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| From | David Kantor <kantor.d@att.net> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Propensity Score Matching with Multiple Categorical Variables with Multiple Categories...Dummy Variables? |
| Date | Fri, 13 Jul 2012 08:16:31 -0400 |
At 11:06 PM 7/12/2012, TA Stat (Pete) wrote:
Dear All In PS matching, I am wondering about how to handle multiple categorical variables e.g. 15 variables. Each variable has multiple categories e.g. 3-5 categories. Do I have to create dummy variables, (n-1 for each variable), for all those categorical variables before calculating propensity score?
I believe that is the correct way to do it.An alternative is that for some selected variables, require an exact match. But that only works if you have other variables that are either...
quantitative, or categorical, but transformed into a set of dummy variables HTH --David * * 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/