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K-nearest neighbor matching for ATE and missing match.matrix #198
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Thanks for the suggestion. This is going to be implemented in a major update to |
Hello, thanks a lot for the fast reply!
Am Di., 23. Juli 2024 um 21:35 Uhr schrieb Noah Greifer <
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… Thanks for the suggestion. This is going to be implemented in a major
update to MatchIt that hopefully will occur later this year or early next
year. Note, though, that standard error estimation for this method is not
well understood outside of the context of matching imputation as described
by Abadie and Imbens (2006) and implemented in the Matching package.
Matching provides an accurate standard error estimator for the ATE when
matching with replacement, so for now, I recommend using it instead of
MatchIt if you are set on using this method. Otherwise,
subclassification, optimal full matching, and generalized full matching can
be good alternatives. They don't have a match.matrix because they don't
involve create pairs; rather, they form subclasses.
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Danke und einen wunderschönen Tag!
Viele Grüße
Lena Schemet
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Hello guys,
thanks for the great package. I've been using it for matching. However, the K-nearest neighbor matching for ATE would be a good extension for being able to compare different matching algorithms. For the other matching versions the object match.matrix is not available.
Both would be good extensions if it's something you have the capacity for!
Thanks a lot for the good package
Lena
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