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The Gini and Mean Log Deviation Indices of Multivariate Inequality of Opportunity

Author

Listed:
  • Marek Kapera

    (Institute of Economics, Polish Academy of Sciences, Nowy Swiat 72, 00-330 Warsaw, Poland)

  • Martyna Kobus

    (Institute of Economics, Polish Academy of Sciences, Nowy Swiat 72, 00-330 Warsaw, Poland)

Abstract

The most common approach to measuring inequality of opportunity in income is to apply the Gini inequality index or the Mean Log Deviation (MLD) index to a smoothed distribution (i.e., a distribution of type mean incomes). We show how this approach can be naturally extended to include life outcomes other than income (e.g., health, education). We propose two measures: the Gini and MLD indices of multivariate inequality of opportunity. We show that they can be decomposed into the contribution of each outcome and the dependence of the outcomes. Using these measures, we calculate inequality of opportunity in health and income across European countries.

Suggested Citation

  • Marek Kapera & Martyna Kobus, 2024. "The Gini and Mean Log Deviation Indices of Multivariate Inequality of Opportunity," Econometrics, MDPI, vol. 12(2), pages 1-16, April.
    • Handle: RePEc:gam:jecnmx:v:12:y:2024:i:2:p:10-:d:1377313
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    References listed on IDEAS

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    Cited by:

    1. Francesco Colcerasa, 2025. "Kuznets and Gatsby at the Crossroad of Inequality of Opportunity: New Evidence From European Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 180(3), pages 1495-1544, December.

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