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Reproduction of Parental Occupations, Income and Poverty in Brazil

Bibliographic Data

ID2064372
AuthorsMariana Ribeiro Gomes (0000-0002-7536-8710, Universidade Estadual de Londrina), Marina Silva Da Cunha (0000-0001-9122-3944, Universidade Estadual de Maringá), Solange De Cassia Inforzato De Souza (0000-0002-9806-2319, Universidade Estadual de Londrina), Paulo Mourão (0000-0001-6046-645X, University of Minho, corresponding author)
Year2023
Volume167
Issue1-3
Pages339-362
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Indicators Research (JOURNAL)
Journal identifiersISSN: 0303-8300 • E-ISSN: 1573-0921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11205-023-03103-y
OpenAlexW4365142451
LanguageEN
Citations received3
References cited24

This article aims to analyze the parental reproduction of occupations and their effects on income according to the diverse socioeconomic conditions of Brazil. Logistic regressions and wage decomposition using RIF -Recentered Influence Function-were applied to the microdata of the 2019 National Continuous Household Sample Survey. We found that sons tend to follow the occupation of fathers and daughters that of mothers; rural dwellers from traditional families and from poorer classes with low levels of education are more likely to reproduce their parents' occupation. Parental reproduction of occupations among the poor leads to lower remuneration for individuals compared to those who choose other occupations and to the maintenance of economic poverty. Impacts are greatest in the smallest quantile of wage distribution and for the poor

Biology · Census · Demographic economics · Economic growth · Economics · Geography · Labour economics · Microdata (statistics · Population · Poverty · Remuneration · Reproduction · Socioeconomic status · Socioeconomics · Sociology · Wage · Demography · Employment and Welfare Studies · Intergenerational and Educational Inequality Studies · Retirement, Disability, and Employment

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Unique citing works3
Citations per year1
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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