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Does a non-linear mean reverting process characterize real GDP movements?

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  • Dimitris Christopoulos

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  • Dimitris Christopoulos, 2006. "Does a non-linear mean reverting process characterize real GDP movements?," Empirical Economics, Springer, vol. 31(3), pages 601-611, September.
    • Handle: RePEc:spr:empeco:v:31:y:2006:i:3:p:601-611
    DOI: 10.1007/s00181-005-0034-5
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    References listed on IDEAS

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    1. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    2. Shin, Dong Wan & Lee, Oesook, 2001. "Tests for Asymmetry in Possibly Nonstationary Time Series Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 233-244, April.
    3. Ludlow, Jorge & Enders, Walter, 2000. "Estimating non-linear ARMA models using Fourier coefficients," International Journal of Forecasting, Elsevier, vol. 16(3), pages 333-347.
    4. Andrew P. Blake & George Kapetanios, 2003. "Pure Significance Tests of the Unit Root Hypothesis Against Nonlinear Alternatives," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(3), pages 253-267, May.
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    Cited by:

    1. Awokuse, Titus O. & Christopoulos, Dimitris K., 2009. "Nonlinear dynamics and the exports-output growth nexus," Economic Modelling, Elsevier, vol. 26(1), pages 184-190, January.

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    More about this item

    Keywords

    Unit root tests; Non-linear models; Real GDP; C22; E1;
    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
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models

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