Matching and weighting for quasi-experimental policy evaluation - a primer (online)
Policymakers need to know whether social programmes and policies make a difference, and often when randomised experiments are unethical or unfeasible. Causal matching and weighting, types of quasi-experiments, can satisfy this need. Using a range of examples, we will begin by exploring intuitive understandings of how matching and weighting methods work and progress towards a gentle introduction to key concepts that underpin them. A central message will be that a robust theory from the substantive topic area is an essential ingredient for quasi-experiments to deliver the conclusions that policymakers demand. By the end of the session, participants will be empowered to tackle the technical literature and learn more.
Dr Andi Fugard