Eric Auerbach, Hongchang Guo, Max Tabord-Meehan
arXiv 9 May 2021 · Econometrics
arXiv:2105.03810 · PDF · Extracted main text
We propose a new nonparametric modeling framework for causal inference when outcomes depend on how agents are linked in a social or economic network. Such network interference describes a large literature on treatment spillovers, social interactions, social learning, information diffusion, disease and financial contagion, social capital formation, and more. Our approach works by first characterizing how an agent is linked in the network using the configuration of other agents and connections nearby as measured by path distance. The impact of a policy or treatment assignment is then learned by pooling outcome data across similarly configured agents. We demonstrate the approach by deriving finite-sample bounds on the mean-squared error of a k-nearest-neighbor estimator for the average treatment response as well as proposing an asymptotically valid test for the hypothesis of policy irrelevance.
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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.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Jackson, Rodriguez-Barraquer and Tan (2012) Social capital and social quilts: Network patterns of favor exchange | 0.965 | 10 | 4 | 90% |
| 2 | Canay and Kamat (2018) Approximate permutation tests and induced order statistics in the regression discontinuity design | 0.874 | 6 | 3 | 67% |
| 3 | de Paula, Richards-Shubik and Tamer (2018) Identifying preferences in networks with bounded degree | 0.843 | 3 | 3 | 100% |
| 4 | Leung (2019) Causal Inference Under Approximate Neighborhood Interference | 0.811 | 4 | 2 | 100% |
| 5 | Döring, Györfi and Walk (2017) Rate of convergence of k-nearest-neighbor classification rule | 0.737 | 3 | 3 | 67% |
| 6 | Benjamini and Schramm (2001) Recurrence of Distributional Limits of Finite Planar Graphs | 0.737 | 3 | 2 | 100% |
| 7 | Auerbach, Auerbach and Tabord-Meehan (2024) Discussion of ‘Causal inference with misspecified exposure mappings: separating definitions and assumptions’ self | 0.644 | 2 | 2 | 100% |
| 8 | Azoulay, Zivin and Wang (2010) Superstar Extinction | 0.644 | 2 | 2 | 100% |
| 9 | Ballester, Calvó-Armengol and Zenou (2006) Who's who in networks. wanted: the key player | 0.644 | 2 | 2 | 100% |
| 10 | Blume, Brock, Durlauf and Ioannides (2010) Identification of social interactions | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 56 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.