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Testing For Nonlinearity In G7 Macroeconomic Time Series

Author

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  • Yavuz, Nilgün Çil

    (Department of Econometrics, Faculty of Economics, Istanbul University,)

  • Yilanci, Veli

    (Department of Econometrics, Faculty of Economics, Istanbul University,)

Abstract

In this study, we test the linearity of G7 macroeconomic time series over the period 1959Q1-1999Q4. The stationarity properties of this dataset was before tested by Aksoy and Ledesma (2008) employing unit root tests which are based on linear and nonlinear models. Aksoy and Ledesma (2008) concluded that the variables have uncertain order of integration. Therefore, by employing a recently introduced linearity test of Harvey et al. (2008), which is a powerful test even the order of integration is not certain, we test the linearity of this dataset to determine which kind of unit root test should have been used. We also show that more than half of the series are nonlinear which indicates the importance of testing the nonlinearity of macroeconomic time series.

Suggested Citation

  • Yavuz, Nilgün Çil & Yilanci, Veli, 2012. "Testing For Nonlinearity In G7 Macroeconomic Time Series," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 69-79, September.
    • Handle: RePEc:rjr:romjef:v::y:2012:i:3:p:69-79
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    References listed on IDEAS

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    Cited by:

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    2. Yunus Kilic & Mehmet Fatih Bugan, 2016. "The Efficient Market Hypothesis: Evidence from Turkey," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(10), pages 262-272, October.

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    More about this item

    Keywords

    nonlinearity; time series; unit root; G7; stationarity;
    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

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