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st: Re: Propensity Score Matching


From   niken kusumawardhani <koesoemawardhanie@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Re: Propensity Score Matching
Date   Sun, 17 Jun 2012 22:49:23 -0700 (PDT)

Thanks Austin for taking the time answering my question.. I will consider
your advice!

On the other note, I have another question on the command psmatch2.

What does _weight really contain? To my knowledge, it holds the frequency a
particular observation was used as a match (and the value will be missing if
the observation was not a control or used as a match). Does it mean that if
we run "regress y treatment variable if _weight!=." it will produce the same
result as "psmatch2 treatment, outcome(y) norepl" for every matching
algorithm? 

I have tested it and the two commands produce the same result for 1:1
matching but not for any other algorithm... What should I do with _weight in
a regression command to replicate the result of psmatch2?

I tried for kernel and radius matching, the command that produces result
similar to psmatch2 is:

regress y treatment variable [aw=_weight] if _weight!=.

but it's not exactly the same anyway.. any suggestion?

Any help is very much appreciated.

Thanks!

Niken

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