A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation

摘要

We propose and test a new approach for modeling consumer heterogeneity in conjoint estimation based on convex optimization and statistical machine learning. We develop methods both for metric and choice data. Like hierarchical Bayes (HB), our methods shri