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来源类型 | FEEM working papers "Note di lavoro" series |
规范类型 | 论文 |
Interval Based Composite Indicators | |
Carlo Drago | |
发表日期 | 2017 |
出处 | Economic Theory |
出版年 | 2017 |
语种 | 英语 |
摘要 | Composite indicators are increasingly important in country comparisons and in policy making. At the same time, the robustness of the results obtained and in particular of the rankings and the conclusions obtained from the analysis it is usually accepted with doubts. In this sense our proposal is to use interval data in order to measure the uncertainty related to the different composite indicators based on the different assumptions used as input. In this sense where composite indicators can be considered as models, for this reason it could be necessary to assess the uncertainties related to the different choices in the construction. The uncertainty can be represented by the interval data. The intervals keep the information related to the initial value of the composite indicator, but at the same time give information on the range of the results. *** Suggested citation: Drago, C., (2017), 'Interval Based Composite Indicators', Nota di Lavoro 42.2017, Milan, Italy: Fondazione Eni Enrico Mattei |
特色分类 | C43;C81;C82 |
关键词 | Composite Indicators Interval Data Robustness Sensitivity Analysis Uncertainty Analysis |
URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/interval-based-composite-indicators/ |
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/118560 |
推荐引用方式 GB/T 7714 | Carlo Drago. Interval Based Composite Indicators. 2017. |
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cover-front2.jpg(61KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
ndl2017-042.pdf(370KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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