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Re: st: nbreg vs zinb


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
>
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-- 

Best
---------------------------
Muhammad Anees
Assistant Professor/Programme Coordinator
COMSATS Institute of Information Technology
Attock 43600, Pakistan
http://www.aneconomist.com

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