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statsmodels.sandbox.regression.gmm.LinearIVGMM.fitgmm

LinearIVGMM.fitgmm(start, weights=None, optim_method=None, **kwds) [source]

estimate parameters using GMM for linear model

Uses closed form expression instead of nonlinear optimizers

Parameters:
  • start (not used) – starting values for minimization, not used, only for consistency of method signature
  • weights (array) – weighting matrix for moment conditions. If weights is None, then the identity matrix is used
  • optim_method (not used,) – optimization method, not used, only for consistency of method signature
  • **kwds (keyword arguments) – not used, will be silently ignored (for compatibility with generic)
Returns:

paramest – estimated parameters

Return type:

array

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitgmm.html