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statsmodels.sandbox.regression.gmm.GMM.gradient_momcond

GMM.gradient_momcond(params, epsilon=0.0001, centered=True) [source]

gradient of moment conditions

Parameters:
  • params (ndarray) – parameter at which the moment conditions are evaluated
  • epsilon (float) – stepsize for finite difference calculation
  • centered (bool) – This refers to the finite difference calculation. If centered is true, then the centered finite difference calculation is used. Otherwise the one-sided forward differences are used.
  • TODO (looks like not used yet) – missing argument weights

© 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.GMM.gradient_momcond.html