NonlinearIVGMM.fitgmm()

statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm

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

estimate parameters using GMM

Parameters:	start : array_like starting values for minimization weights : array weighting matrix for moment conditions. If weights is None, then the identity matrix is used
Returns:	paramest : array estimated parameters

Notes

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

uses scipy.optimize.fmin