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Re: st: prediction after regress


From   "Eva Poen" <eva.poen@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: prediction after regress
Date   Fri, 22 Aug 2008 10:04:44 +0100

Shehzad,

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

Hope this helps,
Eva


2008/8/22 Shehzad Ali <sia500@york.ac.uk>:
> Hi listers,
>
> 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)
>
> I would appreciate any help.
>
> Thank you,
>
> Shehzad
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