Welfare rankings from multivariate data, a nonparametric approach

• 成果类型: Article
• 署名作者: Anderson, Gordon; Crawford, Ian; Leicester, Andrew
• 署名单位: University of Oxford; University of Toronto
• 刊物名称: JOURNAL OF PUBLIC ECONOMICS
• ISSN/ISSBN: 0047-2727
• DOI: 10.1016/j.jpubeco.2010.08.003
• 发表日期: 2011
• 页码: 247-252
• 关键词: Welfare; nonparametric methods

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.