3 papers
econ.EM2026
Valuing Winners: When and How to Correct for Selection Bias in Randomized Experiments
Ron Berman, Walter W. Zhang, Hangcheng Zhao
Decision-makers often deploy the best-performing treatment from a randomized experiment, creating a winner's curse: selection favors treatments whose observed outcomes are high par…
econ.GN2025
Optimal Comprehensible Targeting
Walter W. Zhang
Developments in machine learning and big data allow firms to fully personalize and target their marketing mix. However, data and privacy regulations, such as those in the European…
econ.EM2025
Coarse Personalization
Walter W. Zhang, Sanjog Misra
With advances in estimating heterogeneous treatment effects, firms can personalize and target individuals at a granular level. However, feasibility constraints limit full personali…