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econ.EM2025
Inference in partially identified moment models via regularized optimal transport
Grigory Franguridi, Laura Liu
Many statistical and econometric problems involve parameters defined by moments of a joint distribution when only marginal distributions are observed, leading naturally to partial…
econ.EM2025★ 1 cited
Bayesian Double Machine Learning for Causal Inference
Francis J. DiTraglia, Laura Liu
This paper proposes a simple, novel, and fully-Bayesian approach for causal inference in partially linear models with high-dimensional control variables. Off-the-shelf machine lear…
econ.EM2025
Binary Outcome Models with Extreme Covariates: Estimation and Prediction
Laura Liu, Yulong Wang
This paper presents a novel semiparametric method to study the effects of extreme events on binary outcomes and subsequently forecast future outcomes. Our approach, based on Bayes'…