Interval Based Composite Indicators

Carlo Drago

No 2017.42, Working Papers from Fondazione Eni Enrico Mattei

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.

Keywords: Composite Indicators; Interval Data; Robustness; Sensitivity Analysis; Uncertainty Analysis (search for similar items in EconPapers)
JEL-codes: C43 C81 C82 (search for similar items in EconPapers)
Date: 2017-09
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Working Paper: Interval Based Composite Indicators (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:fem:femwpa:2017.42

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