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st: nbreg vs zinb
From
Simon Falck <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: nbreg vs zinb
Date
Wed, 14 Mar 2012 15:23:48 +0000
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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