The determinants of male retirement in urban Brazil

Detalhes bibliográficos
Autor(a) principal: Queiroz, Bernardo Lanza
Data de Publicação: 2009
Tipo de documento: Artigo
Idioma: por
Título da fonte: Nova Economia (Online)
Texto Completo: https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/479
Resumo: I use matched and unmatched PME data to study the determinants of male’s retirement over the past two decades. The PME is a very rich source of data, although not very used. The matched data consists of a series of short panel data constructed by matching individual records across adjacent years of the PME. Some patterns I find are not surprising. For example, probability of being retired increases monotonically with age, and the strong  dependence of labor transition on otherindividual characteristics such as education. Some other patterns are more interesting and  surprising. The labor force participation rates of older workers in the main metropolitanareas are lower than what is observed in the rest of the country. The main explanation is that workers in the main metropolitan areas had earlier enrollment into the system andthey also have better access to early retirement benefits. I also observed an inverse  U-shaped relation between education andretirement. Less and more educated workers have similar retirement patterns during the period studied. Last, I find that more  educated workers, and those in the formal sector, have higher retirement probabilities than less educated and those in the informal labor market.
id UFMG-4_59f3120da552ef1b93aebbc4220b5dda
oai_identifier_str oai:ojs.pkp.sfu.ca:article/479
network_acronym_str UFMG-4
network_name_str Nova Economia (Online)
repository_id_str
spelling The determinants of male retirement in urban BrazilThe determinants of male retirement in urban Brazilretirementlabor forceaposentadoriaparticipação noI use matched and unmatched PME data to study the determinants of male’s retirement over the past two decades. The PME is a very rich source of data, although not very used. The matched data consists of a series of short panel data constructed by matching individual records across adjacent years of the PME. Some patterns I find are not surprising. For example, probability of being retired increases monotonically with age, and the strong  dependence of labor transition on otherindividual characteristics such as education. Some other patterns are more interesting and  surprising. The labor force participation rates of older workers in the main metropolitanareas are lower than what is observed in the rest of the country. The main explanation is that workers in the main metropolitan areas had earlier enrollment into the system andthey also have better access to early retirement benefits. I also observed an inverse  U-shaped relation between education andretirement. Less and more educated workers have similar retirement patterns during the period studied. Last, I find that more  educated workers, and those in the formal sector, have higher retirement probabilities than less educated and those in the informal labor market.Eu uso dados longitudinais e de período da Pesquisa Mensal de Emprego (PME) para investigar os determinantes da aposentadoria masculina nas duas últimas décadas. A PME é uma fonte de dados  muito rica, porém pouco utilizada. Os dados longitudinais foram construídos pareando informações individuais de anos adjacentes da PME.Eu encontrei alguns padrões de aposentadoria pouco  surpreendentes. Por exemplo, a probabilidade de a pessoa ser aposentada aumenta com a idade e háuma grande dependência da transição dos indivíduos  para a aposentadoria em características pessoais como a educação. Por outro lado, alguns padrões de aposentadoria são interessantes e surpreendentes. A taxa de participação dos trabalhadores idosos nas  áreas metropolitanas é mais baixa do que o observado nas demais regiões do país. A principal explicação é que esses trabalhadores contribuem para  o sistema previdenciário há mais tempo e tem fácil acesso aos benefícios por tempo de serviço. Eu também observo uma relação de U invertido entre educação e probabilidade de aposentadoria. Os trabalhadores com mais e menos anos de educação formal têm padrões bastante similares de aposentadoria. Por último, eu mostro que os trabalhadores mais educados e aqueles no setor  formal têm maior probabilidade de aposentadoria do que os trabalhadores do setor informal e com menos anos de estudo.Departamento de Ciências Econômicas da UFMG2009-06-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/479Nova Economia; Vol. 17 No. 1 (2007)Nova Economia; v. 17 n. 1 (2007)1980-53810103-6351reponame:Nova Economia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/479/475Queiroz, Bernardo Lanzainfo:eu-repo/semantics/openAccess2020-08-11T04:27:45Zoai:ojs.pkp.sfu.ca:article/479Revistahttps://revistas.face.ufmg.br/index.php/novaeconomiaPUBhttps://revistas.face.ufmg.br/index.php/novaeconomia/oai||ne@face.ufmg.br1980-53810103-6351opendoar:2020-08-11T04:27:45Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv The determinants of male retirement in urban Brazil
The determinants of male retirement in urban Brazil
title The determinants of male retirement in urban Brazil
spellingShingle The determinants of male retirement in urban Brazil
Queiroz, Bernardo Lanza
retirement
labor force
aposentadoria
participação no
title_short The determinants of male retirement in urban Brazil
title_full The determinants of male retirement in urban Brazil
title_fullStr The determinants of male retirement in urban Brazil
title_full_unstemmed The determinants of male retirement in urban Brazil
title_sort The determinants of male retirement in urban Brazil
author Queiroz, Bernardo Lanza
author_facet Queiroz, Bernardo Lanza
author_role author
dc.contributor.author.fl_str_mv Queiroz, Bernardo Lanza
dc.subject.por.fl_str_mv retirement
labor force
aposentadoria
participação no
topic retirement
labor force
aposentadoria
participação no
description I use matched and unmatched PME data to study the determinants of male’s retirement over the past two decades. The PME is a very rich source of data, although not very used. The matched data consists of a series of short panel data constructed by matching individual records across adjacent years of the PME. Some patterns I find are not surprising. For example, probability of being retired increases monotonically with age, and the strong  dependence of labor transition on otherindividual characteristics such as education. Some other patterns are more interesting and  surprising. The labor force participation rates of older workers in the main metropolitanareas are lower than what is observed in the rest of the country. The main explanation is that workers in the main metropolitan areas had earlier enrollment into the system andthey also have better access to early retirement benefits. I also observed an inverse  U-shaped relation between education andretirement. Less and more educated workers have similar retirement patterns during the period studied. Last, I find that more  educated workers, and those in the formal sector, have higher retirement probabilities than less educated and those in the informal labor market.
publishDate 2009
dc.date.none.fl_str_mv 2009-06-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/479
url https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/479
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/479/475
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Departamento de Ciências Econômicas da UFMG
publisher.none.fl_str_mv Departamento de Ciências Econômicas da UFMG
dc.source.none.fl_str_mv Nova Economia; Vol. 17 No. 1 (2007)
Nova Economia; v. 17 n. 1 (2007)
1980-5381
0103-6351
reponame:Nova Economia (Online)
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Nova Economia (Online)
collection Nova Economia (Online)
repository.name.fl_str_mv Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv ||ne@face.ufmg.br
_version_ 1799711057370939392