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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