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st: re: finding Stata commands
From
Christopher Baum <[email protected]>
To
<[email protected]>
Subject
st: re: finding Stata commands
Date
Mon, 4 Oct 2010 09:33:51 -0400
<>
Tim said
I typed -findit propensity score- and got a lot of results that look
useful. The first few mention -gpscore- (I have not followed links to
know if this is relevant) and -pscore- is mentioned near the end.
In scanning the search results I saw no mention of -psmatch2-. Yet "most
users...would look for psmatch2".
-findit propensity score- has no problem finding psmatch2 on my machine among the SSC content:
...
doseresponse from http://fmwww.bc.edu/RePEc/bocode/d
'DOSERESPONSE': module to estimate dose-response function through
adjustment for the generalized propensity score / doseresponse estimates
the generalized propensity score (GPS), / verifies the normal model used
for the GPS, and tests the / balancing property by calling the routine
hte from http://fmwww.bc.edu/RePEc/bocode/h
'HTE': module to perform heterogeneous treatment effect analysis / -hte-
applies -pscore- by Becker and Ichino (Stata Journal / 2:358-377) to
construct balanced propensity score strata and, / within each stratum,
estimates the average treatment effect. / -hte- then tests for linear
mahapick from http://fmwww.bc.edu/RePEc/bocode/m
'MAHAPICK': module to select matching observations based on a Mahalanobis
distance measure / mahapick seeks matching "control" observations for a
set of / "treated" observations. mahascore and mahascores compute the /
distance measures. covariancemat creates a matrix of covariances. /
psmatch2 from http://fmwww.bc.edu/RePEc/bocode/p
'PSMATCH2': module to perform full Mahalanobis and propensity score
matching, common support graphing, and covariate imbalance testing / Files
that implement full Mahalanobis and propensity score / matching, common
support graphing, and covariate imbalance / testing. This routine
sensatt from http://fmwww.bc.edu/RePEc/bocode/s
'SENSATT': module to compute sensitivity for matching estimators / sensatt
implements the sensitivity analysis for propensity-score / matching
estimators proposed by Ichino, Mealli and Nannicini / (2005). The
proposed analysis builds on Rosenbaum and Rubin / (1983) and Rosenbaum
..
You will also find psmatch2 consistently listed among the most downloaded programs on the SSC Archive (-ssc hot-).
Kit
Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html
An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html
An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html
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