Causal inference in two-sided randomization designs: factorial regression, two-way clustering, and covariate adjustment

We study randomized experiments involving two interacting populations, such as buyers and sellers in a marketplace. In the two-sided experiments we consider, we randomize the two populations separately and independently. For a pair consisting of one member from each population, the two assignments j