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Geometric and long run aspects of Granger causality

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  • Al-Sadoon, Majid M.

Abstract

This paper extends multivariate Granger causality to take into account the subspaces along which Granger causality occurs as well as long run Granger causality. The properties of these new notions of Granger causality, along with the requisite restrictions, are derived and extensively studied for a wide variety of time series processes including linear invertible processes and VARMA. Using the proposed extensions, the paper demonstrates that: (i) mean reversion in L2 is an instance of long run Granger non-causality, (ii) cointegration is a special case of long run Granger non-causality along a subspace, (iii) controllability is a special case of Granger causality, and finally (iv) linear rational expectations entail (possibly testable) Granger causality restriction along subspaces.

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  • Al-Sadoon, Majid M., 2014. "Geometric and long run aspects of Granger causality," Journal of Econometrics, Elsevier, vol. 178(P3), pages 558-568.
  • Handle: RePEc:eee:econom:v:178:y:2014:i:p3:p:558-568
    DOI: 10.1016/j.jeconom.2013.08.019
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    1. Some Weekend Reading
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2013-11-01 22:41:00
    2. Some Weekend Reading
      by ? in R-bloggers on 2013-11-01 22:41:00

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    Cited by:

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    More about this item

    Keywords

    Granger causality; Long run Granger causality; L2-mean-reversion; ρ-mixing; Cointegration; VARMA; Controllability; Kalman decomposition; Linear rational expectations;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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