Exploring economic assimilation of immigrants and their descendants in France: recent insights

Michel Dimou (), Kevin Randy Chemo Dzukou and Alexandra Schaffar ()
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Michel Dimou: LEAD - Laboratoire d'Économie Appliquée au Développement - UTLN - Université de Toulon, UTLN - Université de Toulon
Kevin Randy Chemo Dzukou: LEAD - Laboratoire d'Économie Appliquée au Développement - UTLN - Université de Toulon, UTLN - Université de Toulon
Alexandra Schaffar: LEAD - Laboratoire d'Économie Appliquée au Développement - UTLN - Université de Toulon, UTLN - Université de Toulon

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Abstract: This paper examines the labour market performances of immigrants and their descendants in France by applying a series of empirical Tobit II models on a recent TeO2 database. Our work questions the labour market participation and wage disparities of these groups compared to native-born individuals by controlling different individual attributes, such as gender and educational level, and job characteristics, such as the firm size or the type of job. It also introduces information on ethnic origins and location. Our study provides crucial insights into the labour market performances of immigrants and their descendants in France. It reveals that disparities manifest primarily in labour market participation rather than wages. It also underscores that high-skilled workers' wages do not converge as immigrants consistently yield lower returns on education than natives. Our findings underscore the heterogeneity within the immigrant group based on origins criteria. The performances of immigrants with African and Northern-African origins are lower than those of other groups of immigrants.

Keywords: wage disparities; Immigrants; France; labour market (search for similar items in EconPapers)
Date: 2024-10-21
Note: View the original document on HAL open archive server: https://hal.science/hal-04985827v1
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Published in Applied Economics, 2024, ⟨10.1080/00036846.2024.2417851⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04985827

DOI: 10.1080/00036846.2024.2417851

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