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...

We generalize the specifications used in previous studies of the effect of body mass index (BMI) on earnings by allowing the potentially endogenous BMI variable to enter the log wage equation nonparametrically. We introduce a Bayesian posterior simulator for fitting our model that permits a...

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...

Using data from both the National Longitudinal Survey of Youth (NLSY) and High School and Beyond (HSB), we investigate if public high schools differ in the “production” of earnings and if rates of return to future education vary with public high school attended. Given evidence of such...

This paper seeks to empirically extend the gravity model, which has been widely used to analyze volumes of trade between pairs of countries. We generalize the basic threshold tobit model by allowing for the inclusion of country-specific effects into the analysis and also show how one can explore...

We revisit the work of Butler et al. (1998) who examine the effect of mathematical preparation on grades received in intermediate economic theory courses. Using a Bayesian approach under reasonably 'diffuse' priors, we are able to replicate their two-step point estimates almost exactly. We also...