st: using post stratification weights

[Afif Naeem <afeef745@hotmail.com>]

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=
ation adjustment:
    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
post-stratification weighting adjustment. This procedure adjusts the sample=
 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













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