On randomization-based and regression-based inferences for 2K2K factorial designs

We extend the randomization-based causal inference framework in Dasgupta et al. (2015) for general 2K2K factorial designs, and demonstrate the equivalence between regression-based and randomization-based inferences. Consequently, we justify the use of regression-based methods in 2K2K factorial designs from a finite-population perspective.