Post stratification weights should be used in the same way you use
probability weights.
If you have both probability weights and post stratification weights,
then you should multiply them together (unless the postratification
weights already reflect that multiplication).
Post stratification is used to ensure that certain quantities match up
to known population totals. For example, if your sample estimates that
there are 55% women in the population, but from a census (or other
reliable source) you know it's really 51%, then you apply weights
post-stratification weights such that they sum to the right number (here
51%).
Matt
Henrique Neder wrote:
I corrected the message because it had made a mistake when referring to
post-estimation. In reality it is post-stratification. The right message
is:
Did anybody already work with post-stratification in complex survey
samples (cluster sampling) using Stata or know some work about this? I
have some data - a household survey using two-stage sampling with
weights and "post-stratification factors" (I don�t know if this is the
correct name), the identificator of PSUs and Strata and I want to
estimate confidence intervals for poverty indicators. The survey (svy)
Stata doesn't have sub-commands to consider post-stratification.
Thanks in advance
Henrique Neder
Instituto de Economia
Universidade Federal de Uberl�ndia
Minas Gerais - Brazil
[email protected]
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--
Matt Schonlau
310-393-0411 x7682
http://www.rand.org/methodology/stat/members/matt/
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