The materials from the AEA 2016 Session 2040: Conducting Propensity Score Matching and Survival Analysis to Predict Recidivism for a Home Visitation Program Evaluation: Case Study, and Applying Results are attached below.
In this session, the presenters discussed the process of conducting a quasi experimental study using PSM and survival analysis. The abstract for the session notes:
Matching using propensity scores is a technique that can be used to improve the validity of a quasi-experimental comparison study. They can equalize non-randomized treatment and comparison groups more effectively than other forms of matching (e.g. univariate), and produce less biased estimates compared to regression techniques that include statistical controls for baseline differences. The presenters will detail the process for constructing propensity scores in SPSS, providing step-by-step guidance intended for a lay-audience. They will then provide instructions for using the scores as weights or matching construct to adjust the analysis to minimize baseline non-equivalence prior to conducting an impact analysis. The audience will receive handouts including sample SPSS syntax for the procedures#Eval2016