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Some Notes on Monetary Policy Rules with Uncertainty

  • Gabriel Srour
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    The author explores the role that Taylor-type rules can play in monetary policy, given the degree of uncertainty in the economy. The optimal rule is derived from a simple infinite-horizon model of the monetary transmission mechanism, with only additive uncertainty. The author then examines how this rule ought to be modified when there is uncertainty about the parameters, the time lags, and the nature of shocks. Quantitative evaluations are subsequently provided. In particular, it is shown that if the degree of persistence of inflation in the Phillips curve is not high, a simple rule such as the original Taylor rule that offsets demand shocks and puts a relatively small weight on inflation shocks may be an appropriate benchmark for the conduct of monetary policy. Conversely, it is argued that if the degree of persistence of inflation in the Phillips curve is high, then finding a Taylor-type rule that can act as a benchmark for monetary policy is likely to be difficult.

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    Paper provided by Bank of Canada in its series Staff Working Papers with number 03-16.

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    Length: 59 pages
    Date of creation: 2003
    Date of revision:
    Handle: RePEc:bca:bocawp:03-16
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    1. Laurence Ball, 1997. "Efficient Rules for Monetary Policy," NBER Working Papers 5952, National Bureau of Economic Research, Inc.
    2. Andrew Levin & Volker Wieland & John C. Williams, 1998. "Robustness of Simple Monetary Policy Rules under Model Uncertainty," NBER Working Papers 6570, National Bureau of Economic Research, Inc.
    3. Arturo Estrella & Frederic Mishkin, 1998. "Rethinking the role of NAIRU in monetary policy: implications of model formulation and uncertainty," Research Paper 9806, Federal Reserve Bank of New York.
    4. Eric T. Swanson, 2000. "On signal extraction and non-certainty-equivalence in optimal monetary policy rules," Finance and Economics Discussion Series 2000-32, Board of Governors of the Federal Reserve System (U.S.).
    5. Athanasios Orphanides & Simon van Norden, 1999. "The reliability of output gap estimates in real time," Finance and Economics Discussion Series 1999-38, Board of Governors of the Federal Reserve System (U.S.).
    6. Athanasios Orphanides, 1998. "Monetary policy evaluation with noisy information," Finance and Economics Discussion Series 1998-50, Board of Governors of the Federal Reserve System (U.S.).
    7. Lars E O Svensson, 1996. "Inflation Forecast Targeting: Implementing and Monitoring Inflation Targets," Bank of England working papers 56, Bank of England.
    8. Brian P. Sack, 1998. "Uncertainty, learning, and gradual monetary policy," Finance and Economics Discussion Series 1998-34, Board of Governors of the Federal Reserve System (U.S.).
    9. Peter Isard & Douglas Laxton & Ann-Charlotte Eliasson, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," Computing in Economics and Finance 1999 841, Society for Computational Economics.
    10. Denise Côté & John Kuszczak & Jean-Paul Lam & Ying Liu & Pierre St-Amant, 2002. "The Performance and Robustness of Simple Monetary Policy Rules in Models of the Canadian Economy," Technical Reports 92, Bank of Canada.
    11. Jamie Armour & Ben Fung & Dinah Maclean, 2002. "Taylor Rules in the Quarterly Projection Model," Staff Working Papers 02-1, Bank of Canada.
    12. Srour, Gabriel, 1999. "Inflation Targeting under Uncertainty," Technical Reports 85, Bank of Canada.
    13. Craine, Roger, 1979. "Optimal monetary policy with uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 1(1), pages 59-83, February.
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