3 papers
econ.EM2026
Normal Approximation in Large Network Models
Michael P. Leung, Hyungsik Roger Moon
We prove a central limit theorem for network formation models with strategic interactions and homophilous agents. Since data often consists of observations on a single large networ…
econ.EM2025
Graph Neural Networks for Causal Inference Under Network Confounding
Michael P. Leung, Pantelis Loupos
This paper studies causal inference with observational data from a single large network. We consider a nonparametric model with interference in both potential outcomes and selectio…
econ.EM2025
Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data
Jianfei Cao, Michael P. Leung
This paper studies double/debiased machine learning (DML) methods applied to weakly dependent data. We allow observations to be situated in a general metric space that accommodates…