Optimal Design of Experiments in the Presence of Interference
42 Pages Posted: 18 Jan 2017 Last revised: 16 Dec 2017
Date Written: November 30, 2017
We formalize the optimal design of experiments when there is interference between units, i.e. an individual's outcome depends on the outcomes of others in her group. We focus on randomized saturation designs, two-stage experiments that first randomize treatment saturation of a group, then individual treatment assignment. We map the potential outcomes framework with partial interference to a regression model with clustered errors, calculate standard errors of randomized saturation designs, and derive analytical insights about the optimal design. We show that the power to detect average treatment effects declines precisely with the ability to identify novel treatment and spillover effects.
Keywords: Experimental Design, Causal Inference
JEL Classification: C93, O22, I25
Suggested Citation: Suggested Citation