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Mapping Inequality of Opportunity in France and its Regions: A Data-Driven Analysis of Income Inequality from Fiscal Administrative Data

Thibaut Plassot and Michaël Sicsic
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Thibaut Plassot: UB - Université de Bordeaux

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Abstract: This paper provides measures of Inequality of Opportunity (IOp) in France and its regions using an original database that synthesizes wide administrative information. The data directly links young adults' incomes in 2019 to those of their parents in 2010, and to other circumstances like gender, family capital, household type, living area, occupation status, education and migratory status of parents. The contributions of the article are threefold : first, it calculates IOp in France based on fiscal administrative information for the first time ; second, it provides measures of both ex-ante and ex-post IOp, and with different robustness checks ; and third, it computes IOp for each region in France and identifies bottlenecks to equality of opportunity. We show that ex-post IOp accounts for almost half of the total inequality, while ex-ante IOp represents a much smaller proportion. Moreover, we find that IOp measured with relative rank is smaller than IOp measured with absolute income. We also provide an extensive survey of the international literature and show that France is characterized by a moderate level of IOp compared to other countries. Lastly, we highlight the heterogeneity at the subnational level by identifying four groups of regions according to their inequality profiles.

Keywords: Inequality of Opportunity Regional Analysis Conditional Inference Trees Administrative data France C14 D31 D63 O15 P25; Inequality of Opportunity; Regional Analysis; Conditional Inference Trees; Administrative data; France (search for similar items in EconPapers)
Date: 2023-11-07
Note: View the original document on HAL open archive server: https://univ-pantheon-assas.hal.science/hal-04273119v1
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Working Paper: Mapping Inequality of Opportunity in France and its Regions: A Data-Driven Analysis of Income Inequality from Fiscal Administrative Data (2023) Downloads
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