Re: st: plot predicted effects after regression

[Thomas Trikalinos (.Mac) <ttrikalin@mac.com>]

So you need predicted values on the VariableOfInterest adjusting at the 
mean level of continuous covariates, and the reference category of 
categoric covariates.

A simple but not so elegant  solution is

. gen PredY = Constant + beta1* VariableOfInterest1 + 
beta2*MeanContinuousCovariate2   (or the corresponding analogue for a 
logit/probit/poisson etc regression)

[first run . egen MeanContinuousCovariate2 = mean(ContinuousCovariate2)]



Constant and beta1, beta2 are from the regression output. All 
Categorical covariate terms are zero (this would be your reference 
category, right?) and all the continuous covariate terms are 
incorporated using their mean level. This way you adjust for the 
reference category for categoric covariates and for the mean value of 
continuous covariates.

You most probably have more than one continuous covariates; just put in 
as many terms as you need. If you have different functions of the 
VariableOfInterest (eg quadratic or cubic terms) put them in as more 
VariablesOfInterest.

This is a crude workaround I use. I'm confident that people know 
something better and more elegant, though...

Cheers
 Tom


On May 8, 2004, at 1:37, yumin sheng wrote:


> Dear all,
>
>   This is a real simple question, but I just couldn't
> remember the command off the top of my head. Can
> anyone tell me how to plot the predicted effects of a
> variable after running the regressions, while holding
> all the other independent variables constant. Thanks a
> bundle!
>
> Best,
> yumin
>
>
> 	
> 		
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