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Cross‐Country Evidence on the Ability of the Nominal Interest Rate to Predict Inflation

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  • Imad A. Moosa
  • Jolanta Kwiecien

Abstract

This paper examines the viability of using short‐term interest rates to forecast inflation as implied by the Fisher hypothesis. A major problem with this approach lies in the implicit assumptions that the real interest rate is constant and that the relationship between inflation and interest rate does not change over time. We demonstrate, using quarterly data for four OECD countries, that by relaxing these assumptions and allowing for seasonality in the inflation rate it is possible to obtain a model with a high degree of forecasting accuracy and efficiency. JEL Classification Numbers: C22, C52, E31.

Suggested Citation

  • Imad A. Moosa & Jolanta Kwiecien, 2002. "Cross‐Country Evidence on the Ability of the Nominal Interest Rate to Predict Inflation," The Japanese Economic Review, Japanese Economic Association, vol. 53(4), pages 478-495, December.
    • Handle: RePEc:bla:jecrev:v:53:y:2002:i:4:p:478-495
    DOI: 10.1111/1468-5876.00240
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    Citations

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    Cited by:

    1. Kelly Burns, 2016. "A Reconsideration of the Meese-Rogoff Puzzle: An Alternative Approach to Model Estimation and Forecast Evaluation," Multinational Finance Journal, Multinational Finance Journal, vol. 20(1), pages 41-83, March.
    2. Imad Moosa & Kelly Burns, 2014. "Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3107-3118, September.
    3. Chrigui Zouhair & Boujelbene Younes, 2009. "The Opportunities for Adopting Inflation Targeting in Tunisia: a Cointegration Study and Transmission Channels of Monetary Policy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(3), pages 671-692, October.
    4. Daiki Maki, 2005. "Asymmetric adjustment of the equilibrium relationship between the nominal interest rate and inflation rate," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-8.
    5. Moosa, Imad & Burns, Kelly, 2014. "The unbeatable random walk in exchange rate forecasting: Reality or myth?," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 69-81.
    6. Takayasu Ito, 2009. "Fisher Hypothesis in Japan: Analysis of Long‐term Interest Rates under Different Monetary Policy Regimes," The World Economy, Wiley Blackwell, vol. 32(7), pages 1019-1035, July.
    7. Maki, Daiki, 2003. "Nonparametric cointegration analysis of the nominal interest rate and expected inflation rate," Economics Letters, Elsevier, vol. 81(3), pages 349-354, December.
    8. repec:ebl:ecbull:v:3:y:2005:i:9:p:1-8 is not listed on IDEAS

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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