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Quantifying the Uncertainty about the Fit of a New Keynesian Pricing Model: Extended Version

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  • André Kurmann

Abstract

Recent studies by Gali and Gertler (1999) and Sbordone (2002) conclude that a theoretical inflation series implied by the forward-looking New Keynesian pricing model of Calvo (1983) fits post-1960 U.S. inflation closely. Their theoretical inflation series is conditional on (i) a reduced-form forecasting process for real marginal cost; and (ii) the calibration of the structural pricing equation implied by the Calvo model. The present paper shows that both of these determinants are surrounded by considerable uncertainty. When quantifying the impact of this uncertainty on theoretical inflation, I find that we can no longer say whether the Calvo model explains observed inflation dynamics very well or very poorly.

Suggested Citation

  • André Kurmann, 2003. "Quantifying the Uncertainty about the Fit of a New Keynesian Pricing Model: Extended Version," Cahiers de recherche 0344, CIRPEE.
  • Handle: RePEc:lvl:lacicr:0344
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    References listed on IDEAS

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    Cited by:

    1. Kurmann, Andre, 2005. "Quantifying the uncertainty about the fit of a new Keynesian pricing model," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1119-1134, September.
    2. Peter Tillmann, 2009. "The New Keynesian Phillips curve in Europe: does it fit or does it fail?," Empirical Economics, Springer, vol. 37(3), pages 463-473, December.

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    More about this item

    Keywords

    Inflation; New Keynesian pricing; real marginal cost;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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