Welfare rankings from multivariate data, a nonparametric approach
AbstractEconomic 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.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Public Economics.
Volume (Year): 95 (2011)
Issue (Month): 3-4 (April)
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Web page: http://www.elsevier.com/locate/inca/505578
Welfare Nonparametric methods;
Other versions of this item:
- Anderson, Gordon & Crawford, Ian & Leicester, Andrew, 2011. "Welfare rankings from multivariate data, a nonparametric approach," Journal of Public Economics, Elsevier, vol. 95(3), pages 247-252.
- Gordon Anderson & Ian Crawford & Andrew Leicester, 2010. "Welfare Rankings From Multivariate Data, A Non-Parametric Approach," Working Papers tecipa-386, University of Toronto, Department of Economics.
- I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
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- Davidson, R. & Duclos, J.-Y., 1998.
"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,"
98a14, Universite Aix-Marseille III.
- Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
- Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
- Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-97, July.
- A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," Journal of Economic Inequality, Springer, vol. 1(1), pages 51-65, April.
- Kolm, Serge-Christophe, 1977. "Multidimensional Egalitarianisms," The Quarterly Journal of Economics, MIT Press, vol. 91(1), pages 1-13, February.
- François Bourguignon & Satya Chakravarty, 2003.
"The Measurement of Multidimensional Poverty,"
Journal of Economic Inequality,
Springer, vol. 1(1), pages 25-49, April.
- Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, April.
- Xavier Ramos & Jacques Silber, 2005. "On The Application Of Efficiency Analysis To The Study Of The Dimensions Of Human Development ," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(2), pages 285-309, 06.
- Deaton, Angus, 1979. "The Distance Function in Consumer Behaviour with Applications to Index Numbers and Optimal Taxation," Review of Economic Studies, Wiley Blackwell, vol. 46(3), pages 391-405, July.
- Stergios Athanassoglou, 2013. "Robust Multidimensional Welfare Comparisons: One Vector of Weights, One Vote," Working Papers 2013.40, Fondazione Eni Enrico Mattei.
- Schröder, Carsten & Bönke, Timm, 2012.
"Country inequality rankings and conversion schemes,"
Economics - The Open-Access, Open-Assessment E-Journal,
Kiel Institute for the World Economy, vol. 6(28), pages 1-43.
- Timm Bönke & Carsten Schröder, 2010. "Country Inequality Rankings and Conversion Schemes," Discussion Papers of DIW Berlin 1068, DIW Berlin, German Institute for Economic Research.
- Schröder, Carsten & Bönke, Timm, 2012. "Country inequality rankings and conversion schemes," Economics Discussion Papers 2012-7, Kiel Institute for the World Economy.
- Athanassoglou, Stergios, 2013. "Multidimensional welfare rankings," MPRA Paper 51642, University Library of Munich, Germany.
- 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.
- Anderson, Gordon, 2011. "Polarization measurement and inference in many dimensions when subgroups can not be identified," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 5(11), pages 1-19.
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