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| From | Muhammad Anees <anees@aneconomist.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: nbreg vs zinb |
| Date | Wed, 14 Mar 2012 22:42:20 +0500 |
I would prefer NB model. You? I suggest read the Long and Freese notes carefully. Anees On Wed, Mar 14, 2012 at 8:23 PM, Simon Falck <simon.falck@abe.kth.se> wrote: > Dear Statlist, > > I´m regressing the number of start-ups, using count data. > > The data is clearly not Poisson. > > Hence, I am using nbreg and zinb models. I have some concern regarding what is the most appropriate model in my situation. Both seem relevant. > > Using the Long/Freese command, accordingly: countfit $dept $xlist, maxcount(10) nbreg zinb > > The Tests and Fit Statistics indicate that both nb and zinb may be preferred if BIC, AIC and Voung is consulted, although p>0.05. > > ------------------------------------------------------------------------- > NBRM BIC= -2071.543 AIC= 2.714 Prefer Over Evidence > ------------------------------------------------------------------------- > vs ZINB BIC= -2046.607 dif= -24.935 NBRM ZINB Very strong > AIC= 2.720 dif= -0.005 NBRM ZINB > Vuong= 1.292 prob= 0.098 ZINB NBRM p=0.098 > > What would be your suggestion regarding choice of model in my situation? > > Thanks in advance, > /Simon > > * > * 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/ -- Best --------------------------- Muhammad Anees Assistant Professor/Programme Coordinator COMSATS Institute of Information Technology Attock 43600, Pakistan http://www.aneconomist.com * * 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/