Drawing accurate causal inference estimates from observational data is a central challenge in impact evaluation studies of public policies and social programs. Matching estimators are one of the techniques which allow investigators to compare treated and untreated groups that are similar in all relevant characteristics except for the treatment itself. Their simplicity and relatively easy […]