We develop new methods for conducting a finite sample, likelihood-based analysis of the multinomial probit model. Using a variant of the Gibbs sampler, an algorithm is developed to draw from the exact posterior of the multinomial probit model with correlated errors. This approach avoids direct evaluation of the likelihood and, thus, avoids the problems associated with calculating choice probabi...

In statistics, a multinomial logit (MNL) model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes.[1] That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which...

Reducing car trips and promoting green commuting modes are generally considered important solutions to reduce the increase of energy consumption and transportation CO2 emissions. One potential solution for alleviating transportation CO2 emissions has been to identify a role for the employer through green commuter programs. This paper offers an approach to assess the effects of employer attitude...

The aim of this paper is to contribute to describe the simultaneous choice of travel mode and 1 departure time by making use of a cross-nested logit structure that allows for the joint representation of 2 inter-alternative correlation along the both choice dimensions. Traditional multinomial logit model and 3 nested logit model are formulated respectively. The analysis uses the Revealed Prefere...

In surveys, and most notably in election polls, undecided participants frequently constitute subgroups of their own with specific individual characteristics. While traditional survey methods and corresponding statistical models are inherently damned to neglect this valuable information, an ontic random set view provides us with the full power of the whole statistical modelling framework. We ela...

Three criticisms of the contingent valuation method (CVM) are considered in this article. One technique that would appear to answer such criticisms is choice modelling (CM). CM permits value estimates for di¡erent goods sharing a common set of attributes to be pieced together using the results of a single multinomial (conditional) logit model. The CM approach to environmental value assessment i...

On a shopping trip to a supermarket a customer may purchase a product in a given category and, if so, buys a particular brand. A previous paper by the authors models the brand choice part of this process. A multinomial logit model describes the selection of brand and size given that the customer makes a category purchase. Explanatory variables include store actions, such as price and promotion,...

Multinomial Choice: Data consists of consumer choices of various goods, along char­ acteristics. Let there be J choices and y = (y1, . . . , yJ ) where yj = 1 if good j is chosen and yj = 0 otherwise. Let x be observed characteristics of the goods and choices. Here a conditional density for y corresponds to conditional choice probabilities P (j|x, β), one for each j, with �J j=1 P (j|x, β) = 1 ...