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From | Maarten buis <maartenbuis@yahoo.co.uk> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: probit vs. logit |
Date | Mon, 24 May 2010 23:36:46 -0700 (PDT) |
--- On Mon, 24/5/10, SR Millis wrote: > Logistic regression is generally preferred over the probit > model because of the wider variety of fit statistics. Also, > exponentiated logit coefficients can be interpreted as odds > ratios---which is not the case with probit coefficients. A general preference for one or the other is to a large extend discipline dependent. For example, within economics the probit is the "default" method. I like interpreting effects in terms of odds ratios as a way of identifying the scale, which is unidentified in a probit model (it is identified by fixing the residual variance to one, which has all kinds of nasty consequences when interpreting interaction terms). So, I tend to use the -logit-. -- 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/