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Nonparametric Analysis of Heterogeneous Multidimensional Fairness

Author

Listed:
  • Bram De Rock
  • Domenico Moramarco
Abstract
The paper proposes a framework of assess fairness in multidimensional distributions while respecting individuial preferences. We characterize a simple measure - Equivalent Advantage - that captures the distance from the current outcome to the potentially individual specific norm outcome. We introduce a non parametric approach to partially identify our measure via set identification of individual indifference curves. Our methodology is illustrated by analyzing multidimensional fairness in Belgium using the MEqIn database. Despite the set identification, we show that our analysis of the Equivalent Advantage distribution allows for interesting insights on multidimensional inequality, poverty and opportunity distribution.

Suggested Citation

  • Bram De Rock & Domenico Moramarco, 2022. "Nonparametric Analysis of Heterogeneous Multidimensional Fairness," Working Papers ECARES 2022-29, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:eca:wpaper:2013/350076
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    References listed on IDEAS

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    More about this item

    Keywords

    fairness; multidimensional inequality; poverty; equal- ity of opportunity; Equivalent Advantage; individual preferences; nonparametric analysis;
    All these keywords.

    JEL classification:

    • D30 - Microeconomics - - Distribution - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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