Switchback Experiments under Geometric Mixing

Abstract: The switchback is an experimental design that measures treatment effects by repeatedly turning an intervention on and off for a whole system. Switchback experiments are a robust way to overcome cross-unit spillover effects; however, they are vulnerable to bias from temporal carryovers. In this paper, we consider properties of switchback experiments in Markovian systems that mix at a geometric rate. We find that, in this setting, standard switchback designs suffer considerably from carryover bias: Their estimation error decays as $T<sup>{-1/3}$ in terms of the experiment horizon $T$, whereas in the absence of carryovers a faster rate of $T<sup>{-1/2}$ would have been possible. We also show, however, that judicious use of burn-in periods can considerably improve the situation, and enables errors that decay as $\log(T)<sup>{1/2}T<sup>{-1/2}$. Our formal results are mirrored in an empirical evaluation.