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 …

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 …

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" …

Multinomial logit models are used to model relationships between a polytomous response
variable and a set of regressor variables. The term “multinomial logit model” includes, in a …

Until recently, computational constraints forced researchers in thediscrete choice area to
limit themselves to very simple statistical models, such as the multinomial logit (MNL), in …

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 …

Methodological developments in conjoint analysis (Green & Srinivasan 1990; Louviere
1988) have created many alternatives for designing and conducting conjoint experiments …

This paper introduces new forms, sampling and estimation approaches fordiscrete choice
models. The new models include behavioral specifications oflatent class choice models …

1 2 5pg; 1997 nterest in discrete choice models as applied to choice-based conjoint analysis
has grown considerably over the past several years, for good reason. People make choices …

The authors compare a variety of different designs for choice experiments that satisfy the
properties of the MNL model. These include both previously published and new design …