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Tertiary education for all and wage inequality: policy insights from quantile regression

Author

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  • Corrado Andini

Abstract

Purpose - The aim is to assess how a policy of tertiary education for all affects the shape of the unconditional earnings distribution. Design/methodology/approach - The paper discusses the quantile-regression literature looking at the link between education and wage inequality, also proving new evidence based on unconditional quantile regressions. Findings - The findings support the idea that a policy of tertiary education for all increases the overall level of wage inequality. Research limitations/implications - The research has implications for public policy and administration. Among the limitations, the paper does not deal with distributional aspects related to other outcomes (e.g. health outcomes) of the policy of interest. Practical implications - The analysis highlights a series of potential government interventions aimed at reducing the wage-inequality externalities of the policy of interest. Social implications - A policy of tertiary education for all, by itself, is not useful to fight wage inequality. Originality/value - This paper belongs to the small group of studies using unconditional quantile regressions to study the link between education and wage inequality. It is the first study specifically looking at the distributional effects of a policy of tertiary education for all.

Suggested Citation

  • Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    • Handle: RePEc:eme:jespps:jes-05-2022-0313
    DOI: 10.1108/JES-05-2022-0313
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    Cited by:

    1. is not listed on IDEAS
    2. Choi, Seonkyung & Li, Huihui & Ogawa, Keiichi, 2023. "Upper secondary vocational education and decent work in Indonesia: A gender comparison," International Journal of Educational Development, Elsevier, vol. 101(C).
    3. Petra Sauer & Philippe Van Kerm & Daniele Checchi, 2025. "Higher Education Expansion & Labour Income Inequality in High-income Countries: A Gender-specific Perspective," LIS Working papers 837, LIS Cross-National Data Center in Luxembourg.

    More about this item

    Keywords

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    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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