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The Long-Run Fisher Effect: Can It Be Tested?

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  • MARK J. JENSEN

Abstract

In this paper, I provide a plausible explanation as to why past studies have been unable to find support for the long-run Fisher effect. My argument is that exogenous shocks to the inflation rates in industrialized economies have not produced the permanent change to inflation necessary for testing the Fisher effect. Instead of finding a nonstationary, unit-root process for inflation like previous Fisher effect studies, here each country's inflation rate is found to follow a mean-reverting, fractionally integrated, long-memory process. Applying a bivariate, maximum likelihood estimator to a multivariate, fractionally integrated model of inflation and nominal interest, I find that the estimated inflation rates in 17 developed countries are highly persistent, fractionally integrated, mean-reverting processes with order of integration parameters significantly less than one. Since a permanent change to inflation has not occurred, a test of whether a permanent change to inflation affects the nominal interest rate one-for-one will be uninformative as to the truth or fallacy of the Fisher effect hypothesis. Copyright (c) 2009 The Ohio State University.

Suggested Citation

  • Mark J. Jensen, 2009. "The Long-Run Fisher Effect: Can It Be Tested?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 221-231, February.
    • Handle: RePEc:mcb:jmoncb:v:41:y:2009:i:1:p:221-231
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    2. Masudul Hasan Adil & Shadab Danish & Sajad Ahmad Bhat & Bandi Kamaiah, 2020. "Fisher Effect: An Empirical Re-examination in Case of India," Economics Bulletin, AccessEcon, vol. 40(1), pages 262-276.
    3. Basse, Tobias & Wegener, Christoph, 2022. "Inflation expectations: Australian consumer survey data versus the bond market," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 416-430.
    4. Barnett William A. & Jawadi Fredj & Ftiti Zied, 2020. "Causal relationships between inflation and inflation uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-26, December.
    5. P. S. Sephton, 2010. "On the empirical size of Nielsen's multivariate likelihood ratio test of fractional integration," Applied Economics, Taylor & Francis Journals, vol. 42(13), pages 1671-1679.
    6. Kruse Robinson & Ventosa-Santaulària Daniel & Noriega Antonio E., 2017. "Changes in persistence, spurious regressions and the Fisher hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-28, June.
    7. Sunal, Onur, 2022. "The efficiency of primary sovereign bond markets in Turkey: The so-called Fisher puzzle reconsidered," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 255-261.
    8. Beyer, Andreas & Dewald, William G. & Haug, Alfred A., 2009. "Structural breaks, cointegration and the Fisher effect," Working Paper Series 1013, European Central Bank.
    9. Dong-Hyeon Kim & Shu-Chin Lin & Joyce Hsieh & Yu-Bo Suen, 2018. "The Fisher Equation: A Nonlinear Panel Data Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(1), pages 162-180, January.
    10. Andrew Phiri, 2023. "Fisher’s hypothesis in time–frequency space: a premier using South Africa as a case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4255-4284, October.
    11. Richard T. Baillie & George Kapetanios & Fotis Papailias, 2017. "Inference for impulse response coefficients from multivariate fractionally integrated processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 60-84, March.
    12. Mohammed Saiful ISLAM & Mohammad Hasmat ALI, 2012. "Taylor Principle Supplements the Fisher Effect: Empirical Investigation under the US Context," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 189-203, June.

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