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Inequality of Opportunity in Wealth

  • While inequality of opportunity (IOp) in earnings is well studied, the literature on IOp in individual net wealth is scarce to non-existent. This is problematic because both theoretical and empirical evidence show that the position in the wealth and income distribution can significantly diverge.We measure ex-ante IOp in net wealth for Germany using data from the Socio-Economic Panel (SOEP). Ex-ante IOp is defined as the contribution of circumstances to the inequality in net wealth before effort is exerted. The SOEP allows for a direct mapping from individual circumstances to individual net wealth and for a detailed decomposition of net wealth inequality into a variety of circumstances; among them childhood background, intergenerational transfers, and regional characteristics. The ratio of inequality of opportunity to total inequality is stable from 2002 to 2019. This is in sharp contrast to labor earnings, where ex-ante IOp is declining over time. Our estimates suggest that about 62% of the inequality in net wealth is due toWhile inequality of opportunity (IOp) in earnings is well studied, the literature on IOp in individual net wealth is scarce to non-existent. This is problematic because both theoretical and empirical evidence show that the position in the wealth and income distribution can significantly diverge.We measure ex-ante IOp in net wealth for Germany using data from the Socio-Economic Panel (SOEP). Ex-ante IOp is defined as the contribution of circumstances to the inequality in net wealth before effort is exerted. The SOEP allows for a direct mapping from individual circumstances to individual net wealth and for a detailed decomposition of net wealth inequality into a variety of circumstances; among them childhood background, intergenerational transfers, and regional characteristics. The ratio of inequality of opportunity to total inequality is stable from 2002 to 2019. This is in sharp contrast to labor earnings, where ex-ante IOp is declining over time. Our estimates suggest that about 62% of the inequality in net wealth is due to circumstances. The most important circumstances are intergenerational transfers, parental occupation, and the region of birth. In contrast, gender and individuals’ own education are the most important circumstances for earnings.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Daniel GraeberORCiDGND, Viola Hilbert, Johannes KönigORCiD
URN:urn:nbn:de:kobv:517-opus4-609673
DOI:https://doi.org/10.25932/publishup-60967
ISSN:2628-653X
Titel des übergeordneten Werks (Englisch):CEPA Discussion Papers
Untertitel (Englisch):Levels, Trends, and Drivers
Schriftenreihe (Bandnummer):CEPA Discussion Papers (69)
Publikationstyp:Arbeitspapier
Sprache:Englisch
Datum der Erstveröffentlichung:05.10.2023
Erscheinungsjahr:2023
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:05.10.2023
Freies Schlagwort / Tag:decomposition; inequality; inequality of opportunity; wealth
Ausgabe:69
Seitenanzahl:54
RVK - Regensburger Verbundklassifikation:MS 1330, QI 200, QX 200
Organisationseinheiten:Extern / Extern
Zentrale und wissenschaftliche Einrichtungen / Center for Economic Policy Analysis (CEPA)
DDC-Klassifikation:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
JEL-Klassifikation:D Microeconomics / D3 Distribution / D31 Personal Income, Wealth, and Their Distributions
D Microeconomics / D6 Welfare Economics / D63 Equity, Justice, Inequality, and Other Normative Criteria and Measurement
J Labor and Demographic Economics / J2 Demand and Supply of Labor / J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J Labor and Demographic Economics / J6 Mobility, Unemployment, and Vacancies / J62 Job, Occupational, and Intergenerational Mobility
Peer Review:Nicht referiert
Lizenz (Deutsch):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
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