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The examples below use Stata 9. If you are using Stata versions 7 or 8, please see this page.NOTE: If you want to see the design effect or the misspecification effect, use estat effects after the command.
This example is taken from Levy and Lemeshow's Sampling of Populations.
page 200 ratio estimation under simple random sampling
use http://www.ats.ucla.edu/stat/books/sop/tab7pt1.dta, clear
svyset [pweight=wt1], fpc(totcnt)
pweight: wt1
VCE: linearized
Strata 1: <one>
SU 1: <observations>
FPC 1: totcnt
svy: ratio pharmexp/totmedex
(running ratio on estimation sample)
Survey: Ratio estimation
Number of strata = 1 Number of obs = 7
Number of PSUs = 7 Population size = 8
Design df = 6
_ratio_1: pharmexp/totmedex
--------------------------------------------------------------
| Linearized
| Ratio Std. Err. [95% Conf. Interval]
-------------+------------------------------------------------
_ratio_1 | .3191489 .0040067 .309345 .3289529
--------------------------------------------------------------
This example is taken from Lehtonen and Pahkinen's Practical Methods for Design and Analysis of Complex Surveys.page 102 Table 3.12 A simple random sample drawn without replacement from the Province'91 population prepared for ratio estimation.
input id str clu wt ue91 hou85 gwt adjwt smplrat 1 1 1 4 4123 26881 .5562 2.2248 .25 2 1 4 4 760 4896 .5562 2.2248 .25 3 1 5 4 721 3730 .5562 2.2248 .25 4 1 15 4 142 556 .5562 2.2248 .25 5 1 18 4 187 1463 .5562 2.2248 .25 6 1 26 4 331 1946 .5562 2.2248 .25 7 1 30 4 127 834 .5562 2.2248 .25 8 1 31 4 219 932 .5562 2.2248 .25 end
gen fpc = 32
svyset clu [pweight=wt], fpc(fpc)
pweight: wt
VCE: linearized
Strata 1: <one>
SU 1: clu
FPC 1: fpc
svy: ratio ue91 hou85
(running ratio on estimation sample)
Survey: Ratio estimation
Number of strata = 1 Number of obs = 8
Number of PSUs = 8 Population size = 32
Design df = 7
_ratio_1: ue91/hou85
--------------------------------------------------------------
| Linearized
| Ratio Std. Err. [95% Conf. Interval]
-------------+------------------------------------------------
_ratio_1 | .1602891 .0055256 .1472232 .173355
--------------------------------------------------------------
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