Dear Statalist,
I am doing a complex estimation using the Generalised Method of Moments GMM.
The iterations before convergence are many and my laptop is having some troubles is dealing with such a heavy task.
Also the warnings "backed up" and "not concave" show up in every iteration.
Are there any options available to ease the job?
I have in mind for instance lowering the tolerance of the parameters/function/scale gradient or changing the working algorithm.
In that case, which gains and drawbacks should I expect?
Thanks for the attention and the support.
Regards
Luca
I am doing a complex estimation using the Generalised Method of Moments GMM.
The iterations before convergence are many and my laptop is having some troubles is dealing with such a heavy task.
Also the warnings "backed up" and "not concave" show up in every iteration.
Are there any options available to ease the job?
I have in mind for instance lowering the tolerance of the parameters/function/scale gradient or changing the working algorithm.
In that case, which gains and drawbacks should I expect?
Thanks for the attention and the support.
Regards
Luca