2 papers
econ.EM2026
Graph Neural Networks for Generalized Mundlak Estimator under Network Confounding
Lianyan Fu, Rui Wang, Zihan Zhang
This paper proposes a generalized Mundlak estimator based on graph neural networks (GME-GNN). The estimator is designed to mitigate bias arising from group-level heterogeneity and…
econ.EM2026
Difference-in-Differences using Double Negative Controls and Graph Neural Networks for Unmeasured Network Confounding
Zihan Zhang, Lianyan Fu, Dehui Wang
Estimating causal effects from observational network data faces dual challenges of network interference and unmeasured confounding. To address this, we propose a general Difference…