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Discretionary Policy and Multiple Equilibria in a New Keynesian Model

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  • Volker Hahn

    (Department of Economics, University of Konstanz, Germany)

Abstract

Focusing on linear-quadratic models with rational expectations, this paper extends the concept of discretionary equilibrium by allowing for linear non- Markovian strategies of the policy-maker and the other agents in the economy. Applying this concept to the standard New Keynesian framework, we show that a multitude of equilibria arise. Some equilibria have favorable consequences for welfare, resulting in outcomes superior even to those achieved under timelessperspective commitment. Compared to traditional approaches to modeling credibility through trigger strategies, our approach has the desirable implication that small mistakes of the policy-maker have only small consequences for his reputation. Finally, we show that our equilibrium concept can provide an alternative explanation for the high degree of inflation persistence found in the data.

Suggested Citation

  • Volker Hahn, 2014. "Discretionary Policy and Multiple Equilibria in a New Keynesian Model," Working Paper Series of the Department of Economics, University of Konstanz 2014-14, Department of Economics, University of Konstanz.
  • Handle: RePEc:knz:dpteco:1414
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    References listed on IDEAS

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    Cited by:

    1. Bianca De Paoli & Matthias Paustian, 2017. "Coordinating Monetary and Macroprudential Policies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 319-349, March.

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    Keywords

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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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