You might be interested in Nick Winter's -survwgt-
"Description
survwgt creates sets of weights for replication-based variance estimation
techniques for survey data. These include balanced repeated replication (BRR)
and several version of the survey jackknife (JK*). These replication methods are
alternates to the Taylor series linearization methods used by Stata's svy-based
commands.
In addition, survwgt performs poststratification, raking, and non-response
adjustments to survey weights."
Scott
----- Original Message -----
From: "Arnold Levinson" <[email protected]>
To: <[email protected]>
Sent: Friday, September 19, 2003 9:04 AM
Subject: Re: st: nonresponse weights
> Although this is technically correct, analysts often take the simplifying
> approach of using one weight for analysis that is the product of design
> (selection-probability) weights, selection-specific nonresponse weights, and
> sample-to-population calibration (post-stratification) weights. Some
> software allows partitioning of these weight factors. The difference in
> estimation is usually negligible.
>
> Arnold H. Levinson, Ph.D.
> Associate Scientist
> AMC Cancer Research Center
> Assistant Professor
> University of Colorado School of Medicine
> 303.777-8801
> [email protected]
>
> Date: Thu, 18 Sep 2003 10:39:01 +0100
> From: "Patrick Sturgis" <[email protected]>
> Subject: st: nonresponse weights
>
> Someone has told me that the svy commands in stata can provide correct
> variance estimates for design weights but non for nonresponse (callibration)
> weights. Does anyone know more about this? Thanks in advance,
>
> Patrick
>
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
