3 papers
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.EM2024
Matching Hybrid Difference in Differences
Yechan Park, Yuya Sasaki
Since LaLonde's (1986) seminal paper, there has been ongoing interest in estimating treatment effects using pre- and post-intervention data. Scholars have traditionally used experi…