What role does the "distance" object play in a MatchIt object? It appears
to contain the propensity scores for the unmatched data.
On 4/25/06, Dan Hopkins <dhopkins(a)fas.harvard.edu> wrote:
Hi All,
Apparently, some folks have been having trouble plotting propensity scores
simply by typing "plot(mout)" where mout is an output object from MatchIt.
Ian and I have been having those troubles too. If anyone has a good
solution, please send it out.
In the meantime, we dealt with this problem by simply using
"plot(density(xxx))" and the putting in the propensity scores for the
treatment and control before and after matching in as the xxxs. The
post-matching propensity scores can be extracted from the output from
matchit using the match.data(mout,group="treat") or group="control"
command. Note too that as far as I am aware, you need to calculate the
propensity scores for the full, pre-matching sample "by hand"--that is,
using zelig() or glm().
Best,
Dan
----
Ph.D. Student
Department of Government
Harvard University
Tutor, Currier House
dhopkins(a)fas.harvard.edu
http://www.danhopkins.org
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