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Re: st: Marginal Effect


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Marginal Effect
Date   Wed, 5 Jan 2011 18:46:33 +0000 (GMT)

--- On Wed, 5/1/11, sazas  wrote:
> I estimated a random effect probit model using xtprobit in
> stata 11.
> 
> Marginal effects using margins, dydx(*) predict(pu0)
> assumes u_i =0 which l think implies rho =  0 since rho = 0.
> Please is there any command that l can use to change this
> assumption?

It is not true that rho (proportion of variance due to group
level variance) is assumed to be 0. The way to think about it 
is that there is an (unobserved) group level variable added 
to your model and that you compute your marginal effects for 
individuals that have an average value on this variable. I do 
not think that is a too problematic assumption, but there is 
always a bit of friction when using marginal effects for this 
type of models. In essence you are trying to fit a linear 
line to a non-linear one, which will often (but not always) 
produce an ok summary of the non-linear line, but it will 
never be exactly right. If you are a purist, then you should 
probably use -xtlogit- and interpret the odds ratios rather 
than the marginal effects. In practice, I would use which ever
model and effect size I prefer, and look at tables of 
predicted probabilities and odds, look at graphs of predicted 
probablities and odds and look if I can (approximately) match 
those with the effect sizes I found. If you can do that, then 
there isn't much of a problem.

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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