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Re: st: Re: interpret dydx as probabilities after logistic or xtlogit


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 
--------------------------
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