The objective of this research is to understand the demand for information technology among trucking companies. A multivariate discrete choice model is estimated on data from a large-scale survey of the trucking industry in California. This model is designed to identify the influences of each of twenty operational characteristics on the propensity to adopt each of seven different information te...

We propose a multiplicative speci cation of a discrete choice model that renders choice probabilities independent of the scale of the utility. The scale can thus be random with unspeci ed distribution. The model mostly outperforms the classical additive formulation over a range of stated choice data sets. In some cases, the improvement in likelihood is greater than that obtained from adding obs...

despite progress towards greater public engagement, questions about the optimal approach to access public preferences remain unanswered. we review two increasingly popular methods for engaging the public in healthcare priority-setting and determining their preferences; the citizens’ jury (cj) and discrete choice experiment (dce). we discuss the theoretical framework from which each method is de...