Limit Theorems for Network Dependent Random Variables

Citations

Cited by:

1. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised Jan 2025.
2. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large bayesian game with heterogeneous beliefs," Other publications TiSEM aca0631e-4f8a-45c7-af3a-4, Tilburg University, School of Economics and Management.
3. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
4. Denis Kojevnikov, 2021. "The Bootstrap for Network Dependent Processes," Papers 2101.12312, arXiv.org.
5. Nathan Canen & Shantanu Chadha, 2026. "Empirical Challenges with Peers-of-Peers Instruments in the Linear-In-Means Model," Papers 2602.24215, arXiv.org.
6. Kensuke Sakamoto & Yuya Shimizu, 2025. "Design-Based and Network Sampling-Based Uncertainties in Network Experiments," Papers 2506.22989, arXiv.org, revised Sep 2025.
7. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
8. Luther Yap, 2026. "Variance Estimation with Dependence and Heterogeneous Means," Papers 2603.11497, arXiv.org.
9. Lin Chen & Yuya Sasaki, 2025. "Heterogeneous Effects of Endogenous Treatments with Interference and Spillovers in a Large Network," Papers 2512.14515, arXiv.org.
10. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Other publications TiSEM 80b8e4ed-54bc-4a34-883f-f, Tilburg University, School of Economics and Management.
11. Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
12. Tadao Hoshino & Takahide Yanagi, 2024. "Causal Inference with Noncompliance and Unknown Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(548), pages 2869-2880, October.
    • Tadao Hoshino & Takahide Yanagi, 2021. "Causal Inference with Noncompliance and Unknown Interference," Papers 2108.07455, arXiv.org, revised Oct 2023.
13. Yechan Park & Xiaodong Yang, 2026. "Decomposition of Spillover Effects Under Misspecification: Pseudo-true Estimands and a Local-Global Extension," Papers 2602.12023, arXiv.org, revised Mar 2026.
14. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Nov 2025.
15. Michael P. Leung, 2022. "Causal Inference Under Approximate Neighborhood Interference," Econometrica, Econometric Society, vol. 90(1), pages 267-293, January.
    • Michael P. Leung, 2019. "Causal Inference Under Approximate Neighborhood Interference," Papers 1911.07085, arXiv.org, revised Nov 2021.
16. Nathan Canen & Ko Sugiura, 2022. "Inference in Linear Dyadic Data Models with Network Spillovers," Papers 2203.03497, arXiv.org, revised Jun 2023.
17. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
18. Yuya Sasaki, 2025. "GMM and M Estimation under Network Dependence," Papers 2503.00290, arXiv.org, revised Mar 2026.
19. Qu Feng & Sombut Jaidee & Wenjie Wang, 2025. "Robust Inference with High-Dimensional Instruments," Papers 2506.23834, arXiv.org.
20. Gao, Mengsi & Ding, Peng, 2025. "Causal inference in network experiments: Regression-based analysis and design-based properties," Journal of Econometrics, Elsevier, vol. 252(PA).
21. Canen, Nathan & Chadha, Shantanu, 2026. "Empirical Challenges with Peers-of-Peers Instruments in the Linear-In-Means Model," The Warwick Economics Research Paper Series (TWERPS) 1603, University of Warwick, Department of Economics.
22. Kojevnikov, Denis & Song, Kyungchul, 2023. "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, vol. 237(2).
23. Zihan Zhang & Lianyan Fu & Dehui Wang, 2026. "Difference-in-Differences using Double Negative Controls and Graph Neural Networks for Unmeasured Network Confounding," Papers 2601.00603, arXiv.org.
24. Christian Cox & Akanksha Negi & Digvijay Negi, 2022. "Risk-Sharing Tests with Network Transaction Costs," Monash Econometrics and Business Statistics Working Papers 5/22, Monash University, Department of Econometrics and Business Statistics.
25. Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Dec 2025.
26. Christis Katsouris, 2023. "Limit Theory under Network Dependence and Nonstationarity," Papers 2308.01418, arXiv.org, revised Aug 2023.