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Copula-based measurement of dependence between dimensions of well-being

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  • Koen Decancq

Abstract

Most multidimensional measures of social welfare first aggregate the outcomes across the individuals dimension by dimension and then, in the second step, aggregate the resulting summary statistics across the dimensions. This approach is blind to the dependence between dimensions of well-being, that is, the extent to which the positions of the individuals in the different dimensions of well-being are aligned. To quantify what lies behind this blind spot, this article introduces a copula-based incomplete ordering of dependence and two classes of consistent dependence measures. The importance of allowing for dependence in rankings of social welfare is illustrated with a Russian data set between 1995 and 2005.

Suggested Citation

  • Koen Decancq, 2014. "Copula-based measurement of dependence between dimensions of well-being," Oxford Economic Papers, Oxford University Press, vol. 66(3), pages 681-701.
  • Handle: RePEc:oup:oxecpp:v:66:y:2014:i:3:p:681-701.
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    Citations

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    Cited by:

    1. repec:bla:econom:v:84:y:2017:i:334:p:210-238 is not listed on IDEAS
    2. Maria Ana Lugo & Koen Decancq, 2009. "Measuring Inequality of Well-Being with a Correlation-Sensitive Multidimensional Gini Index," Economics Series Working Papers 459, University of Oxford, Department of Economics.
    3. Martyna Kobus & Radoslaw Kurek, 2017. "Copula-based measurement of interdependence for discrete distributions," Working Papers 431, ECINEQ, Society for the Study of Economic Inequality.
    4. Koen Decancq, 2017. "Measuring Multidimensional Inequality in the OECD Member Countries with a Distribution-Sensitive Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 1057-1086, April.
    5. repec:kap:jecinq:v:16:y:2018:i:2:d:10.1007_s10888-018-9386-x is not listed on IDEAS
    6. Koen Decancq & Erik Schokkaert, 2016. "Beyond GDP: Using Equivalent Incomes to Measure Well-Being in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 21-55, March.
    7. Aaberge, Rolf & Atkinson, Anthony B. & Königs, Sebastian, 2018. "From Classes to Copulas: Wages, Capital, and Top Incomes," IZA Discussion Papers 11522, Institute for the Study of Labor (IZA).
    8. Koen Decancq & Marc Fleurbaey & Erik Schokkaert, 2017. "Wellbeing Inequality and Preference Heterogeneity," Economica, London School of Economics and Political Science, vol. 84(334), pages 210-238, April.
    9. 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.

    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • 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
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

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