arXiv 18 Jul 2025 · Statistics — Methodology
arXiv:2507.14391 · PDF · DOI · OpenAlex · Extracted main text
In settings where units' outcomes are affected by others' treatments, there has been a proliferation of ways to quantify effects of treatments on outcomes. Here we describe how many proposed estimands can be represented as involving one of two ways of averaging over units and treatment assignments. The more common representation often results in quantities that are irrelevant, or at least insufficient, for optimal choice of policies governing treatment assignment. The other representation often yields quantities that lack an interpretation as summaries of unit-level effects, but that we argue may still be relevant to policy choice. Among various estimands, the expected average outcome -- or its contrast between two different policies -- can be represented both ways and, we argue, merits further attention.
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| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Cai, Jing and De Janvry, Alain and Sadoulet, Elisabeth (2015) Social Networks and the Decision to Insure | 0.928 | 4 | 3 | 100% |
| 2 | Sävje, F (2023) Causal inference with misspecified exposure mappings: Separating definitions and assumptions | 0.644 | 3 | 2 | 67% |
| 3 | Chin, Alex and Eckles, Dean and Ugander, Johan (2022) Evaluating stochastic seeding strategies in networks self | 0.644 | 2 | 2 | 100% |
| 4 | Peter M. Aronow and Cyrus Samii (2017) Estimating average causal effects under general interference, with application to a social network experiment | 0.511 | 4 | 2 | 25% |
| 5 | Hudgens, Michael G and Halloran, M Elizabeth (2008) Toward causal inference with interference | 0.511 | 2 | 1 | 100% |
| 6 | Manski, Charles F (2013) Identification of treatment response with social interactions | 0.511 | 2 | 1 | 100% |
| 7 | Fredrik Sävje and Peter M. Aronow and Michael G. Hudgens (2021) Average treatment effects in the presence of unknown interference | 0.511 | 2 | 1 | 100% |
| 8 | Auerbach, Eric and Auerbach, Jonathan and Tabord-Meehan, Max (2024) Discussion of ‘Causal inference with misspecified exposure mappings: Separating definitions and assumptions’ | 0.405 | 1 | 1 | 100% |
| 9 | D. R. Cox (1958) Planning of Experiments | 0.405 | 1 | 1 | 100% |
| 10 | Eckles, Dean and Karrer, Brian and Ugander, Johan (2017) Design and analysis of experiments in networks: Reducing bias from interference self | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 21 scored citations.
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| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Decomposition of Spillover Effects Under Misspecification: Pseudo-True Estimands and a Local-Global Extension | 0.644 | 2 | 2 |