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Testing for Granger Non-causality in Heterogeneous Panels

Author

Listed:
  • Christophe Hurlin

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Elena Dumitrescu

    (LEO - Laboratoire d'Économie d'Orleans [UMR7322] - UO - Université d'Orléans - UT - Université de Tours - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper proposes a very simple test of Granger (1969) non-causality for hetero- geneous panel data models. Our test statistic is based on the individual Wald statistics of Granger non causality averaged across the cross-section units. First, this statistic is shown to converge sequentially to a standard normal distribution. Second, the semi- asymptotic distribution of the average statistic is characterized for a fixed T sample. A standardized statistic based on an approximation of the moments of Wald statistics is hence proposed. Third, Monte Carlo experiments show that our standardized panel statistics have very good small sample properties, even in the presence of cross-sectional dependence.

Suggested Citation

  • Christophe Hurlin & Elena Dumitrescu, 2012. "Testing for Granger Non-causality in Heterogeneous Panels," Working Papers halshs-00224434, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00224434
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00224434v2
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Granger non-causality; Panel data; Wald Test.; Wald Test;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

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