris, while unemployment situations in municipalities on the fringes of the region are mainly affected by a lack of local employment dynamism.

Keywords: unemployment; spatial regime models; generalized two stages least squares (GS2SLS); skills mismatch; spatial mismatch (search for similar items in EconPapers)
Date: 2019-02-01
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Citations: View citations in EconPapers (1)

Published in Regional Studies, 2019, 53 (2), pp.283-296. ⟨10.1080/00343404.2018.1462480⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03772875

DOI: 10.1080/00343404.2018.1462480

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