Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices

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, 2018, vol. 136, issue 3, No 6, 967-976

Abstract: Abstract Most of the socio-economic phenomena such as development, well-being, and quality of life have a multidimensional nature and require the definition of a set of individual indicators to be properly assessed. Often, individual indicators are summarized and a composite index is created. One of the main problems in constructing composite indices is the choice of a method which allows time comparisons. In this paper, we consider the Adjusted Mazziotta–Pareto Index, a non-compensatory composite index used by the Italian National Institute of Statistics for measuring “Equitable and Sustainable Well-being” in Italy. An empirical comparison with some traditional non-compensatory indices is presented and an Influence Analysis is, for the first time, performed in order to assess the robustness of the index.

Keywords: Multidimensional data analysis; Composite index; Ranking; Non-compensability (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (35)

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DOI: 10.1007/s11205-017-1577-5

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