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Computationally Intensive Analyses in Economics

In: Handbook of Computational Economics

Author

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  • Judd, Kenneth L.

Abstract

Computer technology presents economists with new tools, but also raises novel methodological issues. This essay discusses the challenges faced by computational researchers, and proposes some solutions.

Suggested Citation

  • Judd, Kenneth L., 2006. "Computationally Intensive Analyses in Economics," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 17, pages 881-893, Elsevier.
    • Handle: RePEc:eee:hecchp:2-17
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    Citations

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    Cited by:

    1. Ad. J. W. van de Gevel & Charles N. Noussair, 2013. "The Nexus between Artificial Intelligence and Economics," SpringerBriefs in Economics, Springer, edition 127, number 978-3-642-33648-5, June.
    2. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201702180800001022, Iowa State University, Department of Economics.
    3. Olivier Brandouy & Philippe Mathieu & Iryna Veryzhenko, 2012. "Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis," Post-Print halshs-02048765, HAL.
    4. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    5. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    6. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling and Macroeconomics," ISU General Staff Papers 200601010800001585, Iowa State University, Department of Economics.
    7. Robi Ragan, 2015. "Computational social choice," Chapters, in: Jac C. Heckelman & Nicholas R. Miller (ed.), Handbook of Social Choice and Voting, chapter 5, pages 67-80, Edward Elgar Publishing.
    8. Jonathan F. Cogliano & Roberto Veneziani & Naoki Yoshihara, 2022. "Computational methods and classical‐Marxian economics," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 310-349, April.
    9. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1795-1825, October.
    10. Leigh Tesfatsion, 2017. "Modeling economic systems as locally-constructive sequential games," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(4), pages 384-409, October.
    11. Olivier Brandouy & Philippe Mathieu & Iryna Veryzhenko, 2012. "Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 91-102, Springer.
    12. Olivier Brandouy & Philippe Mathieu & Iryna Veryzhenko, 2012. "Risk Aversion Impact on Investment Strategy Performance: A Multi Agent-Based Analysis," Post-Print hal-00826144, HAL.
    13. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    14. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    15. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    16. Marcelo De Oliveira Passos & Jean Rodrigues Venecian, 2016. "A Multi-Agent Computational Model For Brazilian Stock Market: The "Gap Value" Channel Of Monetary Policy Transmission Mechanism," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 044, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201704300700001022, Iowa State University, Department of Economics.
    18. Iryna Veryzhenko, 2021. "Who gains and who loses on stock markets? Risk preferences and timing matter," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(2), pages 143-155, April.
    19. Chiba, Asako, 2020. "Modeling the effects of contact-tracing apps on the spread of the coronavirus disease: mechanisms, conditions, and efficiency," MPRA Paper 103299, University Library of Munich, Germany.
    20. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201703280700001022, Iowa State University, Department of Economics.

    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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