Publications:

• Identification of Semiparametric Panel Multinomial Choice Models with Infinite-Dimensional Fixed Effects, with Ming Li, forthcoming in the Review of Economics and Statistics (Online Early February 4, 2026).
• Optimization via the Strategic Law of Large Numbers, with Xiaohong Chen, Zengjing Chen, Xiaodong Yan, and Guodong Zhang, Proceedings of the National Academy of Science (Direct Submission), 2026, 123(4), e2519845123.
• Identification of Dynamic Nonlinear Panel Models under Partial Stationarity, with Rui Wang, Journal of Econometrics, 2026, 253, 106185.
• How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories, with Drew Fudenberg and Annie Liang, Review of Economics and Statistics, 2026, 108(1), 194-209. (Extended Abstract in Proceedings of the 22nd ACM Conference on Economics and Computation, 2021, 497-498. Award: Exemplary Artificial Intelligence and Computation Track Paper, ACM EC'21)
• Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates, with Minji Bang, Andrew Postlewaite, and Holger Sieg, Journal of Econometrics, 2023, 235(2), 892-921.
• Logical Differencing in Dyadic Network Formation Models under Non-Transferable Utilities, with Ming Li and Sheng Xu, Journal of Econometrics, 2023, 235(1), 302-324. (Award: 2025 Arnold Zellner Award for the Best Theory Paper Published in the Journal of Econometrics 2023-2024)
• Informal Risk Sharing with Local Information, with Attila Ambrus and Pau Milan, Review of Economic Studies, 2022, 89(5), 2329–2380.
• Nonparametric Identification in Index Models of Link Formation, Journal of Econometrics, 2020, 215(2), 399-413. (Award: 2021 Arnold Zellner Award for the Best Theory Paper Published in the Journal of Econometrics 2019-2020)
• Minimax Linear Estimation at a Boundary Point, Journal of Multivariate Analysis, 2018, 165, 262-269.
• Structural Inference from Reduced Forms with Many Instruments, with Peter C.B. Phillips, Journal of Econometrics, 2017, 199, 96-116.
• Informal Insurance Networks, with Eunyoung Moon, B.E. Journal of Theoretical Economics, 2016, 16, 455-484.

Working Papers:

• Model Restrictiveness in Functional and Structural Settings, with Drew Fudenberg and Zhiheng You.
• How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge, with Sukjin Han and Annie Liang.
• ReLU-Based and DNN-Based Generalized Maximum Score Estimators, with Xiaohong Chen and Likang Wen.
• Inference on Welfare and Value Functionals under Optimal Treatment Assignment, with Xiaohong Chen and Zhenxiao Chen.
• Semiparametric Learning of Integral Functionals on Submanifolds, with Xiaohong Chen.
• IV Regressions without Exclusion Restrictions, with Rui Wang. Revision and resubmission requested by the Econometric Reviews.
• Two-Stage Maximum Score Estimator, with Sheng Xu and Kan Xu
• Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes, with Ivan Fernandez-Val, Yuan Liao, and Francis Vella, revision and resubmission (2nd-round) requested by Quantitative Economics.
• A Partial Order on Preference Profiles

Work in Progress:

• Tractable Identification of Strategic Network Formation Models with Unobserved Heterogeneity, with Ming Li and Zhengyan Xu.