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Re: st: What does 'ssss' mean with replication dots?


From   Stas Kolenikov <skolenik@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: What does 'ssss' mean with replication dots?
Date   Sat, 7 Nov 2009 14:14:37 -0600

Note that you would probably need to modify your degrees of freedom
when that happens. Does -svy jackknife- do that automatically? In
Philip's example, it looks like the subpopulation is wholly contained
in the second wave with 60 PSUs.

On Fri, Nov 6, 2009 at 5:59 PM, Jeff Pitblado, StataCorp LP
<jpitblado@stata.com> wrote:
> Philip Burgess <philip.burgess.uq@gmail.com> is using -svy jackknife- and
> noticed that there were 's' characters sprinkled in with the dots displayed
> for each jackknife replicate:
>
>> I have two independent complex survey designs, one with 30 JK
>> replicate weights (survey conducted in 1997), the other with 60
>> (survey conducted in 2007).
>>
>> I have combined these files in a manner similar to the Californian
>> Health Interview Surveys - http://www.chis.ucla.edu/methodology.html
>> (see the Methodology Paper on Examining Trends ... - this has detailed
>> instructions regarding how to combine such data with STATA).
>>
>> So, my combined file has 90 replicate weights.
>>
>> I svyset with the following command:
>>
>> - svyset [pweight=mhsfinwt], jkrweight(wpm0101 - wpm0190,
>> multiplier(1)) vce(jackknife) mse -
>>
>> When processing this design, for say, estimating propotions for the two surveys:
>>
>> - svy jackknife : proportion mhpsyo12, over(nsmhwb)
>> (running proportion on estimation sample)
>>
>> Jackknife replications (90)
>> ----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
>> ..................................................    50
>> ..........ssssssssssssssssssssssssssssss
>>
>> What does the 'ssss...' mean?
>
> 's' is one of those special codes like 'e' and 'n'; 'e' and 'n' are documented
> with the -dots- option in -[SVY] svy jackknife-.
>
> 's' indicates that the corresponding replicate contributes nothing to the
> variance estimate because the omitted PSU does not overlap with any
> observations in the subpopulation.  For example, in the delete-1 jackknife
> this will occur when a PSU is in the estimation sample but is outside the
> subpopulation sample.
>
> When replicate weight variables are -svyset-, this can only happen if the
> values of the replicate weight variable are equal to the original sampling
> weight within the estimation sample.
>
> Given Philip's -svyset- command, it appears that -- within the estimation
> sample -- the last 30 replicate weight variables do not differ from the
> -mhsfinwt- variable.
>
> In a future update, we will modify the help file for -svy jackknife- to
> document the 's' character (like the 'e' and 'n' "dots").
>
> --Jeff
> jpitblado@stata.com
> *
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>



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

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