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Re: st: nbreg vs zinb
From
[email protected]
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Subject
Re: st: nbreg vs zinb
Date
Wed, 14 Mar 2012 18:03:18 +0000
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 <[email protected]>
Sender: [email protected]
Date: Wed, 14 Mar 2012 22:42:20
To: <[email protected]>
Reply-To: [email protected]: 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 <[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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