We show how to combine statistically efficient ways to design discrete choice experiments based on random utility theory with new ways of collecting additional information that can be used to expand the amount of available choice information for modeling the choices of individual decision...

Louviere et al. (2008, J. of Choice Modelling, 1, 126-163) present two main empirical examples in which a respondent rank orders the options in various choice sets by repeated best, then worst, choice. They expand the ranking data to various "implied" choices in subsets and fit the expanded data...

We briefly review and discuss traditional conjoint analysis (CA) and discrete choice experiments (DCEs), widely used stated preference elicitation methods in several disciplines. We pay particular attention to the origins and basis of CA, and show that it is generally inconsistent with economic...

Disagreement among researchers regarding types of optimal choice experiments is often best seen as resulting from differences in the set of assumptions researchers are willing to make about the underlying data generating process. Much of the current debate may have confused, rather than...

We propose and describe a comprehensive theoretical framework that integrates choice models and structural equation models. Referred to as "structural choice modelling" the framework easily combines data from separate but related choice experiments. We describe the mathematical properties of the...