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From | Maarten buis <maartenbuis@yahoo.co.uk> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: AW: st: AW: Fitted probabilities using prvalue for logit model |
Date | Fri, 16 Jul 2010 14:02:56 +0000 (GMT) |
--- On Fri, 16/7/10, Marc Michelsen wrote: > Does your statement mean that -prvalue- is not an > appropriate measure to determine the relative > importance of my additional dummy variables relative > to the benchmark model with its explanatory variables? Finding out how much a variable adds to a non-linear model is a surprisingly complicated issue. The probabilities will tend to be closer to 50% in the model without the added variables nett of what you would get from the normal confounding or intervening mechanisms. See for example: M.L. Buis (2010) "Direct and indirect effects in a logit model", The Stata Journal, 10(1), pp. 11-29. Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/