A bivariate approach to the Mincerian earnings equation
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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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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 |
_version_ |
1798943115684347904 |