Matching Methods for Causal Inference: A Review and a Look Forward
Matching Methods for Causal Inference: A Review and a Look Forward
When estimating causal effects using observational data, it is desirable to replicate a randomized experiment as closely as possible by obtaining treated and control groups with similar covariate distributions. This goal can often be achieved by choosing well-matched samples of the original treated and control groups, thereby reducing bias due …