#SVYSET STATA HOW TO#

The output is below, and it tells you the pweight, strata, and psu variables so you can confirm the rightВ variables have been chosen. For example, the svy: regressД¬ommand below looks just like a regular regress command, but it uses theВ information you have provided about the survey design and does the computations takingВ those into consideration. The three survey ways have already been appended and according to the survey manuals, the PSU/EA is the urban/rural placement while stratification is usually. I have a pooled data set of three waves of the Afrobarometer surveys that I'm struggling to declare as survey data using the svyset command. Once Stata knows about the survey via the svysetВ commands, you can use the svy: prefix using syntax which is quiteВ similar to the non-survey versions of the commands. Svyset for pooled cross-sectional data set. Notice that the PSU variable is given before the pweight,В which is given in square brackets. We use the svyset command to tell Stata about the features of the sampling design that we have. Note that the svyset command is very different in Stata 8 than it was in Stata 7. If you are not using Stata 9 or later, the syntax belowВ will not work. In Stata, we only need to give the population total, and Stata will make the necessary calculations to obtain the correct FPC. The way the svyset command is constructed is different between StataВ version 7, 8 and 9. Once this command has been issued, all you need to do for your analyses is use the svy: prefix before each command. The svyset command tells Stata about the design elements in the survey. Finally, the weighting variable ( pweight) is called wt. The svyset command Before we can start our analyses, we need to issue the svyset command.

Further, the sampling schemeВ included stratified sampling ( strata) based on ethnicity ( eth). Below, we tell Stata that the psu (primary samplingВ unit) is the household ( house). If you save the data file, Stata remembers themВ with the data file and you donвЂ™t even need to enter them the next time you useВ the data file. You can use the svyset commands to tell Stata aboutВ these things and it remembers them. We will show each of these three ways of conducting a t-test with survey data below. It is also easy to do a t-test using the svy: regress command. In this tiny example, house is theВ household, eth is the ethnicity, and wt is the weightingДЇor the person. There is no svy: ttest command in Stata however, svy: mean is an estimation command and allows for the use of both the test and lincom post-estimation commands. Set your survey weights o Stata 9: svyset psuvariable pweightweightvar, strata.

Define your subpopulation, e.g.: o female: 1 female 0 male o hisp: 1 Hispanic males 0 all others o teenm: 1 teen mothers with non-missing values on analysis variables 0 all others 2. Consider the data file we call svysmall shown below. If you are using survey commands in STATA 9: 1.

#SVYSET STATA HOW TO#

Here is a tiny example showing how to use the surveyВ commands in Stata.

Svyset stata