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Guarding Against Large Policy Errors under Model Uncertainty

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  • Gino Cateau

Abstract

How can policy-makers avoid large policy errors when they are uncertain about the true model of the economy? The author discusses some recent approaches that can be used for that purpose under two alternative scenarios: (i) the policy-maker has one reference model for choosing policy but cannot take a stand as to how that model is misspecified, and (ii) the policy-maker, being uncertain about the economy's true structure, entertains multiple distinct models of the economy. The author shows how these approaches can be implemented in practice using as benchmark models simplified versions of Fuhrer and Moore (1995) and Christiano, Eichenbaum, and Evans (2005).

Suggested Citation

  • Gino Cateau, 2006. "Guarding Against Large Policy Errors under Model Uncertainty," Staff Working Papers 06-13, Bank of Canada.
  • Handle: RePEc:bca:bocawp:06-13
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    References listed on IDEAS

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    1. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    2. Lars Peter Hansen & Thomas J Sargent, 2014. "Robust Control and Model Uncertainty," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 5, pages 145-154, World Scientific Publishing Co. Pte. Ltd..
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    5. Fuhrer, Jeffrey C & Moore, George R, 1995. "Monetary Policy Trade-offs and the Correlation between Nominal Interest Rates and Real Output," American Economic Review, American Economic Association, vol. 85(1), pages 219-239, March.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Currie,David & Levine,Paul, 2009. "Rules, Reputation and Macroeconomic Policy Coordination," Cambridge Books, Cambridge University Press, number 9780521104609, October.
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    9. Stephen Murchison & Andrew Rennison & Zhenhua Zhu, 2004. "A Structural Small Open-Economy Model for Canada," Staff Working Papers 04-4, Bank of Canada.
    10. Haluk Ergin & Faruk Gul, 2004. "A subjective theory of compound lotteries," Econometric Society 2004 North American Summer Meetings 152, Econometric Society.
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    12. Gino Cateau, 2005. "Monetary Policy under Model and Data-Parameter Uncertainty," Staff Working Papers 05-6, Bank of Canada.
    13. Giannoni, Marc P., 2002. "Does Model Uncertainty Justify Caution? Robust Optimal Monetary Policy In A Forward-Looking Model," Macroeconomic Dynamics, Cambridge University Press, vol. 6(1), pages 111-144, February.
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    Cited by:

    1. Moisă ALTĂR & Alexie ALUPOAIEI & Adam ALTĂR-SAMUEL, 2017. "Dynamics in a New-Keynesian Model with Financial Accelerator and Uncertainty," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(2), pages 5-22.
    2. Levine, Paul & Pearlman, Joseph, 2010. "Robust monetary rules under unstructured model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 456-471, March.
    3. Donald Coletti, 2023. "A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models," Discussion Papers 2023-23, Bank of Canada.
    4. Richard Dennis, 2007. "Model uncertainty and monetary policy," Working Paper Series 2007-09, Federal Reserve Bank of San Francisco.

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    More about this item

    Keywords

    Uncertainty and monetary policy;

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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