As shown by Guimaraes, Figueiredo and Woodward (2003), a particular class of conditional logit models yield identical parameter estimates to a Poisson count data model. In Schmidheiny and Brülhart (2011), we have pointed out that the conditional logit model and the Poisson model can be seen as polar cases of a continuum of intermediate cases which emerge from a random utility nested logit model...

Estimation of disaggregate mode choice models to estimate the ridership share on a proposed new (or improved) intercity travel service and to identify the modes from which existing intercity travelers will be diverted to the new or upgraded service constitutes a critical part of evaluating alternative travel service proposals to alleviate intercity travel congestion. This paper develops a new h...

The Multinomial Logit, discrete choice model of transport demand, has several restrictions when compared with the more general Multinomial Probit model. The most famous of these are that unobservable components of utilities should be mutually independent and homoskedastic. Correlation can be accommodated to a certain extent by the Hierarchical Logit model, but the problem of heteroskedasticity ...

We give a two-line proof of long-standing conjecture Ben-Akiva and Lerman (1985) regarding the random utility representation nested logit model, thus providing renewed straightforward textbook treatment that model. As an application, we provide closed-form formula for correlation between two Fr\'echet variables coupled by Gumbel copula.

It is well understood that the two most popular empirical models of location choice conditional logit and Poisson return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions. The conditional logit model represents a zero-sum world, in which one region's gain is the other regions' loss....

The nested logit model has been used extensively to model multi-dimensional choice situations. A drawback of the nested logit model is that it does not allow choice alternatives to share common unobserved attributes along all the dimensions characterizing the multi-dimensional choice context. This paper formulates a mixed multinomial logit structure that accommodates unobserved correlation acro...

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...