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...

mlogit is a package for R which enables the estimation the multinomial logit models with individual and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.

mlogit is a package for R which enables the estimation of the multinomial logit models with individual and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.

In this study, two-state Markov switching multinomial logit models are proposed for statistical modeling of accident-injury severities. These models assume Markov switching over time between two unobserved states of roadway safety as a means of accounting for potential unobserved heterogeneity. The states are distinct in the sense that in different states accident-severity outcomes are generate...

The spatial model has been in use in political science for close to 30 years, and in that period it has achieved a place of prime importance as our paradigm of the process of candidatechoice used by voters. For much of this time political scientists have estimated models of candidatechoice using binary logit or probit, even in cases where there were more than two choices facing voters. Recently...

this study examined the nature and patterns of rice consumption in nigeria, using kwara state as a case study. the study methodology comprised a two stage sampling technique which was used to survey 110 rice consumer households across two villages and six towns in kwara state. analytical tools used in the study include descriptive statistics and the multinomial logit model. the major factors th...

This paper discusses the representability of discrete logit-type models including multinomial logit and nested logit model from a mathematical approach. It is shown that the logit-type models can be reconstructed from mathematical approximation theory with sigmoidal functions widely used in Neural Network modeling without the basic assumptions such as IIA and iid, and the distribution (or densi...

This paper describes two Stata programs, mclgen and mclest, for imposing special restrictions on multinomial logistic models. MCL stands for Multinomial Conditional Logit, a term coined by Breen (1994). An MCL model uses a conditional logit program to estimate a multinomial logistic model. This produces the same log likelihood, estimates and standard errors, but allows greater flexibility in im...

This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit model can be applied to each mutually exclusive subset of the feature space without variable selection. By combining multiple models the pro...