The large sample property of the Bayesian bootstrap distribution of the quantile regression estimator is investigated. When the pair of dependent and independent variables are resampled, the Bayesian bootstrap is shown to converge weakly in probability to the limiting distribution of the...

Modeling choices that are both discrete and continuous is important in several settings. The purpose of this article is to explore formulation and identification of such models when indirect utility functions are specified nonparametrically. Here we consider general nonseparable disturbances. We...