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Optimal Disinflation Under Learning

Author

Listed:
  • Christian Matthes

    (Universitat Pompeu Fabra and Barcelona GSE)

  • Argia M. Sbordone

    (Federal Reserve Bank of New York)

  • Timothy Cogley

    (New York University)

Abstract

We model transitional dynamics that emerge after the adoption of a new monetary-policy rule. We assume that private agents learn about the new policy via Bayesian updating, and we study how learning affects the nature of the transition and choice of a new rule. The model endogenously generates time-varying volatility during the transition. Managing this volatility is the central bank's main challenge. The optimal policy depends on subtle features of the private sector's prior. Nevertheless, two robust conclusions emerge from our examples. First, the central bank can adjust target inflation freely without triggering high volatility. Second, none of our examples rationalizes a gradual reduction in inflation. On the contrary, inflation falls sharply at impact, overshoots the new target, and converges from below.

Suggested Citation

  • Christian Matthes & Argia M. Sbordone & Timothy Cogley, 2011. "Optimal Disinflation Under Learning," 2011 Meeting Papers 74, Society for Economic Dynamics.
  • Handle: RePEc:red:sed011:74
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    References listed on IDEAS

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    More about this item

    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

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