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About 2 weeks ago someone asked about under-dispersed Poisson models. I
referred them to the generalized Poisson and 2-parameter log-gamma models. Both
programs are in the data files that are posted with
Hilbe, Joseph (2007), Negative Binomial Regression, Cambridge Univ Press
Hardin, James and Joseph Hilbe (2007), Generalized Linear Models and
Extensions, second edition, Stata Press.
The log-gamma model is also posted to the SSC site, and can be downloaded
from there as well.
You do not have to buy the book(s) to download the data sets. You can get
the generalized Poisson command program by going to Stata's bookstore and
clicking on either book. If you go to Stata Press's web site
(www.stata-press.com/) there is a clearly indicated place where one can go to download the files
from any of the Stata Press books. If you have trouble with the program, feel
free to directly contact me at firstname.lastname@example.org. The generalized Poisson is
I get StataList communcations via the Digest, so only see them the day after
they are posted.
>From: Muhammad Anees <email@example.com>
>Sent: Jun 13, 2011 11:17 AM
>Subject: Re: st: NB-2 and NB-P Modelling using Stata 10
>Thank you Reg Jordon!
>Indeed the NBR by Hilbe is a great contribution to the area, and
>unfortunately the NBP model is estimated using LIMDEP 9 which I have
>not at the hands. So I wondered if one can estimate the NBP model
>using Stata. I wanted how to model it using the available stata
>commands for NBR.
>Hope to have a solution.
>On Mon, Jun 13, 2011 at 6:05 PM, <firstname.lastname@example.org> wrote:
>> Check out Hilbe, Negative Binomial Regression, 2nd ed., pp. 323-328.
>> reg jordan
>> -----Original Message-----
>>>From: Muhammad Anees <email@example.com>
>>>Sent: Jun 13, 2011 6:05 AM
>>>Subject: st: NB-2 and NB-P Modelling using Stata 10
>>>I have been estimating Negative Binomial 2 count panle model and need
>>>any suggestion on how can one estimate the NBP version using Stata 10,
>>>Suggestions and any idea of Stata command to be usable for NBP estimation.
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>>>* Â http://www.ats.ucla.edu/stat/stata/
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