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re: st: Propensity score matching
From
"Ariel Linden, DrPH" <[email protected]>
To
<[email protected]>
Subject
re: st: Propensity score matching
Date
Thu, 19 Jul 2012 11:30:01 -0400
The simple answer is that matching is intended to create balance between
treated and controls on pre-intervention covariates.
For your situation (as I understand it), the companies who issue bonds
should be comparable to those firms who do not issue bonds. Here
comparability is determined by ensuring that they balance on covariates that
are measured before they start issuing bonds, since the "issuing of bonds"
appears to be the intervention.
Your additional comments "both sample varies between 2007 and 2011" and "how
should the dataset look" gives us no meaningful information to help you. You
should think carefully about how you pose a question if you would like to
get a meaningful response.
Ariel
Date: Wed, 18 Jul 2012 19:57:53 +0100
From: "KASHEFIPOUR E." <[email protected]>
Subject: st: Propensity score matching
Hi,
I have a question regarding the PSM estimation. I want to investigate
the companies who issue bonds between 2007 and 2011, so this group would
be as a treatment sample. Then I want to match the treatment group with
a set of companies who do not issue bonds during the observation period
(2007-2011). I was wondering how I could match them as both sample
varies between 2007 and 2011? How should the dataset look like?
Best,
Eln
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