Composite Indices Construction: The Performance Interval Approach

Matteo Mazziotta () and Adriano Pareto ()
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Matteo Mazziotta: Italian National Institute of Statistics
Adriano Pareto: Italian National Institute of Statistics

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2022, vol. 161, issue 2, No 9, 551 pages

Abstract: Abstract In the last years, there has been a growing interest in composite indices, whether they be social, socio-economic or environmental indices. In this paper, we propose a new approach to the composite indices construction which consists in computing an interval of possible values, for each statistical unit, rather than a single value. The interval is called ‘performance interval’ and it is constructed depending on the level of compensability of individual indicators. As an example of application, we considered a set of indicators of well-being in Italy and we constructed the performance intervals for the Italian Regions. Finally, we compared the midpoint of the performance intervals with the geometric mean, a classic partially compensatory aggregation function.

Keywords: Data aggregation; Full-compensability; Non-compensability (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11205-020-02336-5

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