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The accuracy of a forecast targeting central bank

  • Skrove Falch, Nina
  • Nymoen, Ragnar

This paper evaluates inflation forecasts made by Norges Bank which is a successful forecast targeting central bank. It is expected that Norges Bank produces inflation forecasts that are on average better than other forecasts, both naive forecasts, and forecasts from econometric models outside the central bank. We find that the superiority of the bank's forecast cannot be asserted, when compared with genuine ex-ante real time forecasts from an independent econometric model. The 1-step Monetary Policy Report forecasts are preferable to the 1-step forecasts from the outside model, but for the policy relevant horizons (e.g., 4 quarters ahead), the forecasts from the outsider model are preferred with a wider margin. An explanation in terms of too high speed of adjustment to the inflation target is supported by the evidence. Norges Bank's forecasts are better than the naive forecasts. Norwegian inflation appears to be predictable, despite the reduction in inflation persistence that has taken place over the last two decades.

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File URL: http://dx.doi.org/10.5018/economics-ejournal.ja.2011-15
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File URL: http://econstor.eu/bitstream/10419/50737/1/669545562.pdf
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Article provided by Kiel Institute for the World Economy in its journal Economics: The Open-Access, Open-Assessment E-Journal.

Volume (Year): 5 (2011)
Issue (Month): ()
Pages: 1-36

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Handle: RePEc:zbw:ifweej:201115
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  1. Akram, Q. Farooq & Nymoen, Ragnar, 2007. "Model selection for monetary policy analysis How important is empirical validity?," Memorandum 14/2007, Oslo University, Department of Economics.
  2. Eitrheim,O. & Jansen,E.S. & Nymoen,R., 2000. "Progress from forecast failure : the Norwegian consumption function," Memorandum 32/2000, Oslo University, Department of Economics.
  3. Richard Clarida & Jordi Galí & Mark Gertler, 1997. "The science of monetary policy: A new Keynesian perspective," Economics Working Papers 356, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 1999.
  4. Karsten R. Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Evaluating ensemble density combination - forecasting GDP and inflation," Working Paper 2009/19, Norges Bank.
  5. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, March.
  6. Orphanides, Athanasios, 2003. "Monetary policy evaluation with noisy information," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 605-631, April.
  7. Rubaszek, Michal & Skrzypczynski, Pawel, 2008. "On the forecasting performance of a small-scale DSGE model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 498-512.
  8. Wang, Mu-Chun, 2008. "Comparing the DSGE model with the factor model: an out-of-sample forecasting experiment," Discussion Paper Series 1: Economic Studies 2008,04, Deutsche Bundesbank, Research Centre.
  9. Nymoen, Ragnar, 1989. " Wages and the Length of the Working Day. An Empirical Test Based on Norwegian Quarterly Manufacturing Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 91(3), pages 599-612.
  10. Clements Michael P. & Hendry David F., 2008. "Economic Forecasting in a Changing World," Capitalism and Society, De Gruyter, vol. 3(2), pages 1-20, October.
  11. Gunnar Bardsen & Eilev S. Jansen & Ragnar Nymoen, 2003. "Econometric inflation targeting," Econometrics Journal, Royal Economic Society, vol. 6(2), pages 430-461, December.
  12. Christoffel, Kai & Warne, Anders & Coenen, Günter, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
  13. Michael Woodford, 2007. "The Case for Forecast Targeting as a Monetary Policy Strategy," Journal of Economic Perspectives, American Economic Association, vol. 21(4), pages 3-24, Fall.
  14. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
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