Financial Block in an Agent-Based Model of the Russian Economy
https://doi.org/10.25205/2542-0429-2024-24-4-46-76
Abstract
The article discusses development of the financial block in an agent-based multiregional inter-sectoral input-output model of the Russian economy. The model now includes a unified commercial bank and the Central Bank as agents. Behavioral algorithms were created for non-bank agents to govern fund flows, fund management, and other financial activities. The experiments confirmed that the model expanded in this way accurately enough reflects the behavior of economic agents in the financial sphere. The additions to the model will make it possible to study the dynamic processes associated with lending to the economy and to evaluate the consequences of certain monetary policy measures. An open issue remains on how to introduce into the model elements that would enable representing cost-push inflation.
Keywords
About the Authors
A. V. IvershinRussian Federation
Student of the Faculty of Economics
WOS Research ID: AAZ-5261-2021
Novosibirsk
A. A. Tsyplakov
Russian Federation
Alexander A. Tsyplakov, Candidate of Sciences (Economics), Associate Professor
Scopus AuthorlD: 57192156252
Novosibirsk
References
1. Suslov V. I., Domozhirov D. A., Ibragimov N. M., Kostin V. S., Melnikova L. V., Tsyplakov A. A. Agent-Based Multiregional Input-Output Model of the Russian Economy. Economics and Mathematical Methods, 2016, vol. 52, no. 1, pp. 112— 131. (inRuss.)
2. Novikova T. S., Tsyplakov A. A. Social Policy Development Based on a Combination of Agent-Based and Inter-Industry Approaches. Journal of the New Economic Association, 2021, vol. 4, no. 52, pp. 12-36. (inRuss.)
3. Farmer J. D., Foley D. The economy needs agent-based modelling // Science. 2009. Vol. 460. P. 685-686. DOI: 10.1038/460685a
4. Fagiolo G., Roventini A. Macroeconomic policy inDSGE and agent-based models redux: new developments and challenges ahead. Journal of Artificial Societies and Social Simulation, 2017, vol. 20 (1), 37 pp. DOI: 10.18564/jasss.3280 URL: https://www.jasss.Org/20/l/l.html
5. Gilbert N., Terna P. How to build and use agent-based models in social science. Mind & Society, 2000,vol. 1, pp. 57-72. DOI: 10.1007/BF02512229
6. Poledna S., Miess M. G., Hommes C., Rabitsch K. Economic forecasting with an agent-based model. European EconomicReview, 2023, vol. 151, p. 104306.
7. Ponomarenko A., Sinyakov A. Impact of Banking Supervision Enhancement on Banking System Structure: Conclusions from Agent-Based Modeling. Russian Journal ofMoney and Finance, 2018, vol. 77, no. 1, pp. 26-50. (in Russ.)
8. Haldane A. G., Turrell A. E. Drawing on different disciplines: macroeconomic agent-based models. Journal of Evolutionary Economics, 2019, vol. 29, pp. 39-66. DOI: 10.1007/S00191-018-0557-5
9. Chan-Lau J. A. ABBA: An agent-based model of the banking system. IMF Working Papers 2017/136. International Monetary Fund, 2017. 33 p.
10. Khabibullin R., Ponomarenko A., Seleznev S. Forecasting the implications of foreign exchange reserve accumulation with a microsimulation model. Journal of Simulation, 2022, vol. 16, pp. 298-311. DOI: 10.1080/17477778.2020.1813641 (in Russ.)
11. Leonidov A. V., Nechitaylo V. A., Serebryannikova E. E. Topology of the interbank lending network in the agent-based model of the banking system. HSE EconomicJournal, 2018, vol. 22, № 3, pp. 387-417. (inRuss.)
12. Dawid H., Gemkow S., Harting P., van der Hoog S., Neugart M. Eurace@Unibi Model vl.O User manual. Bielefeld University Working Paper. 2011. 167 p.
13. Ivershin A. V. Approaches to Accounting for the Financial Sector in Agent-Based modeling. World of Economics and Management, 2022, vol. 22, no. 4, pp. 42-59. DOI 10.25205/2542-0429-2022-22-4-42-59. (inRuss.)
14. Dawid H., Delli Gatti D. Agent-based macroeconomics. In: Hommes C., LeBaron B. (eds.) Handbook ofcomputational economics, vol 4. Elsevier, New York, 2018, pp. 63-156.
15. Steinbacher M., Raddant M., Karimi F., Cuena E.C., Alfarano S., Iori G., Lux T. Advances in the agent-based modeling of economic and social behavior. SNBusiness & Economics, 2021, vol. 1(7), pp. 1-99.
16. The Central Bank of the Russian Federation. Guidelines for the Single State Monetary Policy in 2015 and for 2016 and 2017, CBRF 2014, 45 p. URL: https://www.cbr.ru/Content/Document/File/48480/on_15-eng.pdf
17. Eskindarov М. A., Maslennikov V. V., Abramova М. A., et al. Sovremennaya arhitektura finansov Rossii [Modem Architecture of Finance in Russia]. Moscow, Kogito-Tsentr, 2020, 488 p. (inRuss.)
18. Novikova T. S., Tsyplakov A. A. Social Policy in a Multi-Regional Agent-Based Model. Economic and Social Changes: Facts, Trends, Forecast, 2020, vol. 13, no. 3, pp. 129-142. (inRuss.)
19. Domozhirov D. A., Ibragimov N. M., Melnikova L. V., Tsyplakov A. A. Integration of Input - OutputApproach into Agent-Based Modeling: Methodological Principles. World ofEconomics andManagement, 2017, vol. 17, no. 1, pp. 86-99. (inRuss.)
Review
For citations:
Ivershin A.V., Tsyplakov A.A. Financial Block in an Agent-Based Model of the Russian Economy. World of Economics and Management. 2024;24(4):46-76. (In Russ.) https://doi.org/10.25205/2542-0429-2024-24-4-46-76