Urban Segregation and Unemployment: A Case Study of Marseille (France)

Fanny Alivon (1) , Rachel Guillain (1)

1 LEDi - Laboratoire d'Economie de Dijon

In this paper, we study the effects the Marseille’s spatial organization on unemployment. More specifically, differences in characteristics of residential population induce urban stratification so that the urban structure could affect the propensity of unemployment. This potential link is called the reverse causality. In order to evaluate the effect s of spatial structure on unemployment, we implement a spatial probit model to reveal the employment probabilities of young adults still living with their parents. In a first step, we highlight the realness of residential segregation in Marseille by a topology of neighborhoods by degree of deprivation with a principal component analysis (PCA ) and a hierarchical ascending classification (HAC ). In the second step, employment probabilities are estimated with the tools of spatial econometrics. Our results are in favor of the hypothesis that living in a deprived neighborhood or near a deprived area increases the probabilities of un employment.

Mots clés: urban segregation; unemployment; spatial econometrics; spatial probit model

Domaines: Sciences de l'Homme et Société

Fanny Alivon, Rachel Guillain. Urban Segregation and Unemployment: A Case Study of Marseille (France). 64th Annual Meeting of the French Economic Association (AFSE), Center for Research in Economics and Management (CREM), Jun 2015, Rennes, France. ⟨halshs-01237762⟩