Ang: Re: Re: st: calibrated weights

[Tomas Lind <tomas.lind@sll.se>]

Thanks, Stas, Nick and Steve for input on this issue. 

I will try the tips. 

/Tomas



-----owner-statalist@hsphsun2.harvard.edu skrev: ----- 
Till: statalist@hsphsun2.harvard.edu
Från: Stas Kolenikov 
Sänt av: owner-statalist@hsphsun2.harvard.edu
Datum: 2012-10-25 18:28
Ärende: Re: Re: st: calibrated weights

Nick is right -- the easiest workaround is to have something like

tempvar female_in_agegrp

gen byte `female_in_agegrp' = .
forvalues g=1/`number_of_agegroups' {
   replace `female_in_agegrp' = female * (age_group == `g')
   calibest `female_in_agegrp' , < calibest options >
}

Of course, -calibest- is extremely unwieldy in that it does not
provide the standard estimation results in e(b), e(V), etc. In my
Stata Journal article
(http://stata-journal.com/article.html?article=st0187), I discuss how
to effectively use calibrated estimators via the survey bootstrap in a
way that would be compliant with Stata estimation / post-estimation
paradigm.

On Thu, Oct 25, 2012 at 6:20 AM, Nick Cox <njcoxstata@gmail.com> wrote:
> I haven't been following this, but setting aside -svy- complications,
> the mean proportion is just the mean of any expression yielding 0 or
> 1.
>
> sysuse auto
> egen pr_foreign = mean(foreign), by(rep78)
> tabdisp rep78, c(pr_foreign)
>
> Nick
>
> On Thu, Oct 25, 2012 at 12:12 PM, Tomas Lind <tomas.lind@sll.se> wrote:
>> I have downloaded -calibest- from SSC. There is also a companion ado-file -calibrate- (on SSC) that creates the calibrated weights. In my case I have got a dataset with calibrated weights.
>>
>> I have tried egen with the group() extension but in that case all new subgroups (agegroup by sex) sum to 100%. I want to know the proportion of women in each agegroup (for example).
>>
>> /Tomas
>>
>>
>>
>>
>>
>> -----owner-statalist@hsphsun2.harvard.edu skrev: -----
>> Till: statalist@hsphsun2.harvard.edu
>> Från: Steve Samuels
>> Sänt av: owner-statalist@hsphsun2.harvard.edu
>> Datum: 2012-10-25 00:05
>> Ärende: Re: st: calibrated weights
>>
>> Tomas Lind:
>>
>> Please give a link/source to the unofficial command -caibest- as the FAQ request.
>> To answer your question: create a combination variable that has age-gender categories.
>> You can use  -egen- with the group() extention  or -groups-, by Nick Cox, available
>> from SSC, which will save a data set with the combinations.
>>
>> Steve
>>
>> On Oct 24, 2012, at 7:34 AM, Tomas Lind wrote:
>>
>> Hi Statalist
>>
>>
>> Question about how to analyze survey data with calibrated weights.
>>
>>
>> There is an ado-file calibest that makes it possible to analyze survey data with calibrated weights (ref below). However, it seems impossibly to use calibest to calculate mean values and proportions for men and women _subdivided_ on agegroups (for example). Like you usually do using -over()- or -by- options.
>>
>> Is there a way around this problem?
>>
>>
>> Yours
>> Tomas Lind
>>
>>
>> I´m using Stata 11 on a PC.
>>
>>
>> Reference
>> Deville, J.-C., and C.-E. Särndal.  1992.  Calibration estimators in survey
>>        sampling.  Journal of the American Statistical Association 87:
>>        376-382.
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-- 
-- Stas Kolenikov, PhD, PStat (SSC)  ::  http://stas.kolenikov.name
-- Senior Survey Statistician, Abt SRBI  ::  work email kolenikovs at
srbi dot com
-- Opinions stated in this email are mine only, and do not reflect the
position of my employer

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