included a choice experiment involving cars with various fuel types. Applying a standard logit model, we show that fuel …

disaggregated transportation goods. Empirical examination on Norwegian data indicates that higher tax rates on high-pollution luxury … modes of transportation such as air flights and taxis reduce inequality and increase the environmental quality. Lower tax … increase inequality somewhat. Railway passenger transportation appears to be distributionally neutral. In order to interpret …

Indirect taxes on transportation activities that pollute can correct externalities and close the gaps between private … environmental levies. This article estimates properties of the demand for transportation in parametric and non-parametric analyses …. Private transportation using air flights and new automobiles have Engel elasticities above unity while public transportation …

logit models are used to analyze the determi-nants of individual choice among destinations and vacation activities. Cramer … and Ridder's likelihood ratio test for pooled alternatives in multinomial logit models is sequentially applied in order to …

mixed logit model, it is complex to define the distribution of interest for the interval estimation problem. This latter …

In this paper we use Bayes estimates of a multinomial probit model with fully flexible substitution patterns to … forecast consumer response to ultra-low-emission vehicles. In this empirical application of the probit Gibbs sampler, we use …-assisted personal interviewing. We show that Bayesian estimation of a multinomial probit model with a full covariance matrix is feasible …

on how they relate to the bidders. In order to do this study, a Logit model is used. …

to recorded music in Colombia. To do so, probit models are estimated using micro-data from the Encuesta de Consumo …

, called betit, nests both logit and probit and allows for various skewed and peaked disturbance densities. Because the shape … paper considers asymptotic biases of the logit and probit models under conditions where betit should have been used. It also …

to the development of conditional maximum likelihood estimators and, more recently, to estimators that remove the O(T–1 …