Eftonova, T., Kiran, M. and Stannett, M. orcid.org/0000-0002-2794-8614 (2017) Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling. International Journal of System Dynamics Applications, 6 (1). pp. 1-20. ISSN 2160-9772
Abstract
Agent-based economic modelling techniques are increasingly being used to complement standard economic simulations. This paper re-models a standard equation-based simulation model of the Russian macroeconomy in an agent-based setup, and uses it to investigate the effect that antimonopoly legislation can be expected to have upon long-term dynamic behaviour. The results reveal various potential outcomes which would have not been visible using traditional equation-based modelling techniques. While the number of economic agents has been kept deliberately small in the work presented here, the modelling approach is scalable to systems incorporating many millions of agents.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IGI Global. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 May 2017 09:34 |
Last Modified: | 29 Jun 2023 14:31 |
Status: | Published |
Publisher: | IGI Global |
Refereed: | Yes |
Identification Number: | 10.4018/IJSDA.2017010101 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116493 |