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Re: st: Generalized lineal models with survey data


From   Stas Kolenikov <[email protected]>
To   [email protected]
Subject   Re: st: Generalized lineal models with survey data
Date   Tue, 27 Jul 2010 17:14:59 +0100

Most likely, you run out of degrees of freedom. They should be
reported in -svy:- output, and if you have more regressors/model
parameters than the design d.f., you will have missing standard
errors.

On Tue, Jul 27, 2010 at 4:51 PM, Paolina Medina
<[email protected]> wrote:
> Thank you very much Steve for your help, in fact i have tried to run
> the svy: nbreg command, but i am encountering some problems, i hope
> you can help me:
>
> This is the regression that i run:
>
> svy: nbreg  ncels residents numradios nTVs dfixedphone  delectricity
> ncompus dinternet elementary highschool phd workingpeople e1 e2 e3 e4
> e5 e6 e7 e8 e9 e10 e11 e12 e13 e14 e15 e16 e17 e18 e19 e20 e21 e22 e23
> e24 e25 e26 e27 e28 e29 e30 e31 e32 estrato1 estrato2 estrato3
> estrato4, log
>
> I am trying to estimate coefficients for the number of cell phones in
> mexican households using a technology specialized survey. I use some
> socioeconomic variables, 32 dummies one for each state in mexico, and
> 4 dummies indicating the size of the town.
>
> But in the first stage of the regresion, below the coefficients estimates i get:
>
> -------------+----------------------------------------------------------------
>    /lnalpha |  -23.93108          .                             .           .
> -------------+----------------------------------------------------------------
>       alpha |   4.04e-11          .                             .           .
> ------------------------------------------------------------------------------
> Likelihood-ratio test of alpha=0:  chibar2(01) =    0.00 Prob>=chibar2 = 1.000
>
>
> And in the survey results, below the coefficients estimates i get
>
> -------------+----------------------------------------------------------------
>    /lnalpha |  -23.93108          .                             .           .
> -------------+----------------------------------------------------------------
>       alpha |   4.04e-11          .                             .           .
> ------------------------------------------------------------------------------
>
> I understand that stata wont calculate the LR test for alpha when it
> comes to survey data, but as you may see it is not even giving me the
> confidence interval!
>
> Do you happen to know what is happening?
>
> Thank you very very much in advance!
>
> Regards!
>
> PM
>
>
>
>
>
>
>
> On Mon, Jul 26, 2010 at 10:24 PM, Steve Samuels <[email protected]> wrote:
>> In Version 9,  -svy: nbreg- and -svy: gnbreg- will work for you. Both
>> fit generalizations of the Poisson with extra dispersion. -svy: glm-
>> was not available until Stata 10.
>>
>> Steve
>>
>>
>> On Mon, Jul 26, 2010 at 10:00 PM, Paolina Medina
>> <[email protected]> wrote:
>>> Dear statalisters,
>>> Is it possible to perform a regression using glm with survey data in stata 9?
>>> I have count data with overdispersion (mean 1.21, variance 1.70).
>>> Thank you very much in advance,
>>> PM
>>> *
>>> *   For searches and help try:
>>> *   http://www.stata.com/help.cgi?search
>>> *   http://www.stata.com/support/statalist/faq
>>> *   http://www.ats.ucla.edu/stat/stata/
>>>
>>
>>
>>
>> --
>> Steven Samuels
>> [email protected]
>> 18 Cantine's Island
>> Saugerties NY 12477
>> USA
>> Voice: 845-246-0774
>> Fax:    206-202-4783
>>
>> *
>> *   For searches and help try:
>> *   http://www.stata.com/help.cgi?search
>> *   http://www.stata.com/support/statalist/faq
>> *   http://www.ats.ucla.edu/stat/stata/
>>
>
>
>
> --
> Paolina Medina Palma
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>



-- 
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.

*
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