Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases
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Data de Publicação: | 2015 |
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Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/7818 |
Resumo: | This paper was presented at the 3rd Linked Employer-Employee Data Workshop LEED 2013, June 27-28, Lisbon, Portugal |
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Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databasesWage FunctionQuantile RegressionLinked Employer-Employee DataLabour Force SurveyMale-Female Wage DifferencesThis paper was presented at the 3rd Linked Employer-Employee Data Workshop LEED 2013, June 27-28, Lisbon, PortugalThe research aims to study the distribution of hourly wages for men and women in Portugal, adopting a quantile regression (QR) approach. Two databases are used for the estimation of the wage functions: the Quadros de Pessoal, Linked Employer-Employee Data (QP-LEED) and the Inquérito ao Emprego, Portuguese Labour Force Survey (IE-LFS). Three basic models are considered to explain the hourly wages for men and women: the first model, using each database separately, is estimated adopting education, tenure, potential experience, activity sector, and job as independent variables; the second, using data from QP-LEED, includes additional determinants related to firm (firm size and foreign social capital); and the third, using data from the IE-LFS, includes additional independent variables related to the worker's family (marital status and children). The results indicate that: (i) Regardless of the database used, the quantile regression (QR) shows superiority over OLS approach; (ii) In general, the same model specification estimated using each database - one administrative (QP-LEED), and the other based on a survey (IE-LFS) - present convergent results; (iii) Independently of the database used, the equations for men and for women reveal that the levels of education have a higher impact on wage determination; (iv) In general, the variables related to the firm contribute to the explanation of wages of men and women while those related to family only contribute to the explanation of men's wages; and (v) the clear different returns for the same characteristics found between men and women, and the pattern of differences which increase across quantiles strongly indicates that the present study should continue in the future, with the analysis of the explanation of the gender wage gap.ISEG – Departamento de EconomiaRepositório da Universidade de LisboaFigueiredo, Maria da ConceiçãoFontainha, Elsa2015-01-21T14:41:35Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/7818engFigueiredo, Maria da Conceição e Elsa Fontainha .2015. "Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases". Instituto Superior de Economia e Gestão. DE Working papers nº 1-2015/DE2183-1815info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:38:29Zoai:www.repository.utl.pt:10400.5/7818Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:54:55.551321Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
title |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
spellingShingle |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases Figueiredo, Maria da Conceição Wage Function Quantile Regression Linked Employer-Employee Data Labour Force Survey Male-Female Wage Differences |
title_short |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
title_full |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
title_fullStr |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
title_full_unstemmed |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
title_sort |
Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases |
author |
Figueiredo, Maria da Conceição |
author_facet |
Figueiredo, Maria da Conceição Fontainha, Elsa |
author_role |
author |
author2 |
Fontainha, Elsa |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Figueiredo, Maria da Conceição Fontainha, Elsa |
dc.subject.por.fl_str_mv |
Wage Function Quantile Regression Linked Employer-Employee Data Labour Force Survey Male-Female Wage Differences |
topic |
Wage Function Quantile Regression Linked Employer-Employee Data Labour Force Survey Male-Female Wage Differences |
description |
This paper was presented at the 3rd Linked Employer-Employee Data Workshop LEED 2013, June 27-28, Lisbon, Portugal |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-21T14:41:35Z 2015 2015-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/7818 |
url |
http://hdl.handle.net/10400.5/7818 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Figueiredo, Maria da Conceição e Elsa Fontainha .2015. "Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases". Instituto Superior de Economia e Gestão. DE Working papers nº 1-2015/DE 2183-1815 |
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 |
ISEG – Departamento de Economia |
publisher.none.fl_str_mv |
ISEG – Departamento de Economia |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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