On the statistical performance of Hierarchical Bayes MNL conjoint models: findings from simulation studies

Maren Hein
Choice-Based Conjoint (CBC) analysis is nowadays by far the most widely used method for exploring consumer preferences. Because choice data provides less information than rankings- or ratings-based conjoint data, a serious limitation in previous applications of CBC analysis was that preferences could not be estimated at the individual, but only at the aggregate or segment level. The revolution occurred with the availability of Hierarchical Bayes (HB) estimation procedures. The application of HB methods nowadays allows...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.