2 papers
econ.EM2026
Profit-Aligned CATE Estimation: Reconciling Policy Learning and Inference
Artem Timoshenko, Caio Waisman
We propose a framework that aligns Conditional Average Treatment Effect (CATE) estimation with profit maximization. Our method recognizes that, for customers with extreme treatment…
econ.EM2024
Bayesian estimation of finite mixtures of Tobit models
Caio Waisman
This paper outlines a Bayesian approach to estimate finite mixtures of Tobit models. The method consists of an MCMC approach that combines Gibbs sampling with data augmentation and…