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# st: using post stratification weights

 From Afif Naeem To Subject st: using post stratification weights Date Fri, 10 Feb 2012 20:31:56 -0500

```I am working with a data set with post-stratification weights generated by =
the firm that conducted the survey. My sample shows some deviation from the=
population summary statistics=2C so I would like to use post-stratificatio=
n weights in Logit model. I have been trying to figure out myself for a cou=
ple of days how to do it=2C but havent made much progress in this regard. S=
o decided to seek some help here.

The post-stratification weights are generated through iterative proportiona=
l fitting. Quote from the survey hand-book itself is below:

"The following benchmark distributions are utilized for this post-stratific=
Gender (Male=2C Female)
Age (18-29=2C 30-44=2C 45-59=2C 60+)
Race/Hispanic ethnicity
Education category
Metropolitan Area (Yes=2C No)
Internet Access (Yes=2C No)

Comparable distributions are calculated using all completed cases from the =
field data. Since
study sample sizes are typically too small to accommodate a complete cross-=
tabulation of all the
survey variables with the benchmark variables=2C an iterative proportional =
fitting is used for the
data back to the
selected benchmark proportions. Through an iterative convergence process=2C=
the weighted
sample data are optimally fitted to the marginal distributions."

I have been looking at the STATA survey command to figure it out myself. Bu=
t havent made much progress. I would really appreciate if someone can help =
me out here.

Regards
Afif

text here

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