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https://www.statalist.org/forums/forum/general-stata-discussion/general/1145219-psmatch2-graph-for-propensity-score-matching
Mar 17, 2016 · For example, the command -diff- which is a user-written command uses -psmatch2- (also a user-written command) for kernel matching. After running -diff- you can use -psgraph- which is a post estimation command of -psmatch2- and you will get a graph like the following: There are a few issues with this graph including not having a unit on...
http://fmwww.bc.edu/repec/bocode/p/psgraph.html
psgraph can be called without options after psmatch2. In this case psgraph will use the generate variables _treated and _pscore. The options treated and pscore override this behavior. Options. bin(#) specifies the number of intervals to use for accumulating the histogram. The default is bin(20).
https://github.com/KevinMarquette/PSGraph
Aug 14, 2018 · PSGraph. PSGraph is a helper module implemented as a DSL (Domain Specific Language) for generating GraphViz graphs. The goal is to make it easier to generate graphs using Powershell. The DSL adds these commands that are explained below. graph; edge; node; subgraph; rank; What is GraphViz? Graphviz is open source graph visualization software. Graph visualization is …
https://www.navair.navy.mil/lakehurst/product/common-support-equipment-cse
Common Support Equipment (CSE) The Navy has more than 100,000 items of Support Equipment (SE) with operational and maintenance activities across the globe. To keep up with emerging technologies and the changing needs of the fleet, NAWCAD Lakehurst makes use of its technical expertise and state-of-the-art facilities to meet the growing demand.
https://www.researchgate.net/publication/4794420_PSMATCH2_Stata_Module_to_Perform_Full_Mahalanobis_and_Propensity_Score_Matching_Common_Support_Graphing_and_Covariate_Imbalance_Testing
PSMATCH2: Stata 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 supersedes the previous 'psmatch' routine of B. Sianesi.
https://ideas.repec.org/c/boc/bocode/s432001.html
psmatch2 implements full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. This routine supersedes the previous 'psmatch' routine of B. Sianesi. The April 2012 revision of pstest changes the syntax of that command.
https://www.bgsu.edu/content/dam/BGSU/college-of-arts-and-sciences/center-for-family-and-demographic-research/documents/Workshops/2013-workshop-PSA-brief-Stata-example.pdf
Note: the common support option has been selected The region of common support is [.00563074, .78917042] Description of the estimated propensity score in region of common support Estimated propensity score -----
http://www.pep-net.org/sites/pep-net.org/files/typo3doc/pdf/Training_Material/statadoc.pdf
common support and 0 if the observation is off the support. _pscore is the estimated propensity score or a copy of the one provided by pscore(). _outcome_variable for every treatment observation stores the value of the matched outcome. _weight. For nearest neighbor matching, it holds the …
http://ftp.iza.org/dp1588.pdf
lap/Common Support (sec. 3.3) Step 5: Sensitivity Analysis (sec. 4) Step 4: Matching Quality/Effect Estimation (sec. 3.4-3.7) CVM: Covariate Matching, PSM: Propensity Score Matching The aim of this paper is to discuss these issues and give some practical guidance to researchers who want to use PSM for evaluation purposes. The paper is organised as follows.
http://www.bristol.ac.uk/media-library/sites/cmm/migrated/documents/prop-scores.pdf
In general, the choice of covariates to insert in the propensity score model should be based on theory and previous empirical ndings; formal (statistical) tests (e.g. Heckman et al. , 1998, Heckman and Smith, 1999 and Black and Smith, 2004) The model for the propensity scores does not need a …
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