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Re: st: Propensity Score Matching Between 3 Groups
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Propensity Score Matching Between 3 Groups
Date
Wed, 26 Feb 2014 19:06:48 +0000
Isobel is a student at my university. I advised her to post to the
list because I don't do what she is doing here, and then to revise her
post, so any flak for re-posting should be directed at me, not her.
Nick
[email protected]
On 26 February 2014 19:01, Isobel Williams <[email protected]> wrote:
> 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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