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| From | "JVerkuilen (Gmail)" <jvverkuilen@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: RE: xtmelogit |
| Date | Wed, 14 Nov 2012 09:45:32 -0500 |
On Wed, Nov 14, 2012 at 8:50 AM, Szabo S.M. <S.M.Szabo@soton.ac.uk> wrote: > Thank you for getting back. This is a large merged household level dataset with over 650,000 observations over 38 countries. There two levels only - household level and contextual (country) level. > > Thank you for the valuable feedback. I think I will give Stata another go... In general the execution time of a model is proportional to #params^2 + #observations. With your huge dataset this means you'll have long estimation times on any software you use. Sounds like you actually have three levels, not two, country and household. It's not obvious that countries are comparable either, so what you may want to do is try analyzing countries separately. Regardless with that huge a number of responses, you would probably benefit by randomly (or stratified randomly) subsampling down to a much more manageable dataset for your specification search. This gives you the benefit of working on a smaller dataset and also lets you do real cross validation of your model. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/