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Re: st: non-linear models not converging


From   James Bernard <jamesstatalist@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: non-linear models not converging
Date   Wed, 22 May 2013 20:56:51 +0800

Thanks both,

I am running -xtpoisson random effect.... it does not converge!

Thanks,
James


On Wed, May 22, 2013 at 8:53 PM, Kelvin Mulungu
<kelvin.statalist@gmail.com> wrote:
> Bernard,
>
> I had the same problem sometime last week. Am not sure this is a
> standard solution but it worked for me. Start simple- begin with
> simple models in the line of your problem and build on to the
> complicated model you want run and see where exactly the model will
> stop converging. Add variables in a step-wise fashion, i.e. start with
> what you think are the most crucial variables and lets say begin with
> two and keep adding the variables you think influence your Y.
>
> Finally, check your data to make sure it can handle that type of
> model. In some cases, the data may not allow you to run such a model.
>
> Hope this helps, though am not sure what type of non-linear model you
> are trying to run.
>
> On Wed, May 22, 2013 at 3:43 PM, James Bernard <jamesstatalist@gmail.com> wrote:
>> Hi all,
>>
>> I understand that the numeric methods used for estimation of models in
>> Stata (and any other package) may result in a model that does not
>> converge.
>>
>> Do you happen to know of any trick to help make the model converge? To
>> increase the chance of converging?
>>
>> Thanks,
>> James
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