This paper investigates immigrant assortative mating and relationship satisfaction. Using a modifi ed random eff ects ordered probit model, the paper demonstrates that spouses of mixed couples are signifi cantly less satisfi ed with their partner than nativeonly and foreign-only couples. JEL Classifi cation: F22, I31

A mixed-effects item response theory model that allows for three-level multivariate ordinal outcomes and accommodates multiple random subject effects is proposed for analysis of multivariate ordinal outcomes in longitudinal studies. This model allows for the estimation of different item factor loadings (item discrimination parameters) for the multiple outcomes. The covariates in the model do no...

Simultaneous observation of continuous and ordered categorical outcomes for each subject is common in biomedical research but multivariate analysis of the data is complicated by the multiple data types. Here we construct a model for the joint distribution of bivariate continuous and ordinal outcomes by applying the concept of latent variables to a multivariate normal distribution. The approach ...

This paper adapts sparse factor models for exploring covariation in multivariate binary data, with an application to measuring latent factors in U.S. Congressional roll call voting patterns. This straightforward modification provides two advantages over traditional factor analysis of binary data. First, a sparsity prior can be used to assess the evidence that a given factor loading may be exact...

The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the 'treatment') on a binary health outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal dependence using copulas. In an application of the copula bivariate probit model to the effect of ...

This paper investigates immigrant assortative mating and relationship satisfaction. Using a modifi ed random eff ects ordered probit model, the paper demonstrates that spouses of mixed couples are signifi cantly less satisfi ed with their partner than nativeonly and foreign-only couples. JEL Classifi cation: F22, I31

177 mental psychology wlherein deduced concepts and inductions from clinical observation are to be coml)ined in a comprehensive frame of reference within which psyclhological pheenomena in lhumans are to be understood. When a responise mlade by a living organism to a stimtultus must fall inlto one or the other of two mutually exclusive classes, it is knowvn as a quantal or all-or-nothing respon...

Gauss–Hermite quadrature is often used to evaluate and maximize the likelihood for random component probit models. Unfortunately, the estimates are biased for large cluster sizes and/or intraclass correlations. We show that adaptive quadrature largely overcomes these problems. We then extend the adaptive quadrature approach to general random coefficient models with limited and discrete dependen...

Longitudinal data with binary and ordinal outcomes routinely appear in medical applications. Existing methods are typically designed to deal with short measurement series. In contrast, modern longitudinal data can result in large numbers of subject-specific serial observations. In this framework, we consider multivariate probit models with random effects to capture heterogeneity and autoregress...

This article provides a framework for estimating the marginal likelihood for the purpose of Bayesian model comparisons . The approach extends and completes the method presented in Chib (1995) by overcoming the problems associated with the presence of intractable full conditional densities. The proposed method is developed in the context of MCMC chains produced by the Metropolis–Hastings algorit...