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Fisher Hypothesis Revisited: A Fractional Cointegration Analysis

Author

Listed:
  • Saadet Kirbas Kasman

    (Department of Economics, Faculty of Business, Dokuz Eylül University)

  • Adnan Kasman

    (Department of Economics, Faculty of Business, Dokuz Eylül University)

  • Evrim Turgutlu

    (Department of Economics, Faculty of Business, Dokuz Eylül University)

Abstract

This paper investigates the validity of the Fisher hypothesis using data from 33 developed and developing countries. Conventional cointegration tests do not provide strong evidence on the relationship between nominal interest rates and inflation. Therefore, we use fractional cointegration analysis to test the long-run relationship between the two variables. The results indicate that the long-run relationship between nominal interest rates and inflation do not exist for most countries in the sample when conventional cointegration test is employed. However, fractional cointegration between the two variables is found for a large majority of countries, implying the validity of the Fisher hypothesis. The results also indicate that the equilibrium errors display long memory.

Suggested Citation

  • Saadet Kirbas Kasman & Adnan Kasman & Evrim Turgutlu, 2005. "Fisher Hypothesis Revisited: A Fractional Cointegration Analysis," Discussion Paper Series 05/04, Dokuz Eylül University, Faculty of Business, Department of Economics, revised 23 Nov 2005.
  • Handle: RePEc:deu:dpaper:0504
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    References listed on IDEAS

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    Cited by:

    1. Salah Nusair, 2008. "Testing for the Fisher hypothesis under regime shifts: an application to Asian countries," International Economic Journal, Taylor & Francis Journals, vol. 22(2), pages 273-284.

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    More about this item

    Keywords

    Fisher hypothesis; interest rates; fractional cointegration; long memory;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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