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Estimation of Gender wage Discrimination in the Portuguese labour market

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  • Amélia Bastos
  • Graça Leão Fernandes
  • José Passos

Abstract

Gender wage discrimination is a reality in the Portuguese labour markets although no study has been until now carried on to measure its dimension. We think that economists should contribute to the knowledge of the dimension and significance of this phenomenon by giving orientation for the definition of political measures towards its reduction. In this paper we measure the size of gender wage discrimination in the Portuguese labour market. Furthermore, we evaluate this measure for the five Portuguese main regions. In recent literature about the measurement of gender wage discrimination the Oaxaca decomposition and its developments is a commonly used approach. We extend this approach using bootstrap techniques for statistical inference purposes.

Suggested Citation

  • Amélia Bastos & Graça Leão Fernandes & José Passos, 2003. "Estimation of Gender wage Discrimination in the Portuguese labour market," ERSA conference papers ersa03p184, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa03p184
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    References listed on IDEAS

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    1. Jacques Silber & Michal Weber, 1999. "Labour market discrimination: are there significant differences between the various decomposition procedures?," Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 359-365.
    2. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    3. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    4. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
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    Cited by:

    1. Ferreira Freire Guimarães, Carla Regina & Silva, Joaquim Ramos, 2016. "Pay gap by gender in the tourism industry of Brazil," Tourism Management, Elsevier, vol. 52(C), pages 440-450.
    2. Maria da Conceição Figueiredo & Elsa Fontainha, 2015. "Male and Female Wage Functions: A Quantile Regression Analysis using LEED and LFS Portuguese Databases," Working Papers Department of Economics 2015/01, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

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