arXiv 18 Mar 2020 · Econometrics · 3 citations (OpenAlex)
arXiv:2003.08421 · PDF · DOI · OpenAlex · Extracted main text
This paper studies the design of two-wave experiments in the presence of spillover effects when the researcher aims to conduct precise inference on treatment effects. We consider units connected through a single network, local dependence among individuals, and a general class of estimands encompassing average treatment and average spillover effects. We introduce a statistical framework for designing two-wave experiments with networks, where the researcher optimizes over participants and treatment assignments to minimize the variance of the estimators of interest, using a first-wave (pilot) experiment to estimate the variance. We derive guarantees for inference on treatment effects and regret guarantees on the variance obtained from the proposed design mechanism. Our results illustrate the existence of a trade-off in the choice of the pilot study and formally characterize the pilot's size relative to the main experiment. Simulations using simulated and real-world networks illustrate the advantages of the method.
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| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Cai, J., A. De Janvry, and E. Sadoulet (2015) Social networks and the decision to insure | 1.000 | 5 | 3 | 100% |
| 2 | Egger, D., J. Haushofer, E. Miguel, P. Niehaus, and M. W. Walker (2019) General equilibrium effects of cash transfers: experimental evidence from kenya | 1.000 | 5 | 3 | 100% |
| 3 | Muralidharan, K., P. Niehaus, and S. Sukhtankar (2017) General equilibrium effects of (improving) public employment programs: Experimental evidence from india | 0.950 | 7 | 4 | 86% |
| 4 | Leung, M. P (2020) Treatment and spillover effects under network interference | 0.928 | 4 | 3 | 100% |
| 5 | Baird, S., J. A. Bohren, C. McIntosh, and B. Özler (2018) Optimal design of experiments in the presence of interference | 0.874 | 8 | 2 | 100% |
| 6 | Athey, S., D. Eckles, and G. W. Imbens (2018) Exact p-values for network interference | 0.737 | 3 | 2 | 100% |
| 7 | Aronow, P. M. and C. Samii (2017) Estimating average causal effects under general interference, with application to a social network experiment | 0.644 | 2 | 2 | 100% |
| 8 | Eckles, D., B. Karrer, and J. Ugander (2017) Design and analysis of experiments in networks: Reducing bias from interference | 0.644 | 2 | 2 | 100% |
| 9 | Karrer, B., L. Shi, M. Bhole, M. Goldman, T. Palmer, C. Gelman, M. K… (2021) Network experimentation at scale | 0.644 | 2 | 2 | 100% |
| 10 | Kreindler, G., A. Gaduh, T. Graff, R. Hanna, and B. A. Olken (2023) Optimal public transportation networks: Evidence from the world's largest bus rapid transit system in jakarta | 0.644 | 2 | 2 | 100% |
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