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Exploring the inter-industry wage premia in Portugal along the wage distribution: evidence from EU-SILC data

Author

Listed:
  • Marco Biagetti

    (lian Ministry of Economic Development, Department of Economic and Social Cohesion)

  • Sergio Scicchitano

    (University of Rome "La Sapienza" and Italian Ministry of Economic Development)

Abstract

In this article we investigate whether inequality in the inter-industry wage premia may be explained by unobserved differences in workers' educational skills. We use the last 2007 wave of EU-SILC data set for Portugal, a nation which can be considered a case-study, due to its traditional high inter-industry wage dispersion. Applying both OLS and Quantile Regression techniques, our results suggest that quality differences across workers still remain an irrelevant matter in the wage premia determination, even after many noteworthy educational reforms adopted in that country since the beginning of the 1990s.

Suggested Citation

  • Marco Biagetti & Sergio Scicchitano, 2011. "Exploring the inter-industry wage premia in Portugal along the wage distribution: evidence from EU-SILC data," Economics Bulletin, AccessEcon, vol. 31(1), pages 93-99.
    • Handle: RePEc:ebl:ecbull:eb-10-00789
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    File URL: http://www.accessecon.com/Pubs/EB/2011/Volume31/EB-11-V31-I1-P11.pdf
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    Citations

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    Cited by:

    1. Evangelia Papapetrou & Pinelopi Tsalaporta, 2016. "Inter-industry wage differentials in Greece: rent-sharing and unobserved heterogeneity hypotheses," Working Papers 213, Bank of Greece.
    2. Evangelia Papapetrou & Pinelopi Tsalaporta, 2017. "Inter-Industry Wage Differentials in Greece: Evidence from Quantile Regression Analysis," International Economic Journal, Taylor & Francis Journals, vol. 31(1), pages 51-67, January.

    More about this item

    Keywords

    Returns to education; inter-industry wage inequality; quantile regression; Portugal;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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