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econ.EM2025
Heterogeneous Effects of Endogenous Treatments with Interference and Spillovers in a Large Network
Lin Chen, Yuya Sasaki
This paper studies the identification and estimation of heterogeneous effects of an endogenous treatment under interference and spillovers in a large single-network setting. We mod…
cs.LG2025
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
Yuya Sasaki
Graph neural networks (GNNs) are powerful tools for learning from graph-structured data but often produce biased predictions with respect to sensitive attributes. Fairness-aware GN…
econ.EM2025
GMM and M Estimation under Network Dependence
Yuya Sasaki
This paper presents GMM and M estimators and their asymptotic properties for network-dependent data. To this end, I build on Kojevnikov, Marmer, and Song (KMS, 2021) and develop a…