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Measuring inequality of well-being with a correlation-sensitive multidimensional Gini index

Author

Listed:
  • Koen Decancq

    (Katholieke Universiteit Leuven)

  • María Ana Lugo

    (University of Oxford)

Abstract

We propose to measure inequality of well-being with a multidimensional generalization of the Gini coefficient. We derive two inequality indices from their underlying social evaluation functions. These functions are conceived as a double aggregation functions: one across the dimensions of well-being, and another across the individuals. They differ only with respect to the sequencing of aggregations. We argue that the sequencing that does not exclude the Gini index to be sensitive to the correlation between the dimensions is more attractive. We illustrate both Gini indices using Russian household data on three dimensions of well-being: expenditure, health and education.

Suggested Citation

  • Koen Decancq & María Ana Lugo, 2009. "Measuring inequality of well-being with a correlation-sensitive multidimensional Gini index," Working Papers 124, ECINEQ, Society for the Study of Economic Inequality.
    • Handle: RePEc:inq:inqwps:ecineq2009-124
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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2009-124.pdf
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    Cited by:

    1. Francesco Burchi & Nicole Rippin & Claudio E. Montenegro, 2018. "From income poverty to multidimensional poverty—an international comparison," One Pager Arabic 400, International Policy Centre.
    2. Croci Angelini, Elisabetta & Michelangeli, Alessandra, 2012. "Axiomatic measurement of multidimensional well-being inequality: Some distributional questions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 548-557.
    3. Xu, Aiting & Qiu, Keyang & Zhu, Yuhan, 2023. "The measurements and decomposition of innovation inequality: Based on Industry − University − Research perspective," Journal of Business Research, Elsevier, vol. 157(C).
    4. Suman Seth, 2013. "A class of distribution and association sensitive multidimensional welfare indices," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(2), pages 133-162, June.
    5. E. Maasoumi & G. Yalonetzky, 2013. "Introduction to Robustness in Multidimensional Wellbeing Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 1-6, January.
    6. BOSSERT, Walter & CHAKRAVARTY, Satya R. & D’AMBROSIO, Conchita, 2009. "Multidimensional Poverty and Material Deprivation," Cahiers de recherche 2009-11, Universite de Montreal, Departement de sciences economiques.
    7. Ludovico Carrino, 2016. "Data Versus Survey-based Normalisation in a Multidimensional Analysis of Social Inclusion," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 2(3), pages 305-345, November.
    8. Ludovico Carrino, 2015. "The weighting role of normalisation in a multidimensional analysis of Social Inclusion," Working Papers 2015:32, Department of Economics, University of Venice "Ca' Foscari".
    9. Lauri Peterson, 2014. "The Measurement of Non-economic Inequality in Well-Being Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 581-598, November.

    More about this item

    Keywords

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    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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