help survey
-------------------------------------------------------------------------------
Title
[SVY] survey -- Introduction to survey commands
Description
Stata's facilities for survey data are centered around the svy prefix
command. This overview organizes and presents the commands conceptually,
that is, according to the similarities in the functions that they
perform.
Survey design tools
svyset Declare survey design for dataset
svydescribe Describe survey data
Survey data analysis tools
svy The survey prefix command
svy estimation Estimation commands for survey data
svy: tabulate oneway One-way tables for survey data
svy: tabulate twoway Two-way tables for survey data
svy postestimation Postestimation tools for svy
estat svy Postestimation statistics for survey data, such
as design effects
svy brr Balanced repeated replication for survey data
brr_options More options for BRR variance estimation
svy jackknife Jackknife estimation for survey data
jackknife_options More options for jackknife variance estimation
Survey data concepts (see the [SVY] manual for information)
variance estimation Variance estimation for survey data
subpopulation estimation Subpopulation estimation for survey data
direct standardization Direct standardization of means, proportions,
and ratios
poststratification Poststratification for survey data
Tools for programmers of new survey commands
ml Maximum pseudolikelihood estimation for survey
data
svymarkout Mark observation for exclusion on the basis of
survey characteristics
Examples
Setup
. webuse multistage
Declare the data to be complex survey data
. svyset county [pw=sampwgt], strata(state) fpc(ncounties) || school,
fpc(nschools)
Estimate the average weight of high school seniors in our population
. svy: mean weight, over(sex)
Test the hypothesis that the average male is 30 pounds heavier than the
average female
. test [weight]male - [weight]female = 30
Also see
Manual: [SVY] survey
Help: [R] estat, [R] jackknife, [R] lincom, [R] nlcom, [R] predict,
[R] predictnl, [R] test, [R] testnl; [P] _robust
