STATISTICAL ANALYSIS AND FORECASTING OF POPULATION INCOMES IN RUSSIAN FEDERATION
Objective: is to conduct analysis and forecasting of population incomes in Russian Federation implementing statistical tools till 2018.Methods: the article presents results on comprehensive research of population income for the period 2010- 2015. The analysis of structure and dynamics of population incomes in Russian Federation is conducted; Russian regions classification by the incomes level is carried out using cluster analysis; forecasting till 2018 by the trend model, multi-factor model and within clusters is performed.Results: three groups of Russian regions by the level of income were obtained according to the performed classification by the cluster analysis method; forecasting by the trend equation is carried out, and possible values of income with existing tendencies for 2016-2018 are calculated. Multiple regression analysis and forecasting by fixed factors values is conducted for analyzing the interrelation between income, expenses and key macroeconomic indicators. The article presents results of population incomes forecasting within the obtained clusters according to the multiple regression equations.Scientific novelty: the authors have revealed projected values of incomes level in Russian Federation generally and partly on the basis of statistical models. Practical relevance: conceptual issues and paper's outputs can be used in scientific and educational work while considering issues of social statistics.