statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm¶

NonlinearIVGMM.fitgmm(start, weights=None, optim_method='bfgs', optim_args=None)¶

estimate parameters using GMM

Parameters:¶

startarray_like

starting values for minimization

weightsndarray

weighting matrix for moment conditions. If weights is None, then the identity matrix is used

Returns:¶

paramestndarray

estimated parameters

Notes

todo: add fixed parameter option, not here ???

uses scipy.optimize.fmin