Before revision:  This paper studies how to efficiently estimate a variety of causal parameters in such staggered rollout designs when treatment timingis (as-if) randomly assigned .
After revision:  This paper studies how to efficiently estimate a variety of causal parameters in a Neymanian-randomization based framework of random treatment timing .