REGRESSION MODEL OF DEPENDENCE OF RUSSIAN REGIONS TAXES FROM LEVEL GROSS REGIONAL PRODUCT
The article investigates the macroeconomic aspects of the analysis of income tax revenues of regions of the Russian Federation on the basis of econometric modeling. Currently, the development of the tax system of the Russian Federation, in addition to a positive trend characterized by uneven distribution of tax potential in the regions. Because we can talk about the different contribution of individual territorial entities in the formation of budget revenues. The basis of the tax system constitute the dynamics of macroeconomic factors. A generalized indicator is the volume of gross regional product in the regions. Regression models depending on the tax revenue from gross regional product are built in all regions by federal districts. The method of regression analysis. Built regression tested depending on the adequacy and possess relevant statistical characteristics (the significance of the regression coefficients, adjusted coefficient of determination, etc.) To predict in the short term. The use of models will identify the main trends in the dynamics of indicators of tax revenues of Russian regions and plan for the solution of key macroeconomic objectives.