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Welfare rankings from multivariate data, a nonparametric approach

Author

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  • Anderson, Gordon
  • Crawford, Ian
  • Leicester, Andrew

Abstract

Economic and social welfare is inherently multidimensional. However, choosing a measure which combines several indicators is difficult and may have unintendend and undesirable effects on the incentives of policy makers. We develop a nonparametric empirical method for deriving welfare rankings for a social planner based on data envelopment, which avoids the need to specify a weighting scheme. We apply this method to data on Human Development.

Suggested Citation

  • Anderson, Gordon & Crawford, Ian & Leicester, Andrew, 2011. "Welfare rankings from multivariate data, a nonparametric approach," Journal of Public Economics, Elsevier, vol. 95(3-4), pages 247-252, April.
    • Handle: RePEc:eee:pubeco:v:95:y:2011:i:3-4:p:247-252
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    Cited by:

    1. Argyris, Nikolaos & Østerdal, Lars Peter & Hussain, M. Azhar, 2025. "Value-driven multidimensional welfare analysis: A dominance approach with application to comparisons of European populations," European Journal of Operational Research, Elsevier, vol. 324(1), pages 200-220.
    2. Mathieu Lefebvre & Sergio Perelman & Pierre Pestieau, 2015. "Productivity and performance in the public sector," Working Papers of BETA 2015-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Athanassoglou, Stergios, 2013. "Robust Multidimensional Welfare Comparisons: One Vector of Weights, One Vote," Climate Change and Sustainable Development 150371, Fondazione Eni Enrico Mattei (FEEM).
    4. Stergios Athanassoglou, 2015. "Multidimensional welfare rankings under weight imprecision: a social choice perspective," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 44(4), pages 719-744, April.
    5. Schröder, Carsten & Bönke, Timm, 2012. "Country inequality rankings and conversion schemes," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-43.
    6. Athanassoglou, Stergios, "undated". "Revisiting Worst-case DEA for Composite Indicators," Climate Change and Sustainable Development 198712, Fondazione Eni Enrico Mattei (FEEM).
    7. Gordon Anderson & Teng Wah Leo, 2014. "Ranking Alternative Non-Combinable Prospects: A Stochastic Dominance Based Route to the Second Best Solution," Working Papers tecipa-520, University of Toronto, Department of Economics.
    8. Rogge, Nicky, 2018. "Composite indicators as generalized benefit-of-the-doubt weighted averages," European Journal of Operational Research, Elsevier, vol. 267(1), pages 381-392.
    9. Joanne Haddad & Jad Chaaban & Ali Chalak & Hala Ghattas, 2022. "Does Income Class Affect Life Satisfaction? New Evidence from Cross-Country Microdata," Social Sciences, MDPI, vol. 11(6), pages 1-23, June.
    10. Anderson, Gordon, 2011. "Polarization measurement and inference in many dimensions when subgroups can not be identified," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-19.
    11. Meital Izraelov & Jacques Silber, 2019. "An assessment of the global food security index," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1135-1152, October.
    12. Gordon Anderson & Oliver Linton & Teng Leo, 2012. "A polarization-cohesion perspective on cross-country convergence," Journal of Economic Growth, Springer, vol. 17(1), pages 49-69, March.
    13. Stergios Athanassoglou, 2016. "Revisiting Worst-Case DEA for Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1259-1272, September.
    14. Vrachimis Konstantinos & Zachariadis Marios, 2013. "A contribution to the empirics of welfare growth," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 213-244, April.
    15. Garcia-Diaz Rocio, 2013. "Poverty Orderings with Asymmetric Attributes," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 13(1), pages 347-361, June.
    16. Anderson, Gordon & Farcomeni, Alessio & Pittau, Maria Grazia & Zelli, Roberto, 2016. "A new approach to measuring and studying the characteristics of class membership: Examining poverty, inequality and polarization in urban China," Journal of Econometrics, Elsevier, vol. 191(2), pages 348-359.
    17. Amado, Carla A.F. & São José, José M.S. & Santos, Sérgio P., 2016. "Measuring active ageing: A Data Envelopment Analysis approach," European Journal of Operational Research, Elsevier, vol. 255(1), pages 207-223.
    18. Athanassoglou, Stergios, 2013. "Multidimensional welfare rankings," MPRA Paper 51642, University Library of Munich, Germany.
    19. Briec, Walter & Dumas, Audrey & Stenger, Agathe, 2013. "On the standard achievement and well-being indexes and their relation to the Hicks–Moorsteen productivity index," Economic Modelling, Elsevier, vol. 35(C), pages 900-909.

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    Keywords

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    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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