statsmodels.tsa.vector_ar.vecm.VECMResults.test_granger_causality¶

VECMResults.test_granger_causality(caused, causing=None, signif=0.05)[source]¶

Test for Granger-causality.

The concept of Granger-causality is described in chapter 7.6.3 of [1]. Test H₀: “The variables in causing do not Granger-cause those in caused” against H₁: “causing is Granger-causal for caused”.

Parameters:¶

caused : int or str or sequence of int or str¶

If int or str, test whether the variable specified via this index (int) or name (str) is Granger-caused by the variable(s) specified by causing. If a sequence of int or str, test whether the corresponding variables are Granger-caused by the variable(s) specified by causing.

causing=None¶

If int or str, test whether the variable specified via this index (int) or name (str) is Granger-causing the variable(s) specified by caused. If a sequence of int or str, test whether the corresponding variables are Granger-causing the variable(s) specified by caused. If None, causing is assumed to be the complement of caused (the remaining variables of the system).

signif=0.05¶

Significance level for computing critical values for test, defaulting to standard 0.05 level.

Returns:¶

results

Return type:¶

statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults

References