STATA 11 for Windows SAMPLE SESSION - Food Security Group ...
STATA 11 for Windows SAMPLE SESSION - Food Security Group ...
STATA 11 for Windows SAMPLE SESSION - Food Security Group ...
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Stata <strong>11</strong> Sample Session Section 4 – Tables and Graphs, Survey estimation<br />
Let’s run the same analysis with only the weight specified to<br />
see the difference.<br />
5. Click on the tab labeled SE/Cluster then click on the<br />
button labeled Survey settings .<br />
6. Click on the button labeled Clear settings<br />
7. Click on the Weights tab<br />
8. Click on the radio button next to Sampling Weight<br />
Variable.<br />
9. Click on the drop-down arrow <strong>for</strong> the Sampling<br />
weight variable: box and select hhwgt<br />
10. Click on the copy button, switch to the do-file<br />
editor, paste the command, switch back to the dialog<br />
box and click on Ok.<br />
<strong>11</strong>. Click on the task svy:total -… on the <strong>Windows</strong> task<br />
bar.<br />
12. Click on the copy button, switch to the do-file<br />
editor, paste the command, switch back to the dialog<br />
box and click on Ok<br />
Note, we have gotten the same point estimate as the designbased<br />
estimate, but the standard errors are much smaller. The<br />
second table does not account <strong>for</strong> the sampling design.<br />
. svyset _n [pweight=hhwgt], vce(linearized) singleunit(missing)<br />
pweight: hhwgt<br />
VCE: linearized<br />
Single unit: missing<br />
Strata 1: <br />
SU 1: <br />
FPC 1: <br />
. svy linearized : total maizea ricea milleta sunfa<br />
(running total on estimation sample)<br />
Survey: Total estimation<br />
Number of strata = 1 Number of obs = 6601<br />
Number of PSUs = 6601 Population size = 807414<br />
Design df = 6600<br />
--------------------------------------------------------------<br />
| Linearized<br />
| Total Std. Err. [95% Conf. Interval]<br />
-------------+------------------------------------------------<br />
maizea | 649230.9 14013.13 621760.6 676701.2<br />
ricea | 14472.95 1327.559 <strong>11</strong>870.5 17075.39<br />
milleta | 61770.91 3942.684 54041.97 69499.84<br />
sunfa | 24319.15 1907.919 20579.01 28059.29<br />
--------------------------------------------------------------<br />
<strong>11</strong>2