Differential between levels of income by gender in the brazilian midwestern region
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta Scientiarum. Human and Social Sciences (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/23008 |
Resumo: | The labor market may be a method to measure gender discrimination in the economy. Current article analyzes the difference between gender and yield classification in the Midwestern region ofBrazil in 2004 and 2009. The National Household Sample Survey (Pnad) microdata and the quantile regression method for 10, 25, 50, 75 and 90th percentiles of income distribution were employed. Results showed that, regardless of the quantiles, males have a higher income than females, and that higher education returns occur within the higher income brackets. Earnings differential may therefore arise from innate characteristics, such as gender, as well as personal choices, such as education. |
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Differential between levels of income by gender in the brazilian midwestern regionDiferencial entre níveis de rendimentos por gêneros na região centro-oeste Brasileirahuman capitalsegmentationeducationquantile regressioncapital humanosegmentaçãoeducaçãoregressão quantílicaThe labor market may be a method to measure gender discrimination in the economy. Current article analyzes the difference between gender and yield classification in the Midwestern region ofBrazil in 2004 and 2009. The National Household Sample Survey (Pnad) microdata and the quantile regression method for 10, 25, 50, 75 and 90th percentiles of income distribution were employed. Results showed that, regardless of the quantiles, males have a higher income than females, and that higher education returns occur within the higher income brackets. Earnings differential may therefore arise from innate characteristics, such as gender, as well as personal choices, such as education. Uma das maneiras de mensurar a discriminação de gênero na economia é por meio do mercado de trabalho. Este artigo tem por objetivo analisar o diferencial entre rendimentos por gênero e classe de renda na região Centro-Oeste do Brasil nos anos de 2004 e 2009. Para isto, utilizam-se os microdados da Pnad e o método de regressão quantílica para os percentis 10, 25, 50, 75 e 90º da distribuição de rendimentos. Os resultados demonstraram que independente do quantil, os homens têm maior rendimento que as mulheres, e que os maiores retornos da educação ocorrem nas maiores faixas de rendimento. Conclui-se que o diferencial de rendimentos pode advir tanto de características inatas como sexo, quanto de escolhas pessoais como educação. Universidade Estadual De Maringá2014-08-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/2300810.4025/actascihumansoc.v36i1.23008Acta Scientiarum. Human and Social Sciences; Vol 36 No 1 (2014); 27-34Acta Scientiarum. Human and Social Sciences; v. 36 n. 1 (2014); 27-341807-86561679-7361reponame:Acta Scientiarum. Human and Social Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/23008/pdf_17Reindel, Cristiane CoelhoPereira, Matheus Wemerson Gomesinfo:eu-repo/semantics/openAccess2014-08-22T14:10:05Zoai:periodicos.uem.br/ojs:article/23008Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/indexPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/oai||actahuman@uem.br1807-86561679-7361opendoar:2014-08-22T14:10:05Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Differential between levels of income by gender in the brazilian midwestern region Diferencial entre níveis de rendimentos por gêneros na região centro-oeste Brasileira |
title |
Differential between levels of income by gender in the brazilian midwestern region |
spellingShingle |
Differential between levels of income by gender in the brazilian midwestern region Reindel, Cristiane Coelho human capital segmentation education quantile regression capital humano segmentação educação regressão quantílica |
title_short |
Differential between levels of income by gender in the brazilian midwestern region |
title_full |
Differential between levels of income by gender in the brazilian midwestern region |
title_fullStr |
Differential between levels of income by gender in the brazilian midwestern region |
title_full_unstemmed |
Differential between levels of income by gender in the brazilian midwestern region |
title_sort |
Differential between levels of income by gender in the brazilian midwestern region |
author |
Reindel, Cristiane Coelho |
author_facet |
Reindel, Cristiane Coelho Pereira, Matheus Wemerson Gomes |
author_role |
author |
author2 |
Pereira, Matheus Wemerson Gomes |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Reindel, Cristiane Coelho Pereira, Matheus Wemerson Gomes |
dc.subject.por.fl_str_mv |
human capital segmentation education quantile regression capital humano segmentação educação regressão quantílica |
topic |
human capital segmentation education quantile regression capital humano segmentação educação regressão quantílica |
description |
The labor market may be a method to measure gender discrimination in the economy. Current article analyzes the difference between gender and yield classification in the Midwestern region ofBrazil in 2004 and 2009. The National Household Sample Survey (Pnad) microdata and the quantile regression method for 10, 25, 50, 75 and 90th percentiles of income distribution were employed. Results showed that, regardless of the quantiles, males have a higher income than females, and that higher education returns occur within the higher income brackets. Earnings differential may therefore arise from innate characteristics, such as gender, as well as personal choices, such as education. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-08-22 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/23008 10.4025/actascihumansoc.v36i1.23008 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/23008 |
identifier_str_mv |
10.4025/actascihumansoc.v36i1.23008 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/23008/pdf_17 |
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 |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Human and Social Sciences; Vol 36 No 1 (2014); 27-34 Acta Scientiarum. Human and Social Sciences; v. 36 n. 1 (2014); 27-34 1807-8656 1679-7361 reponame:Acta Scientiarum. Human and Social Sciences (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Human and Social Sciences (Online) |
collection |
Acta Scientiarum. Human and Social Sciences (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actahuman@uem.br |
_version_ |
1799317508800380928 |