Policy design in experiments with unknown interference

Davide Viviano and Jess Rudder

Papers from arXiv.org

Abstract: This paper studies experimental designs for estimation and inference on policies with spillover effects. Units are organized into a finite number of large clusters and interact in unknown ways within each cluster. First, we introduce a single-wave experiment that, by varying the randomization across cluster pairs, estimates the marginal effect of a change in treatment probabilities, taking spillover effects into account. Using the marginal effect, we propose a test for policy optimality. Second, we design a multiple-wave experiment to estimate welfare-maximizing treatment rules. We provide strong theoretical guarantees and an implementation in a large-scale field experiment.

Date: 2020-11, Revised 2024-05
New Economics Papers: this item is included in nep-ecm and nep-exp
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2011.08174

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