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Re: st: prediction after regress


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: prediction after regress
Date   Fri, 22 Aug 2008 10:44:15 +0100 (BST)

--- 2008/8/22 Shehzad Ali <sia500@york.ac.uk>:
> > I am trying to get counterfactual predictions after regress.
> > Basically, people in my sample are either insured or uninsured. I
> > want to predict how much insured would spend if they were uninsured
> > (assuming their other characteristics remained the same) and vice
> > versa for the uninsured. Can -adjust- help in this situation? Here
> > is what I was trying but not sure if this is right:
> >
> > reg y $xvar insurance_dummy
> >
> > adjust insurance=1 if insurance==0, gen(counter_1)
> > adjust insurance=0 if insurance==1, gen(counter_0)

--- Eva Poen <eva.poen@gmail.com> wrote:
> Yes, this does what you want. Alternatively, you could temporarily
> recode your dummy variable and use -predict-:
> 
> replace insurance = 1-insurance
> predict counterfactual if e(sample)
> replace insurance = 1-insurance

also see http://www.stata.com/support/faqs/stat/adjust.html

-- Maarten

-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------

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