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Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks

Listed author(s):
  • Adolfson, Malin

    ()

    (Research Department, Central Bank of Sweden)

  • Andersson, Michael K.

    ()

    (Monetary Policy Department, Central Bank of Sweden)

  • Lindé, Jesper

    ()

    (Research Department, Central Bank of Sweden)

  • Villani, Mattias

    ()

    (Research Department, Central Bank of Sweden)

  • Vredin, Anders

    ()

    (Monetary Policy Department, Central Bank of Sweden)

There are many indications that formal methods are not used to their full potential by central banks today. In this paper we demonstrate how BVAR and DSGE models can be used to shed light on questions that policy makers deal with in practice using data from Sweden. We compare the forecast performance of BVAR and DSGE models with the Riksbank's official, more subjective forecasts, both in terms of the actual forecasts and root mean square errors. We also discuss how to combine model- and judgment based forecasts, and show that the combined forecast performs well out-of-sample. In addition, we show the advantages of structural analysis and use the models for interpreting the recent development of the inflation rate using historical decompositions. Lastly, we discuss the monetary transmission mechanism in the formal models, using impulse response functions and conditional forecasts.

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File URL: http://www.riksbank.se/upload/WorkingPapers/WP_188Revised.pdf
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Paper provided by Sveriges Riksbank (Central Bank of Sweden) in its series Working Paper Series with number 188.

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Length: 36 pages
Date of creation: 01 Sep 2005
Date of revision: 01 Jun 2006
Handle: RePEc:hhs:rbnkwp:0188
Contact details of provider: Postal:
Sveriges Riksbank, SE-103 37 Stockholm, Sweden

Phone: 08 - 787 00 00
Fax: 08-21 05 31
Web page: http://www.riksbank.com/
Email:


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  1. Andrew Levin & Volker Wieland & John Williams, 2000. "The Performance Of Forecast-Based Monetary Policy Rules Under Model Uncertainty," Computing in Economics and Finance 2000 203, Society for Computational Economics.
  2. Daniel F. Waggoner & Tao Zha, 2000. "Likelihood-preserving normalization in multiple equation models," FRB Atlanta Working Paper 2000-8, Federal Reserve Bank of Atlanta.
  3. Altig, David E & Carlstrom, Charles T & Lansing, Kevin J, 1995. "Computable General Equilibrium Models and Monetary Policy Advice," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 1472-1493, November.
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  8. Anderson, Gary & Moore, George, 1985. "A linear algebraic procedure for solving linear perfect foresight models," Economics Letters, Elsevier, vol. 17(3), pages 247-252.
  9. Tor Jacobson & Per Jansson & Anders Vredin & Anders Warne, 2001. "Monetary policy analysis and inflation targeting in a small open economy: a VAR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 487-520.
  10. Lars E O Svensson, 2005. "Monetary Policy with Judgment: Forecast Targeting," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), pages -, May.
  11. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
  12. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
  13. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
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  17. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
  18. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
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  22. Villani, Mattias, 2005. "Inference in Vector Autoregressive Models with an Informative Prior on the Steady State," Working Paper Series 181, Sveriges Riksbank (Central Bank of Sweden).
  23. Malin Adolfson & Stefan Laséen & Jesper Lindé & Mattias Villani, 2005. "Are Constant Interest Rate Forecasts Modest Policy Interventions? Evidence from a Dynamic Open-Economy Model," International Finance, Wiley Blackwell, vol. 8(3), pages 509-544, December.
  24. 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.
  25. Malin Adolfson & Stefan Laséen & Jesper Lindé & Mattias Villani, 2005. "The Role of Sticky Prices in an Open Economy DSGE Model: A Bayesian Investigation," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 444-457, 04/05.
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