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Article Dans Une Revue Communications in Statistics - Simulation and Computation Année : 2013

Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form

Résumé

In this article, we propose a general method for testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form. These tests are based on a Taylor expansion of the nonlinear model around a given point in the sample space. We study the performance of our tests by a Monte Carlo experiment and compare these to the most widely used linear test. Our tests appear to be well-sized and have reasonably good power properties.

Dates et versions

hal-01500895 , version 1 (03-04-2017)

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Citer

Anne Peguin-Feissolle, Birgit Strikholm, Timo Teräsvirta. Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form. Communications in Statistics - Simulation and Computation, 2013, 42 (5), pp.1063-1087. ⟨10.1080/03610918.2012.661500⟩. ⟨hal-01500895⟩
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