Propensity Score Matching
Treatment evaluation is the estimation of the average effect of a program or treatment on the outcome of interest. A comparison of outcomes is made between treated and control groups. Propensity score matching is used when a group of subjects receive a treatment and we’d like to compare their outcomes with the outcomes of a control group. Examples include estimating the effects of a training program on job performance or the effects of a government program targeted at helping particular schools.
Handouts, Programs, and Data
Propensity Score Matching Example
Propensity Score Matching Stata Program and Output
Propensity Score Matching in Stata.do
Propensity Score Matching R Program and Output
Propensity Score Matching in R.R
Propensity score matching: topics covered
Propensity score methodology
Treated and control groups
Probit/logit models to estimate propensity
Matching methods for treated and controlled observations
Treatment effects estimation
Assumptions in propensity score matching
Difference-in-differences models