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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

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