Title: A nonlinear multivariate method for constructing profiles of country performance

Authors: Sara Casacci; Adriano Pareto

Addresses: Italian National Institute of Statistics, Rome, Italy ' Italian National Institute of Statistics, Rome, Italy

Abstract: Composite indices for measuring multi-dimensional phenomena such as sustainable development, quality of life, and competitiveness, are based on individual indicators that have no common unit of measurement. As a rule, individual indicators are normalised by univariate methods, independently of each other. However, normalisation has a strong impact on results since it creates a 'correspondence system' among different variables. Thus the normalisation method should take into account the relationships existing in the data. In this paper, a nonlinear multivariate method is proposed for normalising a set of individual indicators in order to aggregate them into a composite index and construct profiles of country performance. An application to the measurement and analysis of socio-economic development is also shown.

Keywords: composite index; indicators; normalisation; nonlinear relationship.

DOI: 10.1504/IJMCDM.2021.120746

International Journal of Multicriteria Decision Making, 2021 Vol.8 No.4, pp.295 - 312

Received: 31 Mar 2021
Accepted: 04 Jun 2021

Published online: 07 Feb 2022 *

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