THE ESTIMATION OF POVERTY BASED ON THE MULTIVARIATE STATISTICAL ANALYSIS

Yashar Pasha

Резюме: The article provides general information on multidimensional poverty indicators, describes multidimensional poverty statistics, presents the factors affecting poverty. The focus is on the importance of the regression model in the analysis of multidimensional poverty. The article also reflects on the algorithm method used for measuring the poverty level deprivation in education, healthcare and living standards at individual level, together with practical application. The methodology for calculating multidimensional poverty index is presented by way of example.

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Дата на публикуване: 2018-03-09