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| From | "Seyi Soremekun" <Seyi.Soremekun@lshtm.ac.uk> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | Re: st: Re: interpret dydx as probabilities after logistic or xtlogit |
| Date | Mon, 11 Jul 2011 17:43:22 +0100 |
excellent, thanks Maarten! thought it might be something elementary.... Seyi >>> Maarten Buis <maartenlbuis@gmail.com> 7/11/2011 1:09 PM >>> On Mon, Jul 11, 2011 at 1:25 PM, Seyi Soremekun wrote: > I have a model with a categorical (binary) by continuous interaction, which I estimate using logistic regression or RE logistic regression thus: <snip> > odds ratio for quintile (when intvn==0) = 0.4446739 > dydx for quintile (over intvn when =0) = -0.1383194, exponentiated to 0.87 You do not exponentiate marginal effects but interpret them directly as reported, so a unit change in quintile when intvn == 0 leads to a decrease in probability of 14 percentage points (-0.1383194 * 100% = -14%). 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/ * * 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/