Welfare rankings from multivariate data, a nonparametric approach

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.

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Year of publication:	2011
Authors:	Anderson, Gordon ; Crawford, Ian ; Leicester, Andrew
Published in:	Journal of Public Economics. - Elsevier, ISSN 0047-2727. - Vol. 95.2011, 3-4, p. 247-252
Publisher:	Elsevier
Subject:	Welfare Nonparametric methods

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008869402