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The Nature of Trends in the Per Capita Real GDP of Gulf Cooperation Council (GCC) Countries: Some Evidence and Implications

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Listed:
  • Ismail H Genc
  • Musa Darayseh
  • Bassam AbuAl-Foul

    (American University of Sharjah, United Arab Emirates
    American University of Sharjah, United Arab Emirates
    Purdue University, USA)

Abstract

In this paper we attempt to determine whether the per capita real incomes of GCC countries are trend or difference stationary. The distinction is crucial for at least three reasons: first pertains to forecasting; while a trend stationary series tends to return to its long run steady state following a shock, a difference stationary series would tend to carry the impact of such a shock forever. The second has econometric implications because even minor divergences from difference stationarity would lead to non-robust cointegration estimations. The third is about economic theory where the distinction between the neoclassical and endogenous growth models can be settled via empirics of difference or trend stationarity. As the GCC countries strive for more economic integration, correct identification of trends becomes vital in policy making. Our research shows that there is evidence that the per capita real GDP of GCC countries is difference stationary.

Suggested Citation

  • Ismail H Genc & Musa Darayseh & Bassam AbuAl-Foul, 2011. "The Nature of Trends in the Per Capita Real GDP of Gulf Cooperation Council (GCC) Countries: Some Evidence and Implications," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 19-33, July-Dece.
  • Handle: RePEc:jda:journl:vol.45:year:2011:issue1:pp:19-33
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    More about this item

    Keywords

    Unit roots; Structural Shift; Univariate Time Series; Transitional Dynamics; The Gulf Cooperation Council (GCC);
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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