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RE: st: Saving svy mean estimates?


From   "Kanter, Rebecca" <rkanter@jhsph.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Saving svy mean estimates?
Date   Tue, 7 Apr 2009 20:52:15 -0400

Thanks again everyone...

Now this may be asking too much, but following the below example of saving the matrix of mean values to variables...does anyone know how to save their corresponding standard errors (SEs) as a matrix and/or variable(s)? Thanks.
[prior example:]
    webuse highschool, clear
    svyset county [pweight=sampwgt], strata(state) vce(linearized)
    svy: mean weight, over(sex)
    matrix means =  e(b)
    matrix list means
    svmat means     // <-- This line creates two new variables
________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Matt Spittal [Matt.Spittal@cancervic.org.au]
Sent: Tuesday, April 07, 2009 7:46 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Saving svy mean estimates?

Rebecca,

You can use the -svmat- command to create a variable from a matrix.  From
the examples given previously

    webuse highschool, clear
    svyset county [pweight=sampwgt], strata(state) vce(linearized)
    svy: mean weight, over(sex)
    matrix means =  e(b)
    matrix list means

    svmat means     // <-- This line creates two new variables

I hope this is helpful.

-- Matt
matt.spittal@cancervic.org.au






On 8/4/09 10:30 AM, "Kanter, Rebecca" <rkanter@jhsph.edu> wrote:

> Joao,
> Thanks for your response; that helps a bit. But what I'm trying to get at is
> how to store the e(b) (i.e. mean values) into a variable [the same way as if I
> did egen newvar=mean(var), without acct for svy design]. Do you or someone
> else know how to do this?
> Many thanks,
> Rebecca
> ___________________________________________
> Rebecca M. Kanter
> PhD Candidate
> Johns Hopkins Bloomberg School of Public Health
> Department of International Health
> Center for Human Nutrition
> ________________________________________
> From: owner-statalist@hsphsun2.harvard.edu
> [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Joao Ricardo F. Lima
> [jricardofl@gmail.com]
> Sent: Tuesday, April 07, 2009 7:13 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: Saving svy mean estimates?
>
> Rebecca,
>
> the svy mean estimates are saved in e(b)
>
> *********begin example*************
> webuse highschool, clear
> svyset county [pweight=sampwgt], strata(state) vce(linearized)
> svy: mean weight, over(sex)
> eret li
> mat li e(b)
> *********end example*************
>
> Sorry but I didn´t understand the second part of your question.
>
> HTH,
>
> Joao Lima
>
> 2009/4/7 Kanter, Rebecca <rkanter@jhsph.edu>:
>> Hi,
>>
>> I am using the svy mean command to calculate survey weighted state-specific
>> mean estimates of different Mexican state characteristics, for example the
>> percent of the population in a specific Mexican state that is indigenous
>>
>> Thus, I use the following command line: svy: mean indigena, over(state)
>>
>> And want to save these mean estimates (by state) as I would if I did an by
>> state, sort: egen mean(indigena)--that was not accounting for the survey
>> design; so my question is, how do I save the mean estimates by state from the
>> above svy command line: svy: mean indigena, over(ent)??  And/or how do i save
>> mean estimates for this that does take the svy pweight into account in the
>> proper manner (if I can't do it with svy: mean)? [I want to then drop people
>> from my dataset but want to have all the state estimates of characteristics
>> saved as variables before doing so].
>>
>> Thanks,
>> Rebecca
>>
>>
>> ___________________________________________
>> Rebecca M. Kanter
>> PhD Candidate
>> Johns Hopkins Bloomberg School of Public Health
>> Department of International Health
>> Center for Human Nutrition
>>
>> *
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>>
>
>
>
> --
> ----------------------------------------
> Joao Ricardo Lima, D.Sc.
> Professor
> UFPB-CCA-DCFS
> Fone: +5538387264913
> Skype: joao_ricardo_lima
> ----------------------------------------
>
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