A Bayesian analysis of nested logit models

This study provides a Bayesian analysis of estimation, testing, and prediction in nested logit models. Tractable families of informative priors are introduced. The discussion advocates explicit treatment of prior information often used informally by non-Bayesian empirical researchers.