A nonlinear multivariate method for constructing profiles of country performance
by Sara Casacci; Adriano Pareto
International Journal of Multicriteria Decision Making (IJMCDM), Vol. 8, No. 4, 2021

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.

Online publication date: Mon, 07-Feb-2022

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