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st: Using the results generated by the Matching Programs
From
Joseph Kwan <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Using the results generated by the Matching Programs
Date
Fri, 26 Jul 2013 03:02:52 +0000
Dear Statalists,
I used commands Nearest Neighbour Matching ( attnd & attnw ) and radius matching (attr) , Kernel matching method (attk.ado), Stratification method (atts.ado), and they were extremely slow. When I finally ended up with some results, I just could not use the matched observations and generate a control and treatment dummy variable.
I found out from Stata Journal that they would be stored as scalars, and the problem for me was what do I need to do to assess these results.
Scalars
r(nt*) number of treated used in the computation of att*
r(nc*) number of controls used in the computation of att*
r(att*) ATT obtained by att*
r(seatt*) analytical standard error for att*
r(tsatt*) analytical t statistic for att*
r(bseatt*) bootstrapped standard error for att*
r(btsatt*) bootstrapped t statistic for att*
r(mean1) mean outcome of matched treated for attk
r(mean0) mean outcome of matched controls for attk
This is the result from the matching. I would like to use the matched controls and treatment observations and generate a dummy.
n. treat. n. contr. ATT Std. Err. t
185 1157 1537.943 1016.874 1.512
These are the commands I am referring to and they are all described in the Stata Journal on the link above.
http://www.stata-journal.com/sjpdf.html?articlenum=st0026
Please help.
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