leungm [at] ucsc.edu
Curriculum Vitae

Software

• networkinference. Python package for inference with data exhibiting network dependence or other forms of complex or unknown weak dependence.

Working Papers

• Leung, M. and P. Loupos. Graph Neural Networks for Causal Inference Under Network Confounding (2024).
• Leung, M. Causal Interpretation of Estimands Defined by Exposure Mappings (2024).
• Leung, M. Design of Cluster-Randomized Trials with Cross-Cluster Interference (2023).
• Leung, M. and R. Moon. Normal Approximation in Large Network Models (2023).
  long version
• Alidaee, H., E. Auerbach, and M. Leung. Recovering Network Structure from Aggregated Relational Data Using Penalized Regression (2020).
  R and Python packages
• Leung, M. Inference in Models of Discrete Choice with Social Interactions Using Network Data (2019).

Publications

• Leung, M. Discussion of "Causal inference with misspecified exposure mappings: separating definitions and assumptions" (2024). Biometrika, 111(1), 17-20.
• Leung, M. Network Cluster-Robust Inference (2023). Econometrica, 91(2), 641-667.
  Python package | replication code | working paper
• Leung, M. Rate-Optimal Cluster-Randomized Designs for Spatial Interference (2022). Annals of Statistics, 50(5), 3064-3087.
  replication code | working paper
• Leung, M. Dependence-Robust Inference Using Resampled Statistics (2022). Journal of Applied Econometrics, 37(2), 270-285.
  Python package | replication code | working paper
• Gallant, R., H. Hong, M. Leung, and J. Li. Constrained Estimation Using Penalization and MCMC (2022). Journal of Econometrics, 228(1), 85-106.
  working paper
• Leung, M. Causal Inference Under Approximate Neighborhood Interference (2022). Econometrica, 90(1), 267-293.
  Python package | replication code | working paper
• Leung, M. Equilibrium Computation in Discrete Network Games (2020). Quantitative Economics, 11(4), 1325-1347.
  replication code
• Leung, M. Treatment and Spillover Effects Under Network Interference (2020). Review of Economics and Statistics, 102(2), 368-380.
  Python package | replication code | working paper
• Hong, H., M. Leung, and J. Li. Inference on Finite Population Treatment Effects Under Limited Overlap (2020). The Econometrics Journal, 23(1), 32-47.
  replication code | working paper
• Leung, M. A Weak Law for Moments of Pairwise Stable Networks (2019). Journal of Econometrics, 210(2), 310-326.
  erratum | replication code | working paper
• Leung, M. Two-Step Estimation of Network-Formation Models with Incomplete Information (2015). Journal of Econometrics, 188(1), 182-195.
  replication code | working paper

Idle Manuscripts

• Leung, M. and P. Loupos. Unconfoundedness with Network Interference (2023). Superceded by "Graph Neural Networks for Causal Inference Under Network Confounding" and "Causal Interpretation of Estimands Defined by Exposure Mappings."
• Leung, M. A Random-Field Approach to Inference in Large Models of Network Formation (2015). Superceded by "A Weak Law for Moments of Pairwise Stable Networks" and "Normal Approximation in Large Network Models."