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Improving monetary policy models

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  • Christopher Sims

Abstract

If macroeconomic models are to be useful in policy-making, where uncertainty is pervasive, the models must be treated as probability models, whether formally or informally. Use of explicit probability models allows us to learn systematically from past mistakes, to integrate model-based uncertainty with uncertain subjective judgment, and to bind data-bassed forecasting together with theory-based projection of policy effects. Yet in the last few decades policy models at central banks have steadily shed any claims to being believable probability models of the data to which they are fit. Here we describe the current state of policy modeling, suggest some reasons why we have reached this state, and assess some promising directions for future progress.

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Bibliographic Info

Article provided by Board of Governors of the Federal Reserve System (U.S.) in its journal Proceedings.

Volume (Year): (2005)
Issue (Month): ()
Pages:

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Handle: RePEc:fip:fedgpr:y:2005:x:8

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Keywords: Monetary policy ; Econometric models;

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References

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  1. Frank Smets & Raf Wouters, 2002. "An estimated dynamic stochastic general equilibrium model of the euro area," Working Paper Research 35, National Bank of Belgium.
  2. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
  3. Sims, Christopher A, 2001. "Fiscal Consequences for Mexico of Adopting the Dollar," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(2), pages 597-616, May.
  4. Doepke, Matthias & Schneider, Martin, 2005. "Real Effects of Inflation Through the Redistribution of Nominal Wealth," CEPR Discussion Papers 5167, C.E.P.R. Discussion Papers.
  5. 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.
  6. Christopher A. Sims & Harald Uhlig, 1988. "Understanding unit rooters: a helicopter tour," Discussion Paper / Institute for Empirical Macroeconomics 4, Federal Reserve Bank of Minneapolis.
  7. Pedro Alvarez-Lois & Richard Harrison & Laura Piscitelli & Alasdair Scott, 2005. "Taking DSGE models to the policy environment," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
  8. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, 05.
  9. Rochelle Edge & Michael Kiley & Jean-Philippe Laforte, 2005. "An estimated DSGE model of the US economy with an application to natural rate measures," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
  10. Christopher A. Sims, 2004. "Econometrics for Policy Analysis: Progress and Regress," De Economist, Springer, vol. 152(2), pages 167-175, 06.
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Citations

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Cited by:
  1. Avouyi-Dovi, Sanvi & Sahuc, Jean-Guillaume, 2011. "On the welfare costs of misspecified monetary policy objectives," Economics Papers from University Paris Dauphine 123456789/11154, Paris Dauphine University.
  2. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2008. "A Comparison Of Forecast Performance Between Federal Reserve Staff Forecasts, Simple Reduced-Form Models, And A Dsge Model," CAMA Working Papers 2009-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. Daly, Hounaida & Smida, Mounir, 2013. "Interaction entre politique monétaire et politique budgétaire:Cas de la Grèce
    [Fiscal and Monetary Policy Interactions : The Greece Case]
    ," MPRA Paper 45931, University Library of Munich, Germany.
  4. Levine, Paul & McAdam, Peter & Pearlman, Joseph, 2012. "Probability models and robust policy rules," European Economic Review, Elsevier, vol. 56(2), pages 246-262.
  5. Francis Vitek, 2009. "Monetary Policy Analysis and Forecasting in the World Economy: A Panel Unobserved Components Approach," IMF Working Papers 09/238, International Monetary Fund.
  6. Sofía Bauducco & Aleš Bulir & Martin Èihák, 2011. "Monetary Policy Rules with Financial Instability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 545-565, December.
  7. Dario Caldara & Richard Harrison & Anna Lipinska, 2012. "Practical tools for policy analysis in DSGE models with missing channels," Finance and Economics Discussion Series 2012-72, Board of Governors of the Federal Reserve System (U.S.).
  8. Daly, Hounaida & Smida, Mounir, 2013. "La coordination des politiques monétaire et budgétaire: Aperçu théorique
    [Coordination of monetary and fiscal policies: Theoretical Overview]
    ," MPRA Paper 48066, University Library of Munich, Germany.

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