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When can we forecast inflation?

Author

Listed:
  • Jonas D. M. Fisher
  • Chin Te Liu
  • Ruilin Zhou

Abstract

This article reassesses recent work that has challenged the usefulness of inflation forecasts. The authors find that inflation forecasts were informative in 1977-84 and 1993-2000, but less informative in 1985-92. They also find that standard forecasting models, while generally poor at forecasting the magnitude of inflation, are good at forecasting the direction of change of inflation.

Suggested Citation

  • Jonas D. M. Fisher & Chin Te Liu & Ruilin Zhou, 2002. "When can we forecast inflation?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 26(Q I), pages 32-44.
    • Handle: RePEc:fip:fedhep:y:2002:i:qi:p:32-44:n:v.26no.1
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    References listed on IDEAS

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    1. Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
    2. Bordo, Michael D. & Schwartz, Anna J., 1999. "Monetary policy regimes and economic performance: The historical record," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 3, pages 149-234, Elsevier.
    3. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    4. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    5. James H. Stock & Mark W. Watson, 2001. "Forecasting output and inflation: the role of asset prices," Proceedings, Federal Reserve Bank of San Francisco, issue mar.
    6. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
    7. Strongin, Steven, 1995. "The identification of monetary policy disturbances explaining the liquidity puzzle," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 463-497, June.
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