Quasi-experimental

Impact evaluation designs used to determine impact in the absence of a control group from an experimental design. Many quasi-experimental methods, e.g. propensity score matching and regression discontinuity design, create a comparison group using statistical procedures. The intention is to ensure that the characteristics of the treatment and comparison groups are identical in all respects, other than the intervention, as would be the case from an experimental design. Other, regression-based approaches, have an implicit counterfactual, controlling for selection bias and other confounding factors through statistical procedures.