Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches

Detalhes bibliográficos
Autor(a) principal: Galego, Aurora
Data de Publicação: 2006
Outros Autores: Pereira, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/8447
Resumo: In this paper we use two alternative approaches to study the extent of gender wage discrimination in Portugal. Both methods involve the estimation of wage equations for males and females and the Blinder [1973] and Oaxaca [1973] decomposition. However, to take into account possible sample selection bias, we consider both parametric and semi-parametric methods. First, we consider a parametric approach that relies on distributional assumptions about the distribution of the error terms in the model (Vella (1992, 1998) and Wooldridge (1998)). Within this approach, if the distributional assumption is not satisfied, the parameters’ estimates may be inconsistent. Secondly, we apply Li and Wooldridge [2002] semi-parametric estimator, which does not assume any known distribution on the joint distribution of the errors of the wage equation and of the sample selection equation; the distribution has an unknown form and is estimated through non-parametric kernel techniques.We employ micro data for Portugal from the European Community Household Panel (ECHP). The results from both approaches provide evidence in favour of the existence of gender wage discrimination in Portugal. However, the extent of labour market discrimination decreases when sample selection bias corrections are taken into account.
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spelling Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approacheswage differentialsdiscriminationsample selectionsemi-parametric estimationIn this paper we use two alternative approaches to study the extent of gender wage discrimination in Portugal. Both methods involve the estimation of wage equations for males and females and the Blinder [1973] and Oaxaca [1973] decomposition. However, to take into account possible sample selection bias, we consider both parametric and semi-parametric methods. First, we consider a parametric approach that relies on distributional assumptions about the distribution of the error terms in the model (Vella (1992, 1998) and Wooldridge (1998)). Within this approach, if the distributional assumption is not satisfied, the parameters’ estimates may be inconsistent. Secondly, we apply Li and Wooldridge [2002] semi-parametric estimator, which does not assume any known distribution on the joint distribution of the errors of the wage equation and of the sample selection equation; the distribution has an unknown form and is estimated through non-parametric kernel techniques.We employ micro data for Portugal from the European Community Household Panel (ECHP). The results from both approaches provide evidence in favour of the existence of gender wage discrimination in Portugal. However, the extent of labour market discrimination decreases when sample selection bias corrections are taken into account.2013-04-03T11:29:50Z2013-04-032006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/8447http://hdl.handle.net/10174/8447engGalego, A. e J. Pereira (2006), Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches, Documento de Trabalho nº 2006/13, Universidade de Évora, Departamento de Economia.17agalego@uevora.ptjpereira@uvevora.ptJ31, J71, C1413_2006Department of Economics, University of ÉvoraDepartment of Economics, University of ÉvoraGalego, AuroraPereira, Joãoinfo: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:RCAAP2023-08-08T03:58:59ZPortal AgregadorONG
dc.title.none.fl_str_mv Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
title Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
spellingShingle Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
Galego, Aurora
wage differentials
discrimination
sample selection
semi-parametric estimation
title_short Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
title_full Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
title_fullStr Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
title_full_unstemmed Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
title_sort Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches
author Galego, Aurora
author_facet Galego, Aurora
Pereira, João
author_role author
author2 Pereira, João
author2_role author
dc.contributor.author.fl_str_mv Galego, Aurora
Pereira, João
dc.subject.por.fl_str_mv wage differentials
discrimination
sample selection
semi-parametric estimation
topic wage differentials
discrimination
sample selection
semi-parametric estimation
description In this paper we use two alternative approaches to study the extent of gender wage discrimination in Portugal. Both methods involve the estimation of wage equations for males and females and the Blinder [1973] and Oaxaca [1973] decomposition. However, to take into account possible sample selection bias, we consider both parametric and semi-parametric methods. First, we consider a parametric approach that relies on distributional assumptions about the distribution of the error terms in the model (Vella (1992, 1998) and Wooldridge (1998)). Within this approach, if the distributional assumption is not satisfied, the parameters’ estimates may be inconsistent. Secondly, we apply Li and Wooldridge [2002] semi-parametric estimator, which does not assume any known distribution on the joint distribution of the errors of the wage equation and of the sample selection equation; the distribution has an unknown form and is estimated through non-parametric kernel techniques.We employ micro data for Portugal from the European Community Household Panel (ECHP). The results from both approaches provide evidence in favour of the existence of gender wage discrimination in Portugal. However, the extent of labour market discrimination decreases when sample selection bias corrections are taken into account.
publishDate 2006
dc.date.none.fl_str_mv 2006-01-01T00:00:00Z
2013-04-03T11:29:50Z
2013-04-03
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/10174/8447
http://hdl.handle.net/10174/8447
url http://hdl.handle.net/10174/8447
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Galego, A. e J. Pereira (2006), Evidence on Gender Wage Discrimination in Portugal: parametric and semi-parametric approaches, Documento de Trabalho nº 2006/13, Universidade de Évora, Departamento de Economia.
17
agalego@uevora.pt
jpereira@uvevora.pt
J31, J71, C14
13_2006
Department of Economics, University of Évora
Department of Economics, University of Évora
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instacron:RCAAP
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