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A Nonlinear Panel Unit Root Test under Cross Section Dependence

Author

Listed:
  • Mario Cerrato
  • Christian de Peretti
  • Nick Sarantis
Abstract
We propose a nonlinear heterogeneous panel unit root test for testing the null hypothesis of unit-roots processes against the alternative that allows a proportion of units to be generated by globally stationary ESTAR processes and a remaining non-zero proportion to be generated by unit root processes. The proposed test is simple to implement and accommodates cross sectional dependence. Monte Carlo simulation shows that our test holds correct size and under the hypothesis that data are generated by globally stationary ESTAR processes has a better power than the recent test proposed in Pesaran [2005]. An application to a panel of bilateral real exchange rate series with the US Dollar from the 20 major OECD countries is provided.

Suggested Citation

  • Mario Cerrato & Christian de Peretti & Nick Sarantis, 2008. "A Nonlinear Panel Unit Root Test under Cross Section Dependence," Working Papers 2008_08, Business School - Economics, University of Glasgow.
    • Handle: RePEc:gla:glaewp:2008_08
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    References listed on IDEAS

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    More about this item

    Keywords

    Nonlinear panel unit root tests; cross sectional dependence.;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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