Digital twins and their application in the economy
Abstract and keywords
Abstract (English):
Mathematical modeling helps economists understand complex processes. It allows them to predict how the economy will evolve and find the best management solutions. The article examines key approaches to constructing mathematical models in economics, including optimization, econometric, and simulation methods. Examples of their application at micro- and macroeconomic levels are provided, such as the Cobb-Douglas production function, the Solow economic growth model, and the Black-Scholes option pricing model. Special attention is paid to modern trends in economic-mathematical modeling related to the use of big data and machine learning.

Keywords:
mathematical modeling, economics, optimization, econometrics, simulation models, microeconomics, macroeconomics
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References

1. Ashmanov S. A. Matematicheskie modeli i metody v ekonomike. - M.: Izd-vo MGU, 2018.

2. Zamkov O. O., Tolstopyatenko A. V., Cheremnyh Yu. N. Matematicheskie metody v ekonomike. - M.: Delo i Servis, 2019.

3. Nureev R. M. Ekonometrika: nachal'nyy kurs. - M.: INFRA-M, 2021.

4. Orlova I. V. Ekonomiko-matematicheskoe modelirovanie. - M.: Vuzovskiy uchebnik, 2017.

5. Magnus Ya. R., Katyshev P. K., Pereseckiy A. A. Ekonometrika. Nachal'nyy kurs. - M.: Delo, 2018.

6. Smirnov A. V. Sovremennye metody ekonomiko-matematicheskogo modelirovaniya. - SPb: Piter, 2021.

7. Safonova A. V., Sushko A.V., Kirichenko A. O. Primenenie metodov modelirovaniya v ekonomicheskih issledovaniyah// Journal of Monetary Economics and Management. - 2024.- № 6.- S.180-184

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