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Monetary Policy Design under Imperfect Knowledge: An Open Economy Analysis

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  • Yu-chin Chen

    (University of Washington)

  • Pisut Kulthanavit

    (University of Washington)

Abstract

This paper incorporates adaptive learning into a standard New-Keynesian open economy dynamic stochastic general equilibrium (DSGE) model and analyze under what conditions policymakers should target domestic producer price inflation (DI) versus consumer price inflation (CI). Our goal is to examine how monetary policy rules should adjust when agents’ information sets deviate from those assumed under the rational expectation paradigm. When agents form expectations using an adaptive learning mechanism, even though the central bank has no informational advantage, monetary policy can nonetheless facilitate the learning process and thus mitigate distortions associated with imperfect knowledge. We assume the policy-maker follows a forwardlooking Taylor rule and focus on analyzing the interplay between the source of the dominant shock and the extent of knowledge imperfection. We find that when agents have very limited knowledge and have to learn the dynamics governing both the relevant economic indicators and the underlying structural shocks, a DI targeting rule introduces fewer forecast errors and is better at stabilizing the economy. However, when agents can observe contemporaneous shocks and need only learn how key economic variables evolve (a situation akin to a post-structural-shift economy), targeting away from the dominant shocks helps anchor expectations and improve welfare. A CI target can then become the preferred policy rule when the economy is subject to large domestic shocks.

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Bibliographic Info

Paper provided by University of Washington, Department of Economics in its series Working Papers with number UWEC-2008-14.

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Date of creation: May 2008
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Handle: RePEc:udb:wpaper:uwec-2008-14

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  1. Waters, George A., 2009. "Learning, Commitment, And Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 13(04), pages 421-449, September.
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  12. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 147-180, February.
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  18. Aoki, Kosuke, 2001. "Optimal monetary policy responses to relative-price changes," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 55-80, August.
  19. Luis-Gonzalo Llosa & Vicente Tuesta, 2008. "Determinacy and Learnability of Monetary Policy Rules in Small Open Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1033-1063, 08.
  20. Schmidt-Hebbel, Klaus & Tapia, Matias, 2002. "Inflation targeting in Chile," The North American Journal of Economics and Finance, Elsevier, vol. 13(2), pages 125-146, August.
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  23. Bruce Preston, 2003. "Learning about monetary policy rules when long-horizon expectations matter," Working Paper 2003-18, Federal Reserve Bank of Atlanta.
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Cited by:
  1. Yu-chin Chen & Pisut Kulthanavit, 2008. "Adaptive Learning and Monetary Policy: Lessons from Japan," Working Papers UWEC-2008-12-P, University of Washington, Department of Economics, revised Oct 2008.
  2. Chang, Chia-ling & Chen, Shu-heng, 2011. "Interactions in DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics Discussion Papers 2011-25, Kiel Institute for the World Economy.
  3. Chen, Shu-heng & Chang, Chia-ling, 2012. "Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 6(26), pages 1-32.

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