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What is a propensity score matching analysis?
In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
What is propensity based matching?
Propensity score matching (PSM) is a quasi-experimental method in which the researcher uses statistical techniques to construct an artificial control group by matching each treated unit with a non-treated unit of similar characteristics. Using these matches, the researcher can estimate the impact of an intervention.
How does sensitivity analysis for matching estimators work?
Sensitivity analysis for Matching Motivation and objective Current approaches The LOCO approach The Stata module sensimatch Application Conclusion 5/25 Sensitivity analysis for Matching Motivation and objective Current approaches The LOCO approach The Stata module sensimatch Application Conclusion
Which is the best definition of sensitivity analysis?
Sensitivity analysis: the study of how the uncertainty in the out- put of a model or system can be explained by di\erent sources of uncertainty in its inputs 7/25 Sensitivity analysis for Matching Motivation and objective Current approaches The LOCO approach The Stata module sensimatch Application Conclusion
How to do sensitivity analysis with rbounds.xi?
Using rbounds . xi: psmatch2 $w $xvars i.ind i.occ , out($y) common . gen delta = $y – _wage if _treated==1 & _support==1 . rbounds delta , gamma(1 (0.01) 2) 16/25 Sensitivity analysis for Matching Motivation and objective Current approaches The LOCO approach The Stata module sensimatch Application Conclusion
What does a propensity score tell you about someone?
Propensity scores are the resulting predicted probabilities for each unit They range from 0-1 Higher scores indicate greater likelihood of being in the treatment group