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Education and risk compensation in wages: a quantile regression approach

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  • José Vieira
  • Carolina Constância
  • João Teixeira

Abstract

This paper examines the effect of wage variation on individual wages. The results reveal that wage variation by educational classifications positively affects wages, while the skewness has a negative effect. As has been referred in previous literature on the issue, both results are consistent with the notion of wage compensation for risk-averse workers. However, our results show that the impact of wage-variation on wages is not reasonably described by a single parameter for all individuals. Such an effect is heterogeneous and varies throughout the conditional wage distribution. Indeed, the positive effect of dispersion increases, and the negative effect of skewness decreases, as we move up on the conditional wage distribution. Apparently, those at the upper end of the conditional wage distribution have both higher risk-aversion and higher affection for skewness.

Suggested Citation

  • José Vieira & Carolina Constância & João Teixeira, 2020. "Education and risk compensation in wages: a quantile regression approach," Applied Economics Letters, Taylor & Francis Journals, vol. 27(3), pages 194-198, February.
    • Handle: RePEc:taf:apeclt:v:27:y:2020:i:3:p:194-198
    DOI: 10.1080/13504851.2019.1610705
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    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

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