Several consumer demand choices are characterized by the choice of multiple alternatives simultaneously. An example of such a choice situation in activity-travel analysis is the type of discretionary (or leisure) activity to participate in and the duration of time investment of the participation. In this context, within a given temporal period (say a day or a week), an individual may decide to ...

SUMMARY. A rich class of parametric models is proposed for discrete choice data based on the scale mixtures of multivariate normal distributions. With special connections to multinomial probit, the new models can be implemented in a Bayesian framework without much diiculty. The proposed class of models can be extended to panel data where accounting for heterogeneities is needed. This is done by...

DCM (Discrete Choice Models) is a package for estimating a class of discrete choice models. DCM is a class written in Ox, that implements a wide range of discrete choice models including standard binary response models, with notable extensions including conditional mixed logit, mixed probit, multinomial probit, and random coefficient ordered choice models. The current version can handle both cr...

background: health workforce shortages in rural and remote areas are a global challenge that almost every health system has to deal with. this study aimed to discover neurosurgeons’ job preferences and propose policy interventions that could possibly increase their retention in rural, remote, or underserved areas. methods: a discrete choice experiment (dce) was conducted in november 2014 with a...

This paper analyzes tobacco demand within a discrete choice framework. Using binomial and multinomial logit models with random effects, and an unbalanced panel data set of Norwegian households over a twenty year period, we first consider the decisions a) whether to smoke or not, and b) given the choice is to smoke, whether to smoke hand rolled or manufactured cigarettes. Next, we consider a mul...

Abstract The study of network formation is pervasive in economics, sociology, and many other fields. In this article, we model as a ‘choice’ that made by nodes to connect nodes. We these ‘choices’ using discrete-choice models, which agents choose between two or more discrete alternatives. employ the ‘repeated-choice’ (RC) formation. argue RC overcomes important limitations multinomial logit (MN...

a r t i c l e i n f o Modeling of transportation mode choices has in the past primarily dealt with everyday short-distance travel and long-distance business travel. The present paper adds to this research in examining the long-distance transportation mode choices of tourists. The empirical setting is the domestic tourism market in Norway, and the analyses refer to Norwegians' winter vacation tr...

This paper provides two main contributions to binary choice models with endogenous regressors. First, we propose some variants of special regressor based estimators that are numerically trivial to implement. These estimators provide consistent estimates of binary choice model coef cients when regressors (either discretely or continuously distributed) are endogenous, and when the latent errors h...

The value of time (VOT) is one of the most important values in transportation planning. Although the trip-based models are widely used for estimating the VOT, the trip-based travel model can evaluate the VOT for travelers only. This paper formulates the individual’s choice of whether to travel or not with an activity-based modeling approach. I develop a discrete choice model and a discrete-cont...