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Model Specification and Inflation Forecast Uncertainty

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  • Gunnar BARDSEN
  • Eilev JANSEN
  • Ragnar NYMOEN

Abstract

Three classes of inflation models are discussed: Standard Phillips curves, New Keynesian Phillips curves and Incomplete Competition Models. Their relative merits in explaining and forecasting inflation are investigated theoretically and empirically. We establish that Standard Phillips-curve forecasts are robust to types of structural breaks that harm the Incomplete Competion model forecasts, but exaggerate forecast uncertainty in periods with no breaks. As the potential biases in after-break forecast errors for the Incomplete Competition model can be remedied by intercept corrections, it offers the best prospect of successful inflation forecasting.

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File URL: http://www.jstor.org/stable/20076357
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Bibliographic Info

Article provided by ENSAE in its journal Annals of Economics and Statistics.

Volume (Year): (2002)
Issue (Month): 67-68 ()
Pages: 495-517

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Handle: RePEc:adr:anecst:y:2002:i:67-68:p:18

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Citations

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Cited by:
  1. Bårdsen, Gunnar & Jansen, Eilev S. & Nymoen, Ragnar, 2003. "Testing the New Keynesian Phillips curve," Memorandum 18/2002, Oslo University, Department of Economics.
  2. Nymoen, Ragnar, 2005. "Evaluating a Central Bank’s Recent Forecast Failure," Memorandum 22/2005, Oslo University, Department of Economics.
  3. Ragnar Nymoen & Gunnar Bardsen & Eilev S. Jansen, 2004. "The empirical relevance of the New Keynesian Phillips curve," Econometric Society 2004 North American Winter Meetings 328, Econometric Society.
  4. Gunnar Bårdsen & Eilev S. Jansen & Ragnar Nymoen, 2002. "The Empirical (ir)Relevance of the New Keynesian Phillips Curve," Working Paper Series 2102, Department of Economics, Norwegian University of Science and Technology.
  5. Q. Farooq Akram & Ragnar Nymoen, 2006. "Model selection for monetary policy analysis – Importance of empirical validity," Working Paper 2006/13, Norges Bank.

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