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What If We Voted On The Weights Of A Multidimensional Well-Being Index? An Illustration With Flemish Data

Author

Listed:
  • K. DECANCQ
  • L. VAN OOTEGEM
  • E. VERHOFSTADT
Abstract
There is a widespread consensus that well-being is a multidimensional notion. To quantify multidimensional well-being, information on the relative weights of the different dimensions is essential. There is, however, considerable disagreement in the literature on the most appropriate weighting scheme to be used. Making use of a recent data set for Flanders, we compare various methods to select a weighting scheme. The results are indeed different such that, for instance, a policymaker would identify different groups of individuals as being worst-off depending on the scheme that is chosen. In order to compare and evaluate the weighting schemes, we simulate the support each scheme would get in a hypothetical voting procedure. Weighting schemes that obtain a higher support reflect better the priorities of the respondents themselves and suffer less from the problem of paternalism. Quite remarkably, the popular equal weighting scheme is found to be the least supported in our data set.

Suggested Citation

  • K. Decancq & L. Van Ootegem & E. Verhofstadt, 2011. "What If We Voted On The Weights Of A Multidimensional Well-Being Index? An Illustration With Flemish Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/762, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:11/762
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    Cited by:

    1. Bart Defloor & Elsy Verhofstadt & Luc Van Ootegem, 2017. "The Influence of Preference Information on Equivalent Income," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 489-507, March.
    2. Kateryna Tkach & Chiara Gigliarano, 2022. "Multidimensional Poverty Index with Dependence-Based Weights," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 843-872, June.
    3. Datt,Gaurav, 2017. "Multidimensional poverty in the Philippines, 2004-13 : do choices for weighting, identification and aggregation matter ?," Policy Research Working Paper Series 8099, The World Bank.
    4. Giuseppe Coco & Raffaele Lagravinese & Giuliano Resce, 2020. "Beyond the weights: a multicriteria approach to evaluate inequality in education," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 469-489, December.
    5. 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.
    6. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    7. Koen Decancq & Luc Van Ootegem & Elsy Verhofstadt, 2013. "What If We Voted on the Weights of a Multidimensional Well‐Being Index? An Illustration with Flemish Data," Fiscal Studies, Institute for Fiscal Studies, vol. 34, pages 315-332, September.
    8. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Discussion Papers 792, Statistics Norway, Research Department.
    9. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    10. Aleksandar Stanojević & Jože Benčina, 2019. "The Construction of an Integrated and Transparent Index of Wellbeing," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 995-1015, June.
    11. 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.
    12. Poppitz, Philipp, 2017. "Can subjective data improve inequality measurement? A multidimensional index of economic inequality," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168252, Verein für Socialpolitik / German Economic Association.
    13. Lucio Esposito & Enrica Chiappero‐Martinetti, 2019. "Eliciting, Applying And Exploring Multidimensional Welfare Weights: Evidence From The Field," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 204-227, November.
    14. Daniel J. Benjamin & Ori Heffetz & Miles S. Kimball & Nichole Szembrot, 2014. "Beyond Happiness and Satisfaction: Toward Well-Being Indices Based on Stated Preference," American Economic Review, American Economic Association, vol. 104(9), pages 2698-2735, September.
    15. Andreas Peichl & Nico Pestel, 2013. "Multidimensional Well‐Being at the Top: Evidence for Germany," Fiscal Studies, Institute for Fiscal Studies, vol. 34, pages 355-371, September.
    16. Philipp Poppitz, 2019. "Can Subjective Data Improve the Measurement of Inequality? A Multidimensional Index of Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 511-531, December.
    17. Arnaud Joskin, 2017. "Working Paper 04-17 - Qu’est-ce qui compte pour les Belges ? Analyse des déterminants du bien-être individuel en Belgique [Working Paper 04-17 - Wat telt voor de Belgen? Analyse van de determinante," Working Papers 1704, Federal Planning Bureau, Belgium.
    18. Dongare, Ashish, 2023. "Multidimensional tool for assessment of social protection framework - a life cycle approach: conceptualisation, construction and comparison," LSE Research Online Documents on Economics 120019, London School of Economics and Political Science, LSE Library.
    19. Gaurav Datt, 2019. "Multidimensional poverty in the Philippines, 2004–2013: How much do choices for weighting, identification and aggregation matter?," Empirical Economics, Springer, vol. 57(4), pages 1103-1128, October.
    20. Philipp Poppitz, 2016. "Does self-perceptions and income inequality match?," IMK Working Paper 173-2016, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    21. Haya Al-Ajlani & Luc Ootegem & Elsy Verhofstadt, 2020. "Does Well-Being Vary with an Individual-Specific Weighting Scheme?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(5), pages 1285-1302, November.
    22. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.

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    More about this item

    Keywords

    Multidimensional well-being; weighting schemes; equal weights; voting.;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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