Hi,
I'm working with a dataset that uses some fancy survey sampling design, which I think I've finally understood. After using the svy-commands, and so on, I want to find the means and 95% CI of the variable by age. The command finds the mean, standard error, and 95% CI, but I have no idea how to access the confidence interval, even after a lot of googling!
Please the below MWE, where a dataset is included at the end.
Note that the svy: mean giver command gives me the mean, standard error and the 95% CI. I also want to store the 95% CI in a local/scalar whatever. What is the name of the matrix that the CI is stored in?
Where are the 95% CI stored?
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I'm working with a dataset that uses some fancy survey sampling design, which I think I've finally understood. After using the svy-commands, and so on, I want to find the means and 95% CI of the variable by age. The command finds the mean, standard error, and 95% CI, but I have no idea how to access the confidence interval, even after a lot of googling!
Please the below MWE, where a dataset is included at the end.
Code:
svyset cluster [pweight= wgt], strata(stratum) svy: mean giver
Code:
scalar mean = e(b)[1,1] //works di mean scalar CI_lowerbound = e(ci)[1,1] // does not work, in what matrix are the lower and upper bounds of the ci stored?
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float wgt byte(stratum cluster) float giver 26.538713 1 2 0 .14287305 2 1 0 13.541413 2 1 0 1.5445018 1 2 0 1.2428784 1 3 0 .14605893 1 3 0 41.5022 1 2 0 1.3487246 1 2 0 1.3300264 1 3 0 2.2500246 2 2 1 10.70082 2 2 0 26.03309 1 3 0 2.2902308 1 3 0 1.3894604 1 2 0 end
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