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| From | Richard Williams <richardwilliams.ndu@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: VIF and binary predictors? |
| Date | Fri, 05 Aug 2011 22:57:03 -0500 |
At 09:41 PM 8/5/2011, Pavel Roshanov wrote:
Dear Statalist, I'm trying to detect multicollinearity in a dataset with binary predictors. I have suggestions that VIF works just fine in this situation but when I see the formula VIF=1/(1-R^2) I am not convinced. Does anyone have any insight here?
I am not sure why you are not convinced, but if you want a few more measures try Phil Ender's -collin- command, available from the UCLA site.
------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * 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/