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Nonlinear Inflation Expectations and Endogenous Fluctuations

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  • Orlando Gomes

Abstract

The standard new Keynesian monetary policy problem is presentable as a set of linearized equations, for values of endogenous variables relatively close to their steady-state. As a result, only three possibilities are admissible in terms of long-term dynamics: the equilibrium may be a stable node, an unstable node or a saddle point. Fixed point stability (a stable node) is generally guaranteed for an active monetary policy rule. The benchmark model also considers extremely simple assumptions about expectations (perfect foresight is frequently assumed). In this paper, one inquires how a change in the way inflation expectations are modelled implies a change in monetary policy results, when an active Taylor rule is considered. By assuming that inflation expectations are constrained by the evolution of the output gap, we radically modify the implications of policy intervention: endogenous cycles, of various periodicities, and chaotic motion will be observable for reasonable parameter values.

Suggested Citation

  • Orlando Gomes, 2010. "Nonlinear Inflation Expectations and Endogenous Fluctuations," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 263-280, November.
  • Handle: RePEc:fau:aucocz:au2010_263
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    Cited by:

    1. Dzmitry Kruk, 2016. "SVAR Approach for Extracting Inflation Expectations Given Severe Monetary Shocks: Evidence from Belarus," BEROC Working Paper Series 39, Belarusian Economic Research and Outreach Center (BEROC).

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    More about this item

    Keywords

    Monetary policy; Taylor rule; inflation expectations; endogenous business cycles; nonlinear dynamics and chaos;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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