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Panel non stationary tests of the Fisher hypothesis in a world wide context. An analysis of 114 economies during the period 1960-2004

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  • Helmut Herwartz
  • Hans-Eggert Reimers

Abstract

In this paper we follow an empirical approach to examine the implications of the Fisher hypothesis, namely cointegration linking interest rates and in°ation, and stationarity of the real interest rate implying in turn homogeneity of the potential equilibrium relation. The considered sample is an unbalanced panel and comprises monthly time series data from more than 100 economies covering at most a period of about 45 years. In total more than 31000 observations enter our empirical analysis. From cross sectional error correction and dynamic OLS regressions we ¯nd that the parameters of the dynamic relation depend on economic conditions like the level of in°ation or in°ation uncertainty. Moreover, our results indicate that from a world wide perspective the (average) Fisher coe±cient is less than unity. Applying panel unit root and cointegration tests indicate that interest rates and in°ation are cointegrated.

Suggested Citation

  • Helmut Herwartz & Hans-Eggert Reimers, 2006. "Panel non stationary tests of the Fisher hypothesis in a world wide context. An analysis of 114 economies during the period 1960-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
  • Handle: RePEc:eaa:aeinde:v:6:y:2006:i:3_3
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    Cited by:

    1. Herwartz, Helmut & Siedenburg, Florian, 2009. "The effects of variance breaks on homogenous panel unit root tests," Economics Working Papers 2009-07, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Herwartz, H. & Siedenburg, F., 2008. "Homogenous panel unit root tests under cross sectional dependence: Finite sample modifications and the wild bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 137-150, September.

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    More about this item

    Keywords

    Fisher hypothesis; Panel cointegration analysis;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General

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