Subject This article develops a methodology of assessment of quality of life of the population of the Central Federal District of the Russian Federation, taking into account the income distribution inequality within the period from 2008 till 2016. Objectives The article aims to select and substantiate the population welfare index of the region that takes into account statistical data on the level and differentiation of per capita monetary incomes. Methods For the study, we used Harrington's psycho-physical scaling, the methods of correlation, regression, and cluster analyses, applying the SPSS Statistics software package. Results The article proposes to assess the welfare of the region's population through the values of the desirability function formed on the basis of median values of per capita income. It introduces linear and power two-factor regression models explaining the dependence of median cash income on the arithmetic mean values of per capita monetary incomes and R/P 10% coefficient of funds reflecting their uneven distribution in the region. The article also ranks the Central Federal District regions according to the values of desirability partial and generalized functions. Conclusions The article shows that the income distribution inequality in the region can be accounted for in the two following ways: by median values of per capita cash incomes and the generalized Harrington's desirability function.
Keywords: quality of life, welfare measure, differentiation, monetary income, Central Federal District, multidimensional grouping
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