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Re: st: "how close is close?" -nnmatch- and reviewer complains


From   Adam Olszewski <adam.olszewski@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: "how close is close?" -nnmatch- and reviewer complains
Date   Wed, 25 Apr 2012 09:14:54 -0400

The balance test job can be done with -pstest- (part of the -pmatch2-
package) or -pbalchk- commands.
For the robustness check, look at -rbounds-,  -mhbounds- or -sensatt-
depending on what your situation calls for (binary vs. continuous
outcome mainly).

Adam Olszewski

On Wed, Apr 25, 2012 at 5:29 AM, Mirko Moro <mirko.moro@gmail.com> wrote:
> Dear Statalisters,
>
> I have estimated a regression like:
>
> Y = a + b_1T +b_2C + e,
>
> where T takes the value of 1 if the group was treated, 0 otherwise.
> The groups were randomly selected and a probit regression of T on a
> bunch o characteristics show that they are not different.
>
> The referee asked me to include matching estimators as robustness check.
>
> I use the –nnmatch- command in Stata that uses the algorithm presented
> in Abadie et al. And I presented the results using different numbers
> of neighbours (from 1 to 6).
>
> The referee then added:
>
> "On matching: the authors should provide more details on how good the
> matching is (How close is close? Are the covariates balanced after the
> matching? Are all the observations matched?)"
>
> So I guess I need to show him/her something. As -nnmatch- does not see
> to have any diagnostic, should I use some other codes, like
> -psmatch2-? Any suggestions?
>
> Mirko
>
>
> Abadie et al (2004) Implementing matching estimators for average
> treatment effects in Stata. The Stata Journal (2004) 4, Number 3, pp.
> 290–311.
> --
> Mirko Moro
> Lecturer in Economics
> Economics Division
> University of Stirling
> FK94LA
> Scotland (UK)
> t: +44(0)1786467479
> f: +44(0)1786467469
> e: mirko.moro@stir.ac.uk
>
> *
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