Re: [gov2001] weights

its an interesting complication. survey weights are designed to infer to a population different than the one that the unweighted sample aims for. matching changes the target quantity of interest even if there are no weights to begin with. so you have to decide what your QOI is. if its the one defined in matching, and its all *in sample*, then you don't really need weights. if its the original population, then you might not want to match at all, but you will have to deal with model dependence. if its the population defined by the units that are matched (i.e., those matched units are a random sample from this alternative population), then you probably want to use the weights. finally, if you're using CEM, it produces CEM weights which you should always use. If you wind up needing both CEM-weights and survey weights, you should be able to multiply them together. Gary -- *Gary King* - Albert J. Weatherhead III University Professor - Director, IQSS - Harvard University GKing.Harvard.edu <http://gking.harvard.edu/> - King(a)Harvard.edu - @kinggary<http://twitter.com/kinggary>- 617-500-7570 - Asst 495-9271 - Fax 812-8581 On Tue, May 17, 2011 at 11:06 PM, Leslie Finger &lt;lfinger(a)fas.harvard.edu&gt;wrote;wrote: _______________________________________________ gov2001-l mailing list gov2001-l(a)lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l