A bivariate approach to the Mincerian earnings equation

Detalhes bibliográficos
Autor(a) principal: Cunha, Danúbia R.
Data de Publicação: 2023
Outros Autores: Saulo, Helton, Monsueto, Sandro E., Divino, Jose A.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Brasileira de Economia (Online)
Texto Completo: https://periodicos.fgv.br/rbe/article/view/82231
Resumo: This paper estimates bivariate regressions for wages and hours worked as an alternative to the univariate Mincerian earnings equation. The bivariate vector of dependent variables included both common and specific covariates. Using individual level data from the Brazilian National Household Sample Survey (PNAD), the Student t distribution produced the best fit to the data according to information criteria and Mahalanobis distance. The bivariate estimation accounts for correlation between the dependent variables, identifies antagonistic effects from common covariates and allows assuming different bivariate distributions. Education, type of employment contract and geographical region affect wages and hours worked in opposite directions.
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spelling A bivariate approach to the Mincerian earnings equationA bivariate approach to the Mincerian earnings equationBivariate distributionsMincerian equationWagesHours workedBivariate regression.This paper estimates bivariate regressions for wages and hours worked as an alternative to the univariate Mincerian earnings equation. The bivariate vector of dependent variables included both common and specific covariates. Using individual level data from the Brazilian National Household Sample Survey (PNAD), the Student t distribution produced the best fit to the data according to information criteria and Mahalanobis distance. The bivariate estimation accounts for correlation between the dependent variables, identifies antagonistic effects from common covariates and allows assuming different bivariate distributions. Education, type of employment contract and geographical region affect wages and hours worked in opposite directions.EGV EPGE2023-07-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticlesArtigosapplication/pdfhttps://periodicos.fgv.br/rbe/article/view/82231Revista Brasileira de Economia; Vol. 77 No. 2 (2023): ABR - JUNRevista Brasileira de Economia; v. 77 n. 2 (2023): ABR - JUN1806-91340034-7140reponame:Revista Brasileira de Economia (Online)instname:Fundação Getulio Vargas (FGV)instacron:FGVporhttps://periodicos.fgv.br/rbe/article/view/82231/84063Copyright (c) 2023 Revista Brasileira de Economiainfo:eu-repo/semantics/openAccessCunha, Danúbia R.Saulo, HeltonMonsueto, Sandro E.Divino, Jose A.2023-08-10T19:12:53Zoai:ojs.periodicos.fgv.br:article/82231Revistahttps://periodicos.fgv.br/rbe/https://periodicos.fgv.br/rbe/oai||rbe@fgv.br1806-91340034-7140opendoar:2024-03-06T13:03:52.245939Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV)true
dc.title.none.fl_str_mv A bivariate approach to the Mincerian earnings equation
A bivariate approach to the Mincerian earnings equation
title A bivariate approach to the Mincerian earnings equation
spellingShingle A bivariate approach to the Mincerian earnings equation
Cunha, Danúbia R.
Bivariate distributions
Mincerian equation
Wages
Hours worked
Bivariate regression.
title_short A bivariate approach to the Mincerian earnings equation
title_full A bivariate approach to the Mincerian earnings equation
title_fullStr A bivariate approach to the Mincerian earnings equation
title_full_unstemmed A bivariate approach to the Mincerian earnings equation
title_sort A bivariate approach to the Mincerian earnings equation
author Cunha, Danúbia R.
author_facet Cunha, Danúbia R.
Saulo, Helton
Monsueto, Sandro E.
Divino, Jose A.
author_role author
author2 Saulo, Helton
Monsueto, Sandro E.
Divino, Jose A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Cunha, Danúbia R.
Saulo, Helton
Monsueto, Sandro E.
Divino, Jose A.
dc.subject.por.fl_str_mv Bivariate distributions
Mincerian equation
Wages
Hours worked
Bivariate regression.
topic Bivariate distributions
Mincerian equation
Wages
Hours worked
Bivariate regression.
description This paper estimates bivariate regressions for wages and hours worked as an alternative to the univariate Mincerian earnings equation. The bivariate vector of dependent variables included both common and specific covariates. Using individual level data from the Brazilian National Household Sample Survey (PNAD), the Student t distribution produced the best fit to the data according to information criteria and Mahalanobis distance. The bivariate estimation accounts for correlation between the dependent variables, identifies antagonistic effects from common covariates and allows assuming different bivariate distributions. Education, type of employment contract and geographical region affect wages and hours worked in opposite directions.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-17
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articles
Artigos
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.fgv.br/rbe/article/view/82231
url https://periodicos.fgv.br/rbe/article/view/82231
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.fgv.br/rbe/article/view/82231/84063
dc.rights.driver.fl_str_mv Copyright (c) 2023 Revista Brasileira de Economia
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Revista Brasileira de Economia
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EGV EPGE
publisher.none.fl_str_mv EGV EPGE
dc.source.none.fl_str_mv Revista Brasileira de Economia; Vol. 77 No. 2 (2023): ABR - JUN
Revista Brasileira de Economia; v. 77 n. 2 (2023): ABR - JUN
1806-9134
0034-7140
reponame:Revista Brasileira de Economia (Online)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Revista Brasileira de Economia (Online)
collection Revista Brasileira de Economia (Online)
repository.name.fl_str_mv Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv ||rbe@fgv.br
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