Christina M <[email protected]>:
A straightforward approach is to skip -svy- altogether, and
-summarize- using aweights, which will give you the same point
estimates as the -svy- estimator. In your example, you might:
svyset
local w=r(wvar)
levelsof evyr, local(y)
g mpc=.
foreach v of local y {
su pcoop if officemh==1 & evyr==`v' [aw=`w'], meanonly
replace mpc=r(mean) if officemh==1 & evyr==`v'
}
bys evyr: replace mpc=. if _n>1
line mpc evyr, sort
A faster approach would use -collapse- and aweights, though again you
would only get point estimates, not SEs or CIs that way.
But you can also get any quantities you need to graph from the survey
estimator using a similar -foreach- loop. Try -eret li- and -mat li
e(b)- to see where the numbers are stored.
As for the variance estimates, note that -mean- is not intended for
working with percentages. A confidence interval on a percentage
should in general not be symmetric--think about an point estimate of
0.5% with a SE of 1% where the CI should not include zero (the true
proportion cannot be zero when the observed proportion is positive).
You may want to look at -help svy_proportion- if the underlying data
is categorical, or -help svy_ratio- if it is a ratio, say of some part
of cost to total cost.
On 6/27/07, Daw, Christina M <[email protected]> wrote:
How does one make a graph (other than in excel) following a -svy- command such as the following example, in this case a line graph with year on x-axis and mean OOP% (pcoop) on the y-axis? Is there a source for such instructions, as well as making graphs following regressions from svy commands? The -svy- commands do not support -egen- for example.
. svy, subpop(officemh): mean pcoop, over(evyr)
Survey: Mean estimation
(excerpt)
Number of strata = 125 Number of obs = 1219285
--------------------------------------------------------------
| Linearized
Over | Mean Std. Err. [95% Conf. Interval]
-------------+------------------------------------------------
pcoop |
1996 | .5349664 .0351149 .4658117 .6041212
1997 | .5258085 .0258162 .4749664 .5766505
1998 | .4167822 .0344434 .3489499 .4846146
1999 | .4005118 .0274386 .3464746 .454549
2000 | .3795007 .0261307 .3280393 .4309621
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