linearmodels.system.gmm.HomoskedasticWeightMatrix.weight_matrix

HomoskedasticWeightMatrix.weight_matrix(x: Sequence[ndarray[Any, dtype[float64]]], z: Sequence[ndarray[Any, dtype[float64]]], eps: ndarray[Any, dtype[float64]], *, sigma: ndarray) ndarray[Any, dtype[float64]][source]

Construct a GMM weight matrix for a model.

Parameters:
x: Sequence[ndarray[Any, dtype[float64]]]

List of containing model regressors for each equation in the system

z: Sequence[ndarray[Any, dtype[float64]]]

List of containing instruments for each equation in the system

eps: ndarray[Any, dtype[float64]]

Model errors (nobs by neqn)

sigma: ndarray

Fixed covariance of model errors. If None, estimated from eps.

Returns:

Covariance of GMM moment conditions.

Return type:

numpy.ndarray