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"Cheng, Hsu-Chih" <email@example.com>
Tue, 14 May 2013 22:15:16 +0000
Dear Statalist veterans,
Stata offers four options of weights: frequency weights, analytic weights, sampling weights, and importance weights. Winship and Radbill (1994) suggest that un-weighted regression is preferred because it is less biased and more consistent than the weighted analysis, but their discussion is applicable only to sampling weights. If the values of weights in my data center around 1 (some values are smaller than 1; some are greater), is it possible that these are still sampling weights? Or, if the weights in the data are analytic or importance weights, what are the properties of using these weights in regression analysis? Any suggestion or direction to read more on this issue is highly appreciate.
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