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Agent-based models: understanding the economy from the bottom up

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  • Turrell, Arthur

    (Bank of England)

Abstract

This article considers the strengths of agent-based modelling, which explains the behaviour of a system by simulating the behaviour of each individual ‘agent’ in it, and the ways that it can be used to help central banks understand the economy.

Suggested Citation

  • Turrell, Arthur, 2016. "Agent-based models: understanding the economy from the bottom up," Bank of England Quarterly Bulletin, Bank of England, vol. 56(4), pages 173-188.
    • Handle: RePEc:boe:qbullt:0207
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    File URL: https://www.bankofengland.co.uk/-/media/boe/files/quarterly-bulletin/2016/agent-based-models-understanding-the-economy-from-the-bottom-up.pdf?la=en&hash=66A41463EC6EBCDD4B040AA27A8DF7929387A5B6
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    Citations

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    Cited by:

    1. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    2. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    3. Onur YENİ & Zeynep YENER-GÖK & Özgür TEOMAN, 2020. "Irrigation Systems Transformation in Cotton Production in the Harran District, Turkey: Implications of an Agent-Based Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    4. Benjamin Patrick Evans & Sumitra Ganesh, 2024. "Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning," Papers 2402.00787, arXiv.org.
    5. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    6. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Alexey Ponomarenko & Andrey Sinyakov, 2018. "Impact of Banking Supervision Enhancement on Banking System Structure: Conclusions from Agent-Based Modeling," Russian Journal of Money and Finance, Bank of Russia, vol. 77(1), pages 26-50, March.
    8. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    9. V. A. Kryukov & D. V. Milyaev & D. I. Dushenin & A. D. Savel’eva & M. Yu. Skuzovatov, 2022. "Knowledge Generation in Raw Material Industries," Studies on Russian Economic Development, Springer, vol. 33(3), pages 257-266, June.
    10. Ponomarenko, Alexey A. & Ponomarenko, Alexey N., 2018. "What do aggregate saving rates (not) show?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-20.
    11. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    12. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    13. Luca Fontanelli, 2023. "Theories of market selection: a survey," LEM Papers Series 2023/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Christoph Aymanns & J. Doyne Farmer & Alissa M. Keinniejenhuis & Thom Wetzer, 2017. "Models of Financial Stability and their Application in Stress Tests," Working Papers on Finance 1805, University of St. Gallen, School of Finance.
    16. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    17. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    18. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
    19. Paul Jenkins, 2019. "Into the Unknown: Reflections on Risk, Uncertainty and Monetary Policy Decision-making," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 549, July.
    20. Karvik, Geir-Are & Noss, Joseph & Worlidge, Jack & Beale, Daniel, 2018. "The deeds of speed: an agent-based model of market liquidity and flash episodes," Bank of England working papers 743, Bank of England.
    21. Romain Plassard, 2020. "Making a Breach: The Incorporation of Agent-Based Models into the Bank of England's Toolkit," GREDEG Working Papers 2020-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    22. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    23. Alexey Ponomarenko & Andrey Sinyakov, 2017. "Impact of Banking Supervision Enhancement on Banking System Structure: Conclusions Delivered by Agent-Based Modelling," Bank of Russia Working Paper Series wps37, Bank of Russia.
    24. repec:hal:spmain:info:hdl:2441/2qdhj5485p93jrnf08s1meeap9 is not listed on IDEAS
    25. Hałaj, Grzegorz, 2020. "Resilience of Canadian banks to funding liquidity shocks," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).

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