Research

Publications:

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.
Informal Risk Sharing with Local Information, with Attila Ambrus and Pau Milan, Review of Economic Studies, 2022, 89(5), 2329–2380.
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories (Extended Abstract), with Drew Fudenberg and Annie Liang, Proceedings of the 22nd ACM Conference on Economics and Computation, 2021, 497-498. (Award: Exemplary Artificial Intelligence and Computation Track Paper, ACM EC'21)
Nonparametric Identification in Index Models of Link Formation, Journal of Econometrics, 2020, 215(2), 399-413. (Award: 2021 Arnold Zellner Award for Best Theory Paper Published in 2019-2020, Journal of Econometrics)
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:

How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories, with Drew Fudenberg and Annie Liang, accepted for publication by the Review of Economics & Statistics
IV Regressions without Exclusion Restrictions, with Rui Wang
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
A Partial Order on Preference Profiles
Robust Semiparametric Estimation in Panel Multinomial Choice Models, with Ming Li

Work in Progress: