CONSTRUCTION OF REGRESSION MODELS FOR THE RATES OF INDICATIVE PRICES AND THE VALUE OF EXPORT DUTIES ON CEREALS

UDC 516 + 517
DOI: 10.36871/2618-9976.2023.12.002

Authors

Ekaterina A. Zakrevskaya,
Candidate of Economic Sciences, Associate Professor of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia
Olga A. Sviridova,
Candidate of Economic Sciences, Associate Professor of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics; Associate Professor of the Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow, Russia
Varvara M. Domolyutchenkova,
Postgraduate Student of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia

Abstract

The article is devoted to the problem of modeling and forecasting the value of export duties on grain crops. The influence of factors on the indicative prices of grain crops, and, consequently, on the value of export duties on wheat, corn and barley, is considered. Correlation dependencies were identified using Python. Regression models for indicative prices for three crops are constructed.

Keywords

Export duty, Grain crop, Indicative price, Modeling, Regression model