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From | Dorothy Bridges <dbstata@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Additive logistic model |
Date | Sat, 21 May 2011 16:38:40 -0700 |
I'm wondering whether there's an easy (read: not coding from scratch) way to estimate an additive logistic model in Stata (like this, for example: http://gking.harvard.edu/files/abs/trip-abs.shtml; an R package can be found here http://sekhon.berkeley.edu/robust/). Essentially, this would require mlogit to read three (or more) variables representing choice for each observation, rather than just one categorical variable. For example: mlogit party1 party2 party3 x, where each of the party variables records the proportion of votes obtained by that party in a given district, and x is a vector of regressors. (If we had the vote and characteristics of each individual, of course, this would not be an issue (though I suppose then there would be bigger issues)). Many thanks, as always, for your thoughts. * * 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/