Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies

Jianan Zhu, Jeffrey Zhang, Zijian Guo +1

Matching is a widely used causal inference design that aims to approximate a randomized experiment using observational data by forming matched sets of treated and control units bas…