Welfare rankings from multivariate data, a nonparametric approach

Gordon Anderson, Ian Crawford and Andrew Leicester ()

Journal of Public Economics, 2011, vol. 95, issue 3-4, 247-252

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.

Keywords: Welfare; Nonparametric; methods (search for similar items in EconPapers)
Date: 2011
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Journal Article: Welfare rankings from multivariate data, a nonparametric approach (2011)
Working Paper: Welfare Rankings From Multivariate Data, A Non-Parametric Approach (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:pubeco:v:95:y:2011:i:3-4:p:247-252

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