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 this paper we develop a two-step survival time approach – a discrete logit model with survival time dummies – that allows for time-varying explanatory variables and interval censored data. Our empirical analysis reveals that the twostep approach outperforms the benchmark logit model with respect to out-ofsample prediction accuracy. Survival time, however, does not play an important role. The...

This paper compares neural network models with the standard logit and probit models, the most widely used choice/classi cation models in current empirical research, and explores the application of neural network models in analyzing political choice/classi cation problems. Political relationships are usually nonlinear and of unknown functional forms, and political data are likely noisy. The logi...

The determinants of transitions between di erent states of nancial distress are analyzed using two versions of Markov chain models: a multinomial logit model without random e ects and a multinomial logit model capturing such unobservable factors. The empirical analysis is based on a panel data set containing information on 15,538 East German rms founded between 1994 and 1999. The estimation res...

The purpose of this paper is to examine the determinants of the timing of bank failure/merger in 10 Asian countries over the period of 1999-2007 using a multivariate logit model and a split population duration analysis. Apart from bank-specific information, we also focus on the effects of macroeconomic and financial characteristics. The following empirical findings are obtained. First, the resu...

backgrounds and aims: the tehran province was subject to the second highest incidence of fatalities due to traffic accidents in 1390. most studies in this field examine rural traffic accidents, but this study is based on the use of logit models and artificial neural networks to evaluate the factors that affect the severity of accidents within the city of tehran. materials and methods: among the...

Logit kernel is a discrete choice model that has both probit-like disturbances as well as an additive i.i.d. extreme value (or Gumbel) disturbance à la multinomial logit. The result is an intuitive, practical, and powerful model that combines the flexibility of probit with the tractability of logit. For this reason, logit kernel has been deemed the “model of the future” and is becoming extremel...

The Independence of Irrelevant Alternatives (IIA) property of the multinomial logit (MNL) model imposes the restriction of zero covariance between the utilities of pairs of alternatives. This restriction is inappropriate for many choice situations; those in which some pairs or sets of alternatives share the same unobserved attributes. The nested logit (NL) model relaxes the zero covariance rest...