This chapter describes how transportation demand is analyzed and what has been learned from doing so. We first present a selection of the most important transportation demand models, with an emphasis on disaggregate models because they have generally been the most successful in capturing...

This paper describes Bayesian procedures for forecasting countries' output growth rates and medians of a set of output growth rates using the Gibbs sampler.

Chib and Hamilton (2000) discuss Bayesian estimation of treatment response models subject to the restriction that the cross-regime correlation parameter is zero. This note points out important consequences of that restriction, and argues that the range of applicability of such an approach is...

Modern panel surveys frequently suffer from high and non-ignorable attrition, and transportation surveys suffer from poor travel estimates. We illustrate the impact of attrition and measurement error on a standard conditional logit model of commuters' mode choice (solo drive in free lanes, pay...

We consider a model with two types of consumers, with each preferring a different variety of goods, and with each better at producing the type of good it prefers to consume. We find that under plausible conditions members of the majority group earn a higher wage and enjoy higher utility than...

A growing literature has brought to our attention the importance of information transmission and aggregation for economic and political behavior. Many recent studies of cascades point to the possibility of information cascades in economies with local learning and information transmission....