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| From | Steve Samuels <sjsamuels@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Need help on variance estimation using replication methods while incorporating raking |
| Date | Tue, 22 Nov 2011 20:33:08 -0500 |
Good point, Stas. I was wrong. Steve On Nov 22, 2011, at 8:22 PM, Stas Kolenikov wrote: To Steve: my understanding is that calibration, such as raking, does reduce variances for a well-designed survey with no non-response, when all of the survey error is the sampling error. Calibration then reduces the sampling error of descriptive summaries of the variables correlated with the calibration variables, but increases the sampling error of say regression or logistic regression estimates, as it increases variability of weights. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/