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Complex Economic Dynamics: Obvious in History, Generic in Theory, Elusive in Data

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  • Day, R H

Abstract

The capacity of nonlinear dynamic models to mimic qualitative features of economic data is illustrated with an adaptive version of the neoclassical growth theory. Implications for econometric methodology are discussed, emphasizing structural estimation and qualitative inference. Copyright 1992 by John Wiley & Sons, Ltd.

Suggested Citation

  • Day, R H, 1992. "Complex Economic Dynamics: Obvious in History, Generic in Theory, Elusive in Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 9-23, Suppl. De.
    • Handle: RePEc:jae:japmet:v:7:y:1992:i:s:p:s9-23
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    Cited by:

    1. Teglio, Andrea & Catalano, Michele & Petrovic, Marko, 2014. "Myopic households on a stable path: the neoclassical growth model with rule-based expectations," MPRA Paper 120253, University Library of Munich, Germany.
    2. Jalan, Jyotsna & Ravallion, Martin, 2001. "Household income dynamics in rural China," Policy Research Working Paper Series 2706, The World Bank.
    3. Rodríguez, Mª Araceli, 2005. "Nueva Evidencia Empírica sobre las Turbulencias Cambiarias de la Peseta Española. 1989-1998/New Evidence about Turbulences on the Spanish Peseta. 1989-1998s," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 23, pages 207-230, Abril.
    4. Artem Prokhorov, 2008. "Nonlinear dynamics and chaos theory in economics: a historical perspective (in Russian)," Quantile, Quantile, issue 4, pages 79-92, March.
    5. Borusyak, K., 2011. "Nonlinear Dynamics of the Russian Stock Market in Problems of Risk Management," Journal of the New Economic Association, New Economic Association, issue 11, pages 85-105.
    6. Dominique Guegan, 2007. "Chaos in economics and finance," Documents de travail du Centre d'Economie de la Sorbonne b07054, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2009.
    7. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.
    8. Martin Ravallion, 2012. "Why Don't We See Poverty Convergence?," American Economic Review, American Economic Association, vol. 102(1), pages 504-523, February.
    9. Peiyuan Zhu & Carl Chiarella & Tony He, 2003. "Fading Memory Learning in the Cobweb Model with Risk Averse Heterogeneous Producers," Computing in Economics and Finance 2003 31, Society for Computational Economics.
    10. Boussard, Jean-Marc, 1996. "When risk generates chaos," Journal of Economic Behavior & Organization, Elsevier, vol. 29(3), pages 433-446, May.
    11. Alexeeva, Tatyana A. & Barnett, William A. & Kuznetsov, Nikolay V. & Mokaev, Timur N., 2020. "Dynamics of the Shapovalov mid-size firm model," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    12. João Paulo Martin Faleiros & Denisard Cnéio de Oliveira Alves, 2006. "Não Linearidade Nos Ciclos De Negócios: Modelo Auto-Regressivo “Smooth Transition” Para O Índice Geral De Produção Industrial Brasileiro E Bens De Capital," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 10, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Yang Hu & Guangping Hu, 2023. "Stabilization and Chaos Control of an Economic Model via a Time-Delayed Feedback Scheme," Mathematics, MDPI, vol. 11(13), pages 1-13, July.
    14. Dominique Guegan, 2009. "Chaos in economics and finance," Post-Print halshs-00187885, HAL.
    15. Dominique Guegan, 2009. "Chaos in Economics and Finance," Post-Print halshs-00375713, HAL.
    16. William A. Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan, 2004. "Robustness of Nonlinearity and Chaos Tests to Measurement Error, Inference Method, and Sample Size," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 529-548, Emerald Group Publishing Limited.
    17. Xu, Fei & Lai, Yongzeng & Shu, Xiao-Bao, 2018. "Chaos in integer order and fractional order financial systems and their synchronization," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 125-136.
    18. Lokshin Michael & Ravallion Martin, 2004. "Household Income Dynamics in Two Transition Economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-33, September.
    19. Lokshin, Michael & Ravallion, Martin, 2000. "Short-lived shocks with long-lived impacts? - household income dynamics in a transition economy," Policy Research Working Paper Series 2459, The World Bank.
    20. Dominique Guegan, 2009. "Chaos in Economics and Finance," PSE-Ecole d'économie de Paris (Postprint) halshs-00375713, HAL.
    21. Martin Ravallion, 2013. "The Idea of Antipoverty Policy," NBER Working Papers 19210, National Bureau of Economic Research, Inc.

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