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Re: st: nbreg vs zinb
From
Muhammad Anees <[email protected]>
To
[email protected]
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 <[email protected]> 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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