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| From | Maarten Buis <maartenlbuis@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Dropping observations so sample is proportionate to population |
| Date | Thu, 8 Sep 2011 09:57:41 +0200 |
On Wed, Sep 7, 2011 at 7:38 PM, Michael Goodwin wrote: > I will be working with a new sample dataset and I would like to drop > observations in this new dataset so that the proportions of a > particulary dummy (in this case "type) are roughly equal to those > present in the population dataset. The goal of this exercise is to > have the distribution of "types" be as similar as possible to the > population dataset. Sounds to me like you want to do something similar to post-stratification weights, except that with these weights observations aren't dropped but weighted up or down such that the weighted proportions match known proportions in the population. You can compute post-stratification weights with Nick Winter's -survwgt-, which you can get by typing in Stata -ssc install survwgt-. Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/