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How Inflation Targeters (Can) Deal with Uncertainty

Author

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  • Kateøina Šmídková

    (Czech National Bank, Prague)

Abstract

The paper argues that a well-designed methodology for dealing with uncertainty improves the quality of interest-rate decisions taken by inflation targeters. A well-planned methodology is also more easily communicated to the general public, and the subsequent greater transparency makes inflation targeting more efficient. Therefore, it is relevant for an inflation targeter to consult with or consider information from other inflation targeters, researchers, and relevant decision makers when designing or improving upon their methodology. The paper also summarizes the results of a recent survey on methods for dealing with uncertainty for inflation targeters. The results are presented in a framework designed in line with decision analysis. The paper summarizes which methods are commonly used by inflation targeters and what lessons can be learnt from economic research and from decision makers.

Suggested Citation

  • Kateøina 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.
  • Handle: RePEc:fau:fauart:v:55:y:2005:i:7-8:p:316-332
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    File URL: http://journal.fsv.cuni.cz/storage/1024_s_316_332.pdf
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    References listed on IDEAS

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    1. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    2. Katerina Smidkova & Jiri Behounek & Tibor Hledik & Josef Jilek & Miroslav Kostel & Ivana Matalikova & Dana Rottova & Jana Stankova, 1998. "Koruna Exchange Rate Turbulence in May 1997," Archive of Monetary Policy Division Working Papers 1998/02, Czech National Bank.
    3. Alan S. Blinder & John Morgan, 2000. "Are Two Heads Better than One?: An Experimental Analysis of Group vs. Individual Decisionmaking," Working Papers 2000-1, Princeton University. Economics Department..
    4. Nicoletta Batini & Andrew Haldane, 1999. "Forward-Looking Rules for Monetary Policy," NBER Chapters, in: Monetary Policy Rules, pages 157-202, National Bureau of Economic Research, Inc.
    5. J. Tetlow, Robert & von zur Muehlen, Peter, 2001. "Robust monetary policy with misspecified models: Does model uncertainty always call for attenuated policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 911-949, June.
    6. Katerina Smidkova, 2003. "Methods Available to Monetary Policy Makers to Deal with Uncertainty," Macroeconomics 0310002, University Library of Munich, Germany.
    7. Katerina Smidkova, 2003. "Targeting Inflation under Uncertainty: Policy Makers' Perspective," Research and Policy Notes 2003/02, Czech National Bank.
    8. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
    9. 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.
    10. Geraats, Petra M., 2000. "Why Adopt Transparency? The Publication of Central Bank Forecasts," Center for International and Development Economics Research, Working Paper Series qt0hw7h7cp, Center for International and Development Economics Research, Institute for Business and Economic Research, UC Berkeley.
    11. Lars E.O. Svensson, 2003. "Optimal Policy with Low-Probability Extreme Events," NBER Working Papers 10196, National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Michal Franta & Jozef Barunik & Roman Horvath & Katerina Smidkova, 2011. "Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests," Working Papers 2011/10, Czech National Bank.
    2. repec:cnb:ocpubv:rb05/2 is not listed on IDEAS
    3. Katerina Smidkova & Aleš Bulíø, 2008. "Hits and Misses: Ten Years of Czech Inflation Targeting (Introduction)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(09-10), pages 398-405, December.
    4. repec:cnb:ocpubv:rb06/1 is not listed on IDEAS

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    More about this item

    Keywords

    inflation targeting; uncertainty; decision analysis; robustness analysis;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other

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