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The Virtues and Vices of Equilibrium and the Future of Financial Economics

Author

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  • J. Doyne Farmer
  • John Geanakoplos

Abstract

The use of equilibrium models in economics springs from the desire for parsimonious models of economic phenomena that take human reasoning into account. This approach has been the cornerstone of modern economic theory. We explain why this is so, extolling the virtues of equilibrium theory; then we present a critique and describe why this approach is inherently limited, and why economics needs to move in new directions if it is to continue to make progress. We stress that this shouldn't be a question of dogma, but should be resolved empirically. There are situations where equilibrium models provide useful predictions and there are situations where they can never provide useful predictions. There are also many situations where the jury is still out, i.e., where so far they fail to provide a good description of the world, but where proper extensions might change this. Our goal is to convince the skeptics that equilibrium models can be useful, but also to make traditional economists more aware of the limitations of equilibrium models. We sketch some alternative approaches and discuss why they should play an important role in future research in economics.
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Suggested Citation

  • J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Levine's Working Paper Archive 122247000000002067, David K. Levine.
  • Handle: RePEc:cla:levarc:122247000000002067
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    Citations

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    Cited by:

    1. Boris Salazar Trujillo, 2013. "¿Crisis después de la crisis?: el estado de la macroeconomía financiera después de la crisis global," Documentos de Trabajo 11025, Universidad del Valle, CIDSE.
    2. Bell, William Paul, 2009. "Network Averaging: a technique for determining a proxy for the dynamics of networks," MPRA Paper 38026, University Library of Munich, Germany.
    3. Gaël Giraud & Nguenamadji Orntangar, 2011. "Monetary Policy under Finite Speed of Trades and Myopia," Documents de travail du Centre d'Economie de la Sorbonne 11011, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Lee Smolin, 2009. "Time and symmetry in models of economic markets," Papers 0902.4274, arXiv.org.
    5. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    6. Bell, William Paul & Zheng, Xuemei, 2018. "Inclusive growth and climate change adaptation and mitigation in Australia and China : Removing barriers to solving wicked problems," MPRA Paper 84509, University Library of Munich, Germany.
    7. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    8. Samuel E. Vazquez, 2009. "Scale Invariance, Bounded Rationality and Non-Equilibrium Economics," Papers 0902.3840, arXiv.org.
    9. Bell, William Paul, 2009. "Adaptive interactive expectations: dynamically modelling profit expectations," MPRA Paper 38260, University Library of Munich, Germany, revised 09 Feb 2010.
    10. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    11. Hawkins, Raymond J. & Aoki, Masanao & Roy Frieden, B., 2010. "Asymmetric information and macroeconomic dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3565-3571.
    12. Lotz, Aileen & Gosselin, Pierre, 2012. "A dynamic model of interactions between conscious and unconscious," MPRA Paper 36697, University Library of Munich, Germany.
    13. Libo Xu & Apostolos Serletis, 2019. "Communication frictions, sentiments, and nonlinear business cycles," International Journal of Economic Theory, The International Society for Economic Theory, vol. 15(2), pages 137-152, June.
    14. Simone Caschili & Francesca Medda & Francesco Parola & Claudio Ferrari, 2014. "An Analysis of Shipping Agreements: The Cooperative Container Network," Networks and Spatial Economics, Springer, vol. 14(3), pages 357-377, December.
    15. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    16. Cameli, Simone Amato, 2023. "A complexity economics framework for 21st-century industrial policy," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 168-178.

    More about this item

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • B0 - Schools of Economic Thought and Methodology - - General
    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • B50 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - General
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • D1 - Microeconomics - - Household Behavior
    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G - Financial Economics

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