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re: st: Should rim weights be taken as sampling weights in SVYSET, say?
A cursory web search shows that 'rim weighting" is a synonym for
sample balancing by iterative proportional fitting, and is also known
as "raking", or "ratio raking". I 've never seen the term in a text
book, but it
appears to be in common use. Raking is a procedure for adjusting the
sample weights so that the sample marginal proportions match the
target population marginal proportions on a number of
categorical characteristics at the same time: age, gender,
race..... . These weights are constructed by starting with the
sampling weights and doing further adjustments.
This procedure removes much non-response or sampling bias arising
from failure of the sample to reflect these population
characteristics. It does not NOT remove biases
due to differences between responders and non-responders unrelated to
age, gender... race.
Use of these weights is standard in survey sampling--so go ahead and
Note: Post-stratification in STATA as implemented adjusts for only
one characteristic and, so, is not an implementation of a raking
adjustment. However Nick Winter at Cornell has written an excellent
raking program 'SURVWGT,' which can be found by a "search, all."
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