When experimental designs are infeasible, evaluation researchers often use observational data to estimate treatment effects. Propensity score matching, used to improve covariate balance, has been gaining popularity. This workshop will introduce you to basic theories and principles, demonstrate the process, and provide the tools necessary to perform the work. We’ll demonstrate using the free statistical software program R and provide attendees with a CD containing both the R software and example data.
The workshop will include a review of experimental and non-experimental designs, an overview of commonly used matching options, and a step-by-step demonstration as well as team activities.
The topics to be covered include:
- The theoretical basis of propensity score matching and related models;
- How to import, export, and process data files between Excel and R;
- How to pre-process data;
- How to estimate the program effect;
- How to evaluate potential bias.
Note: Above is a brief version of the course description, taken from the AEA website
Organization: American Evaluation Association
For AEA Members $160
For Non Members $220
For full time Students $90
Application Deadline: Un till the session is full