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Methods Available to Monetary Policy Makers to Deal with Uncertainty

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Author Info
Katerina Smidkova (Czech National Bank)

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Abstract

Three sources – research on monetary policy under uncertainty, the managerial literature, and the real-life strategies of five inflation targeters – have been used to survey methods that are available to monetary policy makers to deal with uncertainty. The methods have been compared within a framework that is based on a decision matrix. The comparative framework has been designed in order to encompass different representations of uncertainty employed by various central banks. The results of comparative analysis suggest that central banks use models, intuition, judgement as well as traditional managerial methods to deal with uncertainty. This finding helps understanding why economic research cannot fully explain differences between monetary policy actions and outcomes of model simulations. The results of the comparative analysis also suggest that central banks have not so far fully utilised the whole spectrum of methods available to them. Economic research, other banks’ strategies as well as decision analysis may be interesting sources of inspiration when designing the decision-making process. It is emphasised that central banks introducing inflation targeting should pay equal attention to both building their forecasting models as well as selecting methods to deal with uncertainty. In the case of emerging economies where uncertainty can be much higher than in advanced economies, neglecting uncertainty may increase probability of policy errors significantly.

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Paper provided by EconWPA in its series Macroeconomics with number 0310002.

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Length: 38 pages
Date of creation: 06 Oct 2003
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Handle: RePEc:wpa:wuwpma:0310002

Note: Type of Document - ; pages: 38 . The paper has been prepared for the conference “Forecasting in a Central Bank”, Bank of England, August 2003, London.
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Related research
Keywords: Inflation targeting Uncertainty Decision matrix Survey of methods;

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Find related papers by JEL classification:
E - Macroeconomics and Monetary Economics

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Tiff Macklem, 2002. "Information and Analysis for Monetary Policy: Coming to a Decision," Bank of Canada Review, Bank of Canada, vol. 2002(Summer), pages 11-18. [Downloadable!]
  2. Lombardelli, Clare & James Proudman & James Talbot, 2003. "Committees versus individuals: an experimental analysis of monetary policy decision-making," Royal Economic Society Annual Conference 2003 142, Royal Economic Society. [Downloadable!]
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    Other versions:
  4. Alan S. Blinder & John Morgan, 2000. "Are Two Heads Better Than One?: An Experimental Analysis of Group vs. Individual Decisionmaking," NBER Working Papers 7909, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  5. Alan S. Blinder, 1999. "Central Banking in Theory and Practice," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262522608.
  6. Douglas Laxton & David Rose & Alasdair Scott, 2009. "Developing a Structured Forecasting and Policy Analysis System to Support Inflation-Forecast Targeting (IFT)," IMF Working Papers 09/65, International Monetary Fund. [Downloadable!]
  7. Otmar Issing, 2002. "Monetary Policy In A World of Uncertainty," Economie Internationale, CEPII research center, issue 4Q, pages 165-179. [Downloadable!]
  8. 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.). [Downloadable!]
    Other versions:
  9. Lars E.O. Svensson, 2003. "Optimal Policy with Low-Probability Extreme Events," NBER Working Papers 10196, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. John C. Robertson, 2000. "Central bank forecasting: an international comparison," Economic Review, Federal Reserve Bank of Atlanta, issue Q2, pages 21-32. [Downloadable!]
  11. Cogley, Timothy & Morozov, Sergei & Sargent, Thomas J., 2005. "Bayesian fan charts for U.K. inflation: Forecasting and sources of uncertainty in an evolving monetary system," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1893-1925, November. [Downloadable!] (restricted)
    Other versions:
  12. Srour, Gabriel, 1999. "Inflation Targeting under Uncertainty," Technical Reports 85, Bank of Canada. [Downloadable!]
  13. Geraats, Petra M, 2000. "Why Adopt Transparency? The Publication of Central Bank Forecasts," CEPR Discussion Papers 2582, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  14. Christopher A. Sims, 2001. "Pitfalls of a Minimax Approach to Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 51-54, May. [Downloadable!] (restricted)
  15. Robert J. Tetlow & Peter von zur Muehlen, 2000. "Robust monetary policy with misspecified models: does model uncertainty always call for attenuated policy?," Finance and Economics Discussion Series 2000-28, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
    Other versions:
  16. Lavan Mahadeva & Katerina Smidkova, 2004. "Modelling transmission mechanism of monetary policy in the Czech Republic," Macroeconomics 0402032, EconWPA. [Downloadable!]
  17. Svensson, Lars E O, 1996. "Inflation Forecast Targeting: Implementing and Monitoring Inflation Targets," CEPR Discussion Papers 1511, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  18. Simon Hall & Chris Salmon & Tony Yates & Nicoletta Batini, . "Uncertainty and Simple Monetary Policy Rules - An illustration for the United Kingdom," Bank of England working papers 96, Bank of England. [Downloadable!]
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Kateřina Šmídková, 2005. "How Inflation Targeters (Can) Deal with Uncertainty," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 55(7-8), pages 316-332, July. [Downloadable!]
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