The error message means exactly what it says and has nothing to do
with missing values. Here's an example with two control variables
(gender, agegp) and control total variables.
gender gender_tot
1 (male) 1,822
2 (female) 3000
agegp agegp_tot
1 (<=20) 1000
2 (21-40) 2000
3 (41+) 1644
If you then run
survwgt rake old_wt, ///
by(gender agegp) totvars(gender_tot agegp_tot) ///
gen(new_wt)
you will get exactly the error message that you quote, because the
population total summing over genders is 4822, but summing over age
groups is 4644.
This usually happens if control totals come from different sources.
Whatever the cause, you will have to adjust the totals so that they
sum exactly to the same value for each control variable ("dimension").
For example, you could multiply the gender_tot values by 4644/4822,
round to the nearest 1, then add or subtract to make the gender totals
sum exactly to 4644.
If you DID have missing values for gender or agegp, you would have to
create new control variables, say xgender xagegp, and the
corresponding tot variables, then impute values where the original
variables are missing. In other words. someone with missing age
would get assigned an xagegp value of 1, 2, or 3.
-Steve
On Wed, Jul 8, 2009 at 5:30 PM, Kate Kelsey<[email protected]> wrote:
> I am using STATA 9.
> Here is my code:
>
> . survwgt rake perwt, by(child sex ) totvar(tot_child tot_sex)
> generate(weight3) maxrep(1000)
>
> and here is the error I get:
>
> totals across dimensions 1 and 2 are not equal
>
> Why would I be getting this error?
--
Steven Samuels
[email protected]
18 Cantine's Island
Saugerties NY 12477
USA
845-246-0774
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