Rate-optimal cluster-randomized designs for spatial interference
Rate-optimal cluster-randomized designs for spatial interference
We consider a potential outcomes model in which interference may be present between any two units but the extent of interference diminishes with spatial distance. The causal estimand is the global average treatment effect, which compares outcomes under the counterfactuals that all or no units are treated. We study a …