A DISCRIMINANT ANALYSIS TO THE QUANTIFICATION OF HUMAN DEVELOPMENT INDEX UNDER ECONOMIC INEQUALITY

Irina Georgescu, Ane-Mari Androniceanu and Jani Kinnunen

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, 2020, vol. 14, issue 1, 1053-1062

Abstract: This paper is concerned with a quantitative approach to the determinants of human development index, namely GDP per capita, Net Income GINI index, Wealth GINI index and poverty rate. For year 2018 and 98 world countries we apply multiple discriminant analysis to predict four classes of human development index. The discriminant analysis achieved 83.7% accuracy for the discriminant model with unequal apriori probabilities. One conclusion of the model is that GDP per capita has no discriminating power in the model, overall. Another conclusion is that from three discriminant functions retained, the first one discriminates best.

Keywords: discriminant analysis; human development index; poverty rate. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:rom:mancon:v:14:y:2020:i:1:p:1053-1062

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