stats.diagnostic.acorr_breusch_godfrey()

statsmodels.stats.diagnostic.acorr_breusch_godfrey

statsmodels.stats.diagnostic.acorr_breusch_godfrey(results, nlags=None, store=False) [source]

Breusch Godfrey Lagrange Multiplier tests for residual autocorrelation

Parameters:	results : Result instance Estimation results for which the residuals are tested for serial correlation nlags : int Number of lags to include in the auxiliary regression. (nlags is highest lag) store : bool If store is true, then an additional class instance that contains intermediate results is returned.
Returns:	lm : float Lagrange multiplier test statistic lmpval : float p-value for Lagrange multiplier test fval : float fstatistic for F test, alternative version of the same test based on F test for the parameter restriction fpval : float pvalue for F test resstore : instance (optional) a class instance that holds intermediate results. Only returned if store=True

Notes

BG adds lags of residual to exog in the design matrix for the auxiliary regression with residuals as endog, see Greene 12.7.1.

References

Greene Econometrics, 5th edition