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Large-Scale Modeling of Economic Systems

Author

Listed:
  • Holcombe, Mike
  • Coakley, Simon
  • Kiran, Mariam
  • Chin, Shawn
  • Greenough, Chris
  • Worth, David
  • Cincotti, Silvano
  • Raberto, M.
  • Teglio, Andrea
  • Deissenberg, Christophe
  • Hoog, Sander van der
  • Dawid, Herbert
  • Gemkow, Simon
  • Harting, Philipp
  • Neugart, Michael

Abstract

Following the events of the credit crunch and the onset of a global recession, alternative ways of modeling modern economies and mechanisms for carrying out policy analysis are now an urgent priority. Traditional mathematical economics is widely viewed to have been compromised through gross simplifications with many assumptions that are now seen to be unjustified. New ways of looking at economics that are more grounded in reality are required, and agent-based computational economics is now receiving a lot of attention. Although the ideas are not new, the previous attempts to use this approach have been largely limited by the inability to model realistically large systems with millions of complex agents. Without this capability, the usefulness of the approach is limited. The EU-STREP project EURACE brought together a consortium of leading economists, experts in parallel supercomputing, and the designers of the FLAME framework to build the largest and most complete model of the European Union economy ever built.

Suggested Citation

  • Holcombe, Mike & Coakley, Simon & Kiran, Mariam & Chin, Shawn & Greenough, Chris & Worth, David & Cincotti, Silvano & Raberto, M. & Teglio, Andrea & Deissenberg, Christophe & Hoog, Sander van der & Da, 2024. "Large-Scale Modeling of Economic Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 149717, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:149717
    DOI: 10.25088/ComplexSystems.22.2.175
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/149717/
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    Cited by:

    1. Bence Mérõ, 2019. "Novel Modelling of the Operation of the Financial Intermediary System – Agent-based Macro Models," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 83-113.
    2. repec:spo:wpmain:info:hdl:2441/5fafm6me7k8omq5jbo61urqq27 is not listed on IDEAS
    3. Silvano Cincotti, 2021. "Facing the complexity of the economy: an opportunity for the new alliance between economics and engineering," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(4), pages 581-588, December.
    4. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 281-324, August.
    5. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    6. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    7. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    8. repec:hal:spmain:info:hdl:2441/5fafm6me7k8omq5jbo61urqq27 is not listed on IDEAS
    9. Alessandro Caiani & Ermanno Catullo, 2023. "Fiscal Transfers and Common Debt in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model," LEM Papers Series 2023/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

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