Forecasting of the main indicators of the development of the Russian economy for the period up to 2033 according to Rosstat data for 2002-2023 using the delayed regression method

Authors

  • Maria Petukhova St. Petersburg State University of Economics

Keywords:

regression, regression with shifted factors, mirror regression, correlation, coefficient of determination, multiple regression, forecast, trend, financial activity, economics

Abstract

According to Rosstat data for 2002-2023 on the dynamics of gross output, value added, fixed assets, number and salary for financial activities of the Russian Federation, forecasts were made for 3 types of regression (autoregression, reflexive regression, multiple reflexive regression). As a result, the most plausible forecast scenarios up to 2028 were obtained, which allowed us to draw a general conclusion about the prospects for development.

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Published

2024-07-01

Issue

No. 2 (2024): Journal "U". Economy. Management. Finance. 2/2024

Section

Research Works in Economics and Management

License

Copyright (c) 2024 "Journal "U". Economy. Management. Finance."

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Forecasting of the main indicators of the development of the Russian economy for the period up to 2033 according to Rosstat data for 2002-2023 using the delayed regression method. (2024). "Journal "U". Economy. Management. Finance.", 2, 86-96. https://portal-u.ru/index.php/journal/article/view/989