The demography of education in Brazil: inequality of educational opportunities based on Grade Progression Probability (1986-2008)
Eduardo Luiz Gonçalves Rios-Neto and
Raquel Guimarães ()
Vienna Yearbook of Population Research, 2010, vol. 8, issue 1, 283-312
Abstract:
This article shows evidence regarding the educational attainment and inequality of educational opportunities in Brazil based on the grade progression probability method (GPP) between the years 1981 and 2008. We describe some stylised facts about the educational trajectory in Brazil, then we test two hypothesis suggested by Mare (1979, 1980). The first hypothesis states that the effect of social origins decreases along the educational trajectory. The second states that the educational expansion between two periods would reduce the inequality of educational opportunities in a given grade. Results show an increase in grade probability in nearly all grades, but this trend is most striking in the earlier stages. Educational stratification results show that Mare’s first hypothesis could not be corroborated. The second hypothesis was partly confirmed. We found a decline during the period analysed on the effect of household head’s education on grade progression at the earlier transitions. Furthermore, the selectivity pattern seemed to be transferred to later grade transitions.
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://epub.oeaw.ac.at/0xc1aa500d_0x0024fc48.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vid:yearbk:v:8:y:2010:i:1:p:283-312
Access Statistics for this article
Vienna Yearbook of Population Research is currently edited by Tomas Sobotka and Maria Winkler-Dworak
More articles in Vienna Yearbook of Population Research from Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna
Bibliographic data for series maintained by Bernhard Rengs ().