Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Economia Ensaios |
Texto Completo: | https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/73355 |
Resumo: | This study examines the factors affecting income and income inequality in Pernambuco, Brazil. Using data from the Continuous PNAD, the authors estimate the Mincerian equation for income and the Oaxaca-Blinder decomposition with unconditional quantile regression. The results show that education has the greatest impact on earnings, particularly for non-white and female individuals. Unexplained effects, such as discrimination, are the main drivers of income inequality between urban and rural areas. This study provides valuable insights into the distribution of income and highlights the importance of addressing education and discrimination in efforts to reduce inequality. |
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Economia Ensaios |
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Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019RendaDesigualdadeEducaçãoDiscriminaçãoIncomeInequalityEducationDiscriminationThis study examines the factors affecting income and income inequality in Pernambuco, Brazil. Using data from the Continuous PNAD, the authors estimate the Mincerian equation for income and the Oaxaca-Blinder decomposition with unconditional quantile regression. The results show that education has the greatest impact on earnings, particularly for non-white and female individuals. Unexplained effects, such as discrimination, are the main drivers of income inequality between urban and rural areas. This study provides valuable insights into the distribution of income and highlights the importance of addressing education and discrimination in efforts to reduce inequality.This study examines the factors affecting income and income inequality in Pernambuco, Brazil. Using data from the Continuous PNAD, the authors estimate the Mincerian equation for income and the Oaxaca-Blinder decomposition with unconditional quantile regression. The results show that education has the greatest impact on earnings, particularly for non-white and female individuals. Unexplained effects, such as discrimination, are the main drivers of income inequality between urban and rural areas. This study provides valuable insights into the distribution of income and highlights the importance of addressing education and discrimination in efforts to reduce inequality.EDUFU2024-04-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/7335510.14393/REE-v39nesp.abrila2024-73355Revista Economia Ensaios; Vol. 39 No. esp.abril (2024): Economia Social e do TrabalhoRevista Economia Ensaios; v. 39 n. esp.abril (2024): Economia Social e do Trabalho1983-19940102-2482reponame:Economia Ensaiosinstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/73355/38657Copyright (c) 2024 Revista Economia Ensaiosinfo:eu-repo/semantics/openAccess Justo, Wellington RibeiroAlcantara Medeiros, AndersonBrito Sobreira , Diogo2024-04-30T22:34:13Zoai:ojs.www.seer.ufu.br:article/73355Revistahttps://seer.ufu.br/index.php/revistaeconomiaensaiosPUBhttps://seer.ufu.br/index.php/revistaeconomiaensaios/oai||ecoensaios@ufu.br|| ecoensaios@ufu.br1983-19940102-2482opendoar:2024-04-30T22:34:13Economia Ensaios - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
title |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
spellingShingle |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 Justo, Wellington Ribeiro Renda Desigualdade Educação Discriminação Income Inequality Education Discrimination |
title_short |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
title_full |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
title_fullStr |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
title_full_unstemmed |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
title_sort |
Determinants of Income and Decomposition of Income Inequality by Gender, Ethnicity, and Residence in Pernambuco for the Years 2015 and 2019 |
author |
Justo, Wellington Ribeiro |
author_facet |
Justo, Wellington Ribeiro Alcantara Medeiros, Anderson Brito Sobreira , Diogo |
author_role |
author |
author2 |
Alcantara Medeiros, Anderson Brito Sobreira , Diogo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Justo, Wellington Ribeiro Alcantara Medeiros, Anderson Brito Sobreira , Diogo |
dc.subject.por.fl_str_mv |
Renda Desigualdade Educação Discriminação Income Inequality Education Discrimination |
topic |
Renda Desigualdade Educação Discriminação Income Inequality Education Discrimination |
description |
This study examines the factors affecting income and income inequality in Pernambuco, Brazil. Using data from the Continuous PNAD, the authors estimate the Mincerian equation for income and the Oaxaca-Blinder decomposition with unconditional quantile regression. The results show that education has the greatest impact on earnings, particularly for non-white and female individuals. Unexplained effects, such as discrimination, are the main drivers of income inequality between urban and rural areas. This study provides valuable insights into the distribution of income and highlights the importance of addressing education and discrimination in efforts to reduce inequality. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-04-30 |
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://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/73355 10.14393/REE-v39nesp.abrila2024-73355 |
url |
https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/73355 |
identifier_str_mv |
10.14393/REE-v39nesp.abrila2024-73355 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/73355/38657 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Revista Economia Ensaios info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Revista Economia Ensaios |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Revista Economia Ensaios; Vol. 39 No. esp.abril (2024): Economia Social e do Trabalho Revista Economia Ensaios; v. 39 n. esp.abril (2024): Economia Social e do Trabalho 1983-1994 0102-2482 reponame:Economia Ensaios instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Economia Ensaios |
collection |
Economia Ensaios |
repository.name.fl_str_mv |
Economia Ensaios - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||ecoensaios@ufu.br|| ecoensaios@ufu.br |
_version_ |
1799944249956892672 |