Intergenerational income mobility and returns to education in Southern Brazil
Cesar Augusto Oviedo Tejada,
Pedro Pita Barros,
Anderson Moreira Aristides dos Santos,
Bernardo Horta,
Andréa D. Bertoldi,
Janaína Vieira dos Santos Motta and
Aluísio J D Barros
Economic Modelling, 2024, vol. 141, issue C
Abstract:
This study analyzes intergenerational income mobility in Southern Brazil. Previous research has demonstrated that Brazil continues to be one of the least mobile countries in the world; however, the country has experienced strong socioeconomic advances in recent decades that may have affected mobility. The use of data from the 1982 birth cohort in the city of Pelotas, in the extreme south of Brazil, makes this one of the first studies to estimate mobility using direct observations of parental and filial income in Brazil. Using various estimation techniques, the results reveal relatively high income mobility compared with past Brazilian standards. Mobility is higher for nonwhites, extremely similar across genders, and higher among the poor. The findings indicate that increased government investment in education and reduced returns to education in recent decades are possible channels.
Keywords: Intergenerational mobility; Income; Cohort studies (search for similar items in EconPapers)
JEL-codes: D31 J31 J62 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999324002190
Full text for ScienceDirect subscribers only
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:eee:ecmode:v:141:y:2024:i:c:s0264999324002190
DOI: 10.1016/j.econmod.2024.106862
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().