Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/7818
Título: Male and female wage functions : a quantile regression analysis using LEED and LFS portuguese databases
Autor: Figueiredo, Maria da Conceição
Fontainha, Elsa
Palavras-chave: wage function
quantile regression
Linked Employer-Employee Data
Labour Force Survey
male-female wage differences
Data: 2015
Editora: ISEG – Departamento de Economia
Citação: 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
Relatório da Série N.º: DE Working papers;nº 1/2015/DE
Resumo: The 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.
Descrição: This paper was presented at the 3rd Linked Employer-Employee Data Workshop LEED 2013, June 27-28, Lisbon, Portugal
URI: http://hdl.handle.net/10400.5/7818
ISSN: 2183-1815
Versão do Editor: https://aquila5.iseg.ulisboa.pt/aquila/getFile.do?method=getFile&fileId=533067&_request_checksum_=1d63b0dcf4319ceedc93921f43974079e7c933c4
Aparece nas colecções:DE - Documentos de trabalho / Working Papers

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Wp012015DE.pdf358,22 kBAdobe PDFVer/Abrir

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.