Search

The paper aims at the studying of the planning and forecasting process, as well as the formation of a dynamic model of customs revenues to the state budget (on the example of Ukraine). The methodology of the regression data analysis was used to assess the receipt of customs payments to the budget. The parameters of the regression models are selected by the least squares method. To assess the significance of the regression parameters, their variances and the covariance matrix, the diagonal elements of which are the variance parameters, are calculated. Along with the linear and power model, the Brandon model is considered. The adequacy of the model for forecasting customs revenues was assessed using the coefficient of determination. [ABSTRACT FROM AUTHOR]