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Testing for Granger's Full Causality

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  • Covey, Ted
  • Bessler, David A

Abstract

A procedure is proposed to test for the existence of a fully causal relationship between two variables. The method involves contrasting the probabilistic forecasting performance of a univariate and bivariate specification for the same variable Y. If there exists some theory or belief that X causes Y, and the addition of a variable X to the information set of a prequential forecasting system for a variable Y reduces miscalibration and/or the level of forecast uncertainty with respect Y's distribution for the next period, then a fully causal effect running from X to Y may be inferred. Vector autoregression allows testing for feedback. The method is to be applied to the issue of causality between the live cattle futures market and a major slaughter cattle cash market. Copyright 1992 by MIT Press.

Suggested Citation

  • Covey, Ted & Bessler, David A, 1992. "Testing for Granger's Full Causality," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 146-153, February.
    • Handle: RePEc:tpr:restat:v:74:y:1992:i:1:p:146-53
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    Cited by:

    1. Philipp Adämmer & Martin T. Bohl, 2015. "Price Discovery in European Agricultural Markets: When Do Futures Contracts Matter?," CQE Working Papers 4415, Center for Quantitative Economics (CQE), University of Muenster.
    2. David Bessler & Robert Ruffley, 2004. "Prequential analysis of stock market returns," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 399-412.
    3. Se Kyu Choi-Ha & Luis Felipe Lagos, 2003. "El Dinero como Indicador Líder," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(120), pages 259-283.
    4. Philipp Adämmer & Martin T. Bohl, 2018. "Price discovery dynamics in European agricultural markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(5), pages 549-562, May.
    5. Choudhry, Taufiq, 2009. "Short-run deviations and time-varying hedge ratios: Evidence from agricultural futures markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 58-65, March.

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