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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 |
URL | https://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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
2013531312361Nota_di(71KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
2013571458484NDL2013(1188KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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