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st: re: finding Stata commands


From   Christopher Baum <kit.baum@bc.edu>
To   <statalist@hsphsun2.harvard.edu>
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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