G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Robust Multidimensional Welfare Comparisons: One Vector of Weights, One Vote
Stergios Athanassoglou
发表日期2013
出处Climate Change and Sustainable Development
出版年2013
语种英语
摘要Many aspects of social welfare are intrinsically multidimensional. Composite indices at-tempting to reduce this complexity to a unique measure abound in many areas of economics and public policy. Comparisons based on such measures depend, sometimes critically, on how the different dimensions of performance are weighted. Thus, a policy maker may wish to take into account imprecision over composite index weights in a systematic manner. In this paper, such weight imprecision is parameterized via the ε-contamination framework of Bayesian statistics. Subsequently, combining results from polyhedral geometry, social choice, and theoretical computer science, an analytical procedure is presented that yields a provably robust ranking of the relevant alternatives in the presence of weight imprecision. The main idea is to consider a vector of weights as a voter and a continuum of weights as an electorate. The procedure is illustrated on recent versions of the Rule of Law and Human Development indices.
特色分类C02;C61;D04;D71;I31
关键词Multidimensional Welfare Composite Index ε-Contamination Polyhedral Geometry Social Choice Approximation Algorithms
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/robust-multidimensional-welfare-comparisons-one-vector-of-weights-one-vote/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118178
推荐引用方式
GB/T 7714
Stergios Athanassoglou. Robust Multidimensional Welfare Comparisons: One Vector of Weights, One Vote. 2013.
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