All disaggregate multiattribute choice models contain the assumption that the population is
reasonably homogeneous with respect to the aggregate parameters estimated by the model …

Standard practice in the application of disaggregate choice models is to assume all
members of a (sample) population use the same basic decision process, and thus to employ …

The authors argue that for the cross-sectional multiattribute approach to choice modeling,
the multinomial logit is theoretically and empirically superior to the more commonly used …

This paper describes an approach to estimating multinomial logit models of a single
decision maker's choice behavior. This approach is based on a recently developed" …

The article presents information on the conjoint analysis model approach in research. The
most recent developments in choice modeling dispense with self-explicated data entirely …

The state of the art in applying the various disaggregate choice algorithms is to assume
homogeneity of choice process within the population being analyzed. This article uses the …

This paper uses a statistical test developed by Horowitz and Louviere (1993) to compare the
parameters of several logit models estimated from different preference measures. This test …

This report shows you how to use the multinomial logit model (Manski and McFadden, 1981;
Louviere and Woodworth, 1983) to investigate consumer's stated choices. The multinomial …

A two-stage disaggregate attribute choice model is proposed and empirically implemented.
The first stage of the model is attribute processing to screen the number of alternatives down …

Models that rely on the assumption of simple scalability have dominated multiattribute
choice and preference modeling for almost 20 years, despite the fact that simple scalability …