"Nonparametric Identification and Estimation of Partial Effects: A Network Control Function Approach."
"Quantifying Distributional Model Risk in Marginal Problems via Optimal Transport," with Yanqin Fan and Hyeonseok Park (2025), Mathematics of Operations Research.
"Policy Learning with alpha-Expected Welfare," with Yanqin Fan and Yuan Qi. Revise & Resubmit at Journal of Econometrics.
"Policy Learning under Unobserved Confounding: A Robust and Efficient Approach," with Zequn Jin, Xi Zheng and Yahong Zhou. Submitted.
"Quantile Treatment Effects and Bootstrap Inference under Network Interference," with Zequn Jin and Zixin Yang.
Abstract: We study quantile treatment effects (QTE) under network interference. For units sharing the same degree, our estimands compare outcome quantiles across exposure configurations that differ in own treatment and the number of treated neighbors. Under a local-interference condition and mild restrictions on the degree distribution, these QTEs are point identified. We develop two estimators, a degree-stratified nonparametric estimator and a linear quantile-regression estimator, and establish their weak convergence. We further provide dependence-robust bootstrap inference. The proposed method is evaluated through Monte Carlo experiments and an empirical application to a randomized input-subsidy program in Mozambique (Carter et al., 2021).