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Central Bank Learning, Terms of Trade Shocks & Currency Risk: Should Exchange Rate Volatility Matter for Monetary Policy?

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Author Info
G.C. Lim (University of Melbourne)
Paul D. McNelis () (Boston College)

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Abstract

This paper examines the role of interest rate policy in a small open economy subject to terms of trade shocks and time-varying currency risk responding to domestic exchange rate volatility. The private sector makes optimal decisions in an intertemporal non-linear setting with rational,forward-looking expectations. In contrast,the monetary authority practices least-squares learning about the evolution of inflation, output growth, and exchange rate depreciation in alternative policy scenarios. Interest rates are set by linear quadratic optimization, with the objectives for inflation, output growth, or depreciation depending on current conditions. The simulation results show that the preferred stance is one which targets inflation and growth, not inflation only nor inflation, growth and depreciation. Including exchange rate changes as targets significantly increases output variability, but marginally reduces inflation variability.

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Publisher Info
Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 509.

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Length: 26 pages
Date of creation: 01 Oct 2001
Date of revision:
Handle: RePEc:boc:bocoec:509

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Related research
Keywords: Currency risk; learning; parameterized expectations; policy targets;

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    Other versions:
  2. Julio J. Rotemberg & Michael Woodford, 1998. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy: Expanded Version," NBER Technical Working Papers 0233, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Mendoza, Enrique G, 1995. "The Terms of Trade, the Real Exchange Rate, and Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(1), pages 101-37, February. [Downloadable!] (restricted)
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  6. Judd, Kenneth L., 1996. "Approximation, perturbation, and projection methods in economic analysis," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 12, pages 509-585 Elsevier. [Downloadable!] (restricted)
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  10. L.J. Christiano & C.J. Gust, 1999. "Taylor Rules in a Limited Participation Model," DNB Staff Reports (discontinued) 33, Netherlands Central Bank. [Downloadable!]
  11. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1, March. [Downloadable!]
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