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Misperception-driven chaos: Theory and policy implications

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  • Yokoo, Masanori
  • Ishida, Junichiro

Abstract

In a large economy, it is extremely difficult, if not impossible, to immediately grasp the state of our surrounding environment with precision since we normally have access only to a subset of relevant information. In this paper, we introduce this information imperfection into an ordinary model of endogenous business cycles and examine how it would affect the dynamic nature of the model. We, in particular, present a mechanism by which observation errors result in chaotic fluctuations in a model that would behave regularly otherwise, thereby indicating the importance of potential misperception about the current state in a qualitative sense. Also, our model is tractable enough to explicitly derive a policy index of chaotic fluctuations under some conditions. This feature of the model allows us to draw some policy implications regarding the observability of macroeconomic state variables.

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  • Yokoo, Masanori & Ishida, Junichiro, 2008. "Misperception-driven chaos: Theory and policy implications," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1732-1753, June.
    • Handle: RePEc:eee:dyncon:v:32:y:2008:i:6:p:1732-1753
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    Cited by:

    1. Gomes, Orlando, 2013. "Information stickiness on general equilibrium and endogenous cycles," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-43.
    2. Takao Asano & Masanori Yokoo, 2017. "Chaotic Dynamics of a Piecewise Linear Model of Credit Cycles with Imperfect Observability," KIER Working Papers 967, Kyoto University, Institute of Economic Research.
    3. Asano, Takao & Yokoo, Masanori, 2019. "Chaotic dynamics of a piecewise linear model of credit cycles," Journal of Mathematical Economics, Elsevier, vol. 80(C), pages 9-21.
    4. Umezuki, Yosuke & Yokoo, Masanori, 2019. "A simple model of growth cycles with technology choice," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 164-175.

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