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Policy design in experiments with unknown interference

Davide Viviano, Jess Rudder

arXiv 16 Nov 2020 · Econometrics · 4 citations (OpenAlex)

arXiv:2011.08174 · PDF · DOI · OpenAlex · Extracted main text

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.

Citation extraction

86
references
177
in-text mentions
86
distinct cited
3
self-citations
21,968
main-text words

appendix boundary found by appendix_command · 46% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Kitagawa, T. and A. Tetenov (2018) Who should be treated? Empirical welfare maximization methods for treatment choice1.00053100%
2Alatas, V., A. Banerjee, A. G. Chandrasekhar, R. Hanna, and B. A. Ol… (2016) Network structure and the aggregation of information: Theory and evidence from indonesia0.9285380%
3Akbarpour, M., S. Malladi, and A. Saberi (2018) Just a few seeds more: value of network information for diffusion0.92843100%
4Kasy, M. and A. Sautmann (2019) Adaptive treatment assignment in experiments for policy choice0.92843100%
5Wager, S. and K. Xu (2021) Experimenting in equilibrium0.92843100%
6Cai, J., A. De Janvry, and E. Sadoulet (2015) Social networks and the decision to insure0.90916575%
7Alatas, V., A. Banerjee, R. Hanna, B. A. Olken, and J. Tobias (2012) Targeting the poor: evidence from a field experiment in indonesia0.89911473%
8Graham, B. S., G. W. Imbens, and G. Ridder (2010) Measuring the effects of segregation in the presence of social spillovers: A nonparametric approach0.84333100%
9Leung, M. P (2023) Network cluster-robust inference0.84333100%
10Agarwal, A., O. Dekel, and L. Xiao (2010) Optimal algorithms for online convex optimization with multi-point bandit feedback0.81142100%

Showing the top 10 of 86 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Ranking Treatment Saturations under Clustered Network Interference0.51121
2A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances0.40511
3Higher-Order Causal Message Passing for Experimentation with Complex Interference0.40511
4Program Evaluation with Remotely Sensed Outcomes0.40511