The methodology of econometrics is concerned with rules governing the building of statistical models in economics. These two volumes draw together 62 previously published studies in economics and statistics. The volumes are divided into 12 sections covering controversial topics ranging from the...

This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components. The approach treats the points on each nonparametric...

In this paper we describe methods for predicting distributions of outcome gains in the framework of a latent variable selection model. We describe such procedures for Student-t selection models and a finite mixture of Gaussian selection models. Importantly, our algorithms for fitting these...

This article provides Bayesian interpretations for White's <italic>heteroskedastic consistent</italic> (HC) covariance estimator, and various modifications of it, in linear regression models. An informed Bayesian bootstrap provides a useful framework.