usage: [theta, V, obj_value] =
  gmm_results(theta, data, weight, moments, momentargs, names, title, unscale, control, nslaves)

 inputs:
      theta: column vector initial parameters
       data: data matrix
     weight: the GMM weight matrix
    moments: name of function computes the moments
             (should return nXg matrix of contributions)
 momentargs: (cell) additional inputs needed to compute moments.
             May be empty ("")
      names: vector of parameter names
             e.g., names = char("param1", "param2");
      title: string, describes model estimated
    unscale: (optional) cell that holds means and std. dev. of data
             (see scale_data)
    control: (optional) BFGS or SA controls (see bfgsmin and samin). May be empty ("").
    nslaves: (optional) number of slaves if executed in parallel
             (requires MPITB)

 outputs:
 theta: GMM estimated parameters
 V: estimate of covariance of parameters. Assumes the weight matrix
    is optimal (inverse of covariance of moments)
 obj_value: the value of the GMM objective function

 please type "gmm_example" while in octave to see an example

Package: econometrics