Leontief dynamic model with nonlinear predictors for the gross domestic product of Russia

Abstract

Leontief dynamic model with nonlinear predictors for the gross domestic product of Russia

Noskov S.I., Ovsyannikov I.V., Medvedev A.P.

Incoming article date: 06.05.2024

The paper presents an ordinary and dynamic piecewise linear Leontief model with nonlinear predictors for the gross domestic product of Russia. The following variables are used as independent variables: the number of able-bodied population, retail trade turnover, and capital investment. In the right part of the model, along with the current value of investment volume, its lagged values with a lag of one and two years are included. The average relative error of approximation of each model and the values of the vector of triggers of independent variables were calculated.

Keywords: Leontief model, nonlinear predictors, gross domestic product, least modulus method, average relative approximation error, vector of triggers, linear-Boolean programming problem