Research
Accepted or Published
An Adversarial Approach to Structural Estimation, with Tetsuya Kaji and Elena Manresa, Econometrica 2023
Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation, with Maxwell Kellogg, Magne Mogstad, and Alexander Torgovitsky, Journal of the American Statistical Association, 2021
Spatial Econometrics for Misaligned Data, Journal of Econometrics, 2021
Adversarial Inference is Efficient, with Tetsuya Kaji and Elena Manresa, AEA Papers and Proceedings 2021
Inference for Support Vector Regression with l1 Regularization, with Yuehao Bai, Hung Ho, and Joshua Ka Chun Shea , AEA Papers and Proceedings 2021
The Maximum Likelihood Threshold of a Path Diagram, with Mathias Drton, Chris Fox, and Andreas Kaüfl, The Annals of Statistics 2019
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory, ICML 2018
Submitted
Instrumental Variables Quantile Regression with Multivariate Endogenous Variable
The Black Market for Beijing License Plates, with Oysten Daljord, Manfy Hu, and Junji Xiao, revise and resubmit at Journal of Public Economics
Appendix, paper b/w, appendix b/w
pedagogical material (instructors may email directly for solution set)
Information Criteria and Degrees of Freedom for the Synthetic Control Method, with Zhen Xie, revise and resubmit at Quantitative Economics
Working Papers
Group Shapley Value and Counterfactual Simulations in a Structural Model, with Yongchan Kwon and Sokbae Lee
Optimal Transport as a Reduced form Regression Tool, with Samuel Higbee and Omkar Katta
The Price of Votes, with Brian Libgober
Imputing Categorical Data with Machine Learning Methods
Bootstrapping Big Data: MCMC Sampling of the Bootstrap Distribution
On Regression Rankscore Inference for Quantile Regression, with Yuehao Bai and Azeem Shaikh
Dynamic Synthetic Controls, with Max Kellogg, Magne Mogstad and Alexander Torgovitsky