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Desigualdade intergeracional de oportunidades educacionais: uma análise da matrícula e escolaridade das crianças brasileiras

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  • Letícia Marteleto

    (Cedeplar-UFMG)

Abstract

The high disparities on educational levels and opportunities are important determinants of social and economic inequalities in Brazil, which makes their investigation extremely important. Educational inequality occurs early on individuals' educational career in Brazil. It is therefore essential to study the determinants of educational outcomes at the early stages of educational career, due to the potential to reduce inequalities in current and future generations. Data from the national representative PNAD surveys from 1977 to 1999 are used with the goal of answering whether the base of the educational distribution has become more meritocratic during the last decades. The determinants of years of schooling and school enrollment for 1963 and 1983 cohorts - pre and post demography transition - are investigated for all the country. Coefficients from multivariate analyses are utilized for simulations and decompositions, with the purpose to understand the role of social origin in determining educational opportunities. The results show that children from younger cohorts aren't penalized in terms of their educational outcomes, as are the ones from older cohorts because of their mothers' low levels of schooling. Educational inequalities due to intergenerational transmission of education have decreased. Nevertheless, the role of social origin in determining educational levels has persisted.

Suggested Citation

  • Letícia Marteleto, 2004. "Desigualdade intergeracional de oportunidades educacionais: uma análise da matrícula e escolaridade das crianças brasileiras," Textos para Discussão Cedeplar-UFMG td242, Cedeplar, Universidade Federal de Minas Gerais.
    • Handle: RePEc:cdp:texdis:td242
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    References listed on IDEAS

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    1. Chernichovsky, Dov, 1985. "Socioeconomic and Demographic Aspects of School Enrollment and Attendance in Rural Botswana," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 319-332, January.
    2. Lam, David & Schoeni, Robert F, 1993. "Effects of Family Background on Earnings and Returns to Schooling: Evidence from Brazil," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 710-740, August.
    3. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, February.
    4. José Alberto Magno de Carvalho & Laura Rodríguez Wong, 1995. "A window of opportunity: some demographic and socioeconomic implications of the rapid fertility decline in Brazil," Textos para Discussão Cedeplar-UFMG 091, Cedeplar, Universidade Federal de Minas Gerais.
    5. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023, Elsevier.
    6. Lam, David & Levison, Deborah, 1991. "Declining inequality in schooling in Brazil and its effects on inequality in earnings," Journal of Development Economics, Elsevier, vol. 37(1-2), pages 199-225, November.
    7. Deon Filmer & Lant Pritchett, 1999. "The Effect of Household Wealth on Educational Attainment: Evidence from 35 Countries," Population and Development Review, The Population Council, Inc., vol. 25(1), pages 85-120, March.
    8. William L. Parish & Robert J. Willis, 1993. "Daughters, Education, and Family Budgets Taiwan Experiences," Journal of Human Resources, University of Wisconsin Press, vol. 28(4), pages 863-898.
    9. Strauss, J. & Thomas, D., 1995. "Empirical Modeling of Household and Family Decisions," Papers 95-12, RAND - Reprint Series.
    10. David Lam & Suzanne Duryea, 1999. "Effects of Schooling on Fertility, Labor Supply, and Investments in Children, with Evidence from Brazil," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 160-192.
    11. George Psacharopoulos & Harry Anthony Patrinos, 1997. "Family size, schooling and child labor in Peru - An empirical analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(4), pages 387-405.
    12. John Knodel & Malinee Wongsith, 1991. "Family size and children’s education in Thailand: Evidence from a national sample," Demography, Springer;Population Association of America (PAA), vol. 28(1), pages 119-131, February.
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    Cited by:

    1. Danielle Machado & João Ricardo Rodrigues Moreira, 2016. "Non-cognitive abilities and pre-school: a case study for children in Brazil," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 33, pages 605-618, Asociación de Economía de la Educación.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J1 - Labor and Demographic Economics - - Demographic Economics

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