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Reference:
Chesnokova L.A., Yashina N.I., Kravchenko V.S.
Developing Factor Models of VAT Revenues in the Federal Budget
// Taxes and Taxation.
2016. ¹ 7.
P. 504-509.
URL: https://en.nbpublish.com/library_read_article.php?id=67954
Chesnokova L.A., Yashina N.I., Kravchenko V.S. Developing Factor Models of VAT Revenues in the Federal BudgetAbstract: The subject of the research is the value added tax revenues in the federal budget of the Russian Federation. This tax is received only at one budget level, thereat particular regions become the source of the taxation base. The purpose of the research is to relate socio-economic indicators of regions to amounts of VAT revenues for a particular constituent. To achieve this goal, the authors of the research make mathematical models of VAT revenues depending on the tax potential and elements of the tax. Nizhni Novgorod Region has been chosen as an example to draw one-factor models based on the analysis of the Federal Tax Service and Rosstat data. The scientific novelty of the research is caused by the fact that the authors have performed mathematical selection of the most important factors to be used in regression equations of VAT revenues in the federal budget. As a result of the research, the authors suggest that we should use six important factors that have the greatest influence on the development of VAT revenues. Keywords: simple regression, correlation, federal budget, tax revenues, sign factor, econometric forecasting, factor model, value added tax, modeling of budget incomes
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