Causal Inference in Rebuilding and Extending the Recondite Bridge between Finite Population Sampling and Experimental Design

Rahul Mukerjee, Tirthankar Dasgupta, Donald B. Rubin

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated…