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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 23:33:50 +0500 |
Thanks Clive, I am sure it is my post who you pointed at. Being a non-native English student, I would be really careful for the next time. The complete reference is as: LONG, J.S. and Freese, J., 2001. Regression Models for Categorical Dependent Variables Using Stata, Stata Corporation Thanks Again Anees On Wed, Mar 14, 2012 at 11:03 PM, <clivelists@googlemail.com> wrote: > You've now been on the list long enough not to scatter about names and years that aren't fully referenced. Read the Statalist FAQ again if you're not sure. Going by most of your posts, using a spellchecker wouldn't go amiss, either... > > C > > -----Original Message----- > From: Muhammad Anees <anees@aneconomist.com> > Sender: owner-statalist@hsphsun2.harvard.edu > Date: Wed, 14 Mar 2012 22:42:20 > To: <statalist@hsphsun2.harvard.edu> > Reply-To: statalist@hsphsun2.harvard.eduSubject: Re: st: nbreg vs zinb > > 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/ > > * > * 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/