Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases

Detalhes bibliográficos
Autor(a) principal: Figueiredo, Maria da Conceição
Data de Publicação: 2015
Outros Autores: Fontainha, Elsa
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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