Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/177236 
Authors: 
Year of Publication: 
2017
Series/Report no.: 
Working Paper No. 042.2017
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
Abstract: 
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.
Subjects: 
Composite Indicators
Interval Data
Robustness
Sensitivity Analysis
Uncertainty Analysis
JEL: 
C43
C81
C82
Document Type: 
Working Paper

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