Tomas,
you would need to -append- these data sets (assuming the variables
have the same name), and re-declare the survey design to have the
super-strata of the year of data. So if you have psu, samplwt, strata,
year on top of your variables, you could
use data99
gen year = 1999
* unless it is already there
append data07
replace year = 2007 if missing(year)
* unless it is already there
egen strataXyear = group(year strata)
svyset psu [pw=samplwt], strata(strataXyear)
svy: mean hearingstatus , over( year agegrp )
lincom whatever you need
I am sure there are -table- analogues of that weird -svy: mean-
followed by -lincom-, and you probably know them better than I do :).
The above analysis assumes you have independent samples in 1999 and
2007. If you don't (e.g. you have longitudinal data), things are more
complicated. But since you have different strata, you probably have
independent samples. Check with your data collecting agency.
On Thu, Aug 27, 2009 at 10:17 AM, Tomas Lind<[email protected]> wrote:
> Dear Statalisters
>
> Comparing surveys from two different years with DIFFERENT pweight´s and
> stratum each year.
>
> Does anyone have a Statasolution to this problem?
>
> Is there a difference in hearing between 1999 and 2007 (overall and for
> specific agegroups)?
>
> The columns prop1999 and prop2007 show the proportion of people with
> impaired hearing.
> I have all the individual data behind this aggregated table in my dataset
> (id, age, hearingstatus).
> Table is constructed from two different datasets with different svyset (two
> different analysis).
>
> Agecat Prop1999 Prop2007
> 18-29 0.09 0.10
> 30-39 0.10 0.11
> 40-49 0.15 0.16
> 50-59 0.23 0.27
> 60-65 0.33 0.35
>
>
> Tomas
>
>
> *
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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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