Welfare rankings from multivariate data, a nonparametric approach

被引：16

作者：

Anderson, Gordon ^{[2
]}

Crawford, Ian ^{[1
]}

Leicester, Andrew

机构：

[1] Univ Oxford, Oxford OX1 2JD, England

[2] Univ Toronto, Toronto, ON M5S 1A1, Canada

来源：

JOURNAL OF PUBLIC ECONOMICS | 2011年 / 95卷 / 3-4期

关键词：

Welfare; Nonparametric methods;

D O I：

10.1016/j.jpubeco.2010.08.003

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：247 / 252

页数：6

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