from 01.01.1993 to 01.01.2019
Siberian Federal University (Chair of Digital Financial Technologies of Sberbank of Russia, Associate professor)
from 01.01.2007 until now
Krasnoyarsk, Krasnoyarsk, Russian Federation
VAK Russia 5.2.3
VAK Russia 5.2.4
VAK Russia 5.2.5
VAK Russia 5.2.6
VAK Russia 5.2.7
UDC 338.27
UDC 336.2
The methods of forecasting used today in practice do not allow taking into account the influence of many external factors affecting the amount of tax revenue to the budget. This reduces the accuracy of forecasts. The article develops and tests a combined approach to forecasting tax revenue for the budget of a constituent entity of the Russian Federation. The approach integrates econometric methods for time series analysis and an expert assessment procedure. This minimizes systematic errors inherent in quantitative or qualitative methods.
budget revenues, regional budget, revenue forecasting, revenue modeling, tax revenues
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