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st: Propensity Score Matching Between 3 Groups
From
ir w <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Propensity Score Matching Between 3 Groups
Date
Wed, 26 Feb 2014 18:56:50 +0000
Hi,
I am trying to estimate a propensity score and then find the
average treatment effect on the treated. However, my sample has 3
groups:
Group A: Resides in intervention area, receives treatment
Group B: Resides in intervention area, doesn't receive treatment
Group C: Resides in non-intervention area, doesn't receive treatment
Thisis effectively like having 1 intervention group and 2 control groups: I
want to calculate a propensity score for treatment between Groups A and
B. I then want to apply this propensity score to Groups A and C to find
the average treatment effect on the treated.
I have seen this done in several economic papers, but never explained thoroughly. Is it
possible to do this in Stata, and if so, how?
If it is relevant, I am using a logit model and -psmatch2- (the user-written SSC programme) to estimate the propensity score.
Thanks!
Isobel Williams
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