-mvprobit- is a simulation-based estimator. You need to fix the random
number generator seed, see the corresponding option of -mvprobit-.
However if you see drastic differences between runs, that probably
means that the simulation variability dominates the underlying
sampling variability, so you would want to increase the number of
-draws-. I remember having a discussion with Stephen Jenkins about the
number 5 which I found ridiculously low, but he in the end convinced
me that it works OK in most applications. Yours might be an exception
-- increase that number until the results with different -seed- values
become more stable.
On Mon, Jul 21, 2008 at 12:30 PM, U.G. Narloch <[email protected]> wrote:
> Dear Statalist Users,
>
> I use two do-files: the first one for generating the dataset from different
> dta-files and the second one for running the data analysis focusing on a
> mv-probit model drawing on the dataset generated from the first do-file.
>
> I have just realised that every time I replace the previous dataset.file by
> simply rerunning the first do-file the mv-probit results for exactly the
> same model specifiaction change. Coefficients and standard errors vary
> slightly, but the output for the correlation coefficients between error
> terms change significantly (sometimes even from negative to positive
> significance).
>
> As the output for other estimation commands (reg, probit, etc.) does not
> change I guess that this is due to the mvprobit. But I do not understand
> what could be the reason for this.
>
> Is there anyone having an idea what is going on?
>
> I am grateful for any comments!
>
> Thanks,
> Ulf Narloch
>
>
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
--
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: Please do not reply to my Gmail address as I don't check
it regularly.
*
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* http://www.ats.ucla.edu/stat/stata/
