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Structural Breaks and the Fisher Effect

Author

Listed:
  • Haug Alfred A

    (University of Otago)

  • Beyer Andreas

    (European Central Bank)

  • Dewald William

    (Ohio State University)

Abstract

There is scant empirical support in the literature for the Fisher effect in the long run, though it is often assumed in theoretical models. We argue that a break in the cointegrating relation introduces a spurious unit root that leads to a rejection of cointegration. We applied new break tests and tested for nonlinearity in the cointegrating relation with post World War II data for 15 countries. Our empirical results support cointegration, after accounting for breaks, and a linear Fisher relation in the long run. This is in contrast to several recent studies that found no support for linear cointegration.

Suggested Citation

  • Haug Alfred A & Beyer Andreas & Dewald William, 2011. "Structural Breaks and the Fisher Effect," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-31, May.
  • Handle: RePEc:bpj:bejmac:v:11:y:2011:i:1:n:9
    DOI: 10.2202/1935-1690.2170
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    Cited by:

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    3. 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.
    4. Saidi, Hichem & El Montasser, Ghassen & Ajmi, Noomen, 2018. "Renewable Energy, Quality of Institutions and Economic Growth in MENA Countries: a Panel Cointegration Approach," MPRA Paper 84055, University Library of Munich, Germany.
    5. Arnold, Stephan & Auer, Benjamin R., 2015. "What do scientists know about inflation hedging?," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 187-214.
    6. Koch, Cathérine Tahmee, 2014. "Risky adjustments or adjustments to risks: Decomposing bank leverage," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 242-254.
    7. Panopoulou, Ekaterini & Pantelidis, Theologos, 2016. "The Fisher effect in the presence of time-varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 495-511.

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