This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

This paper considers the problem of making inferences about the effects of a program on multiple outcomes when the assignment of treatment status is imperfectly randomized. By imperfect randomization we mean that treatment status is reassigned after an initial randomization on the basis of...

Newborn health is an important component in the chain of intergenerational transmission of disadvantage. This paper contributes to the literature on the determinants of health at birth in two ways. First, we analyze the role of maternal endowments and investments (education and smoking in...

Newborn health is an important component in the chain of intergenerational transmission of disadvantage. This paper contributes to the literature on the determinants of health at birth in two ways. First, we analyze the role of maternal endowments and investments (education and smoking in...

This paper derives simply computed closed-form expressions for the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), Local Average Treatment Effect (LATE) and Marginal Treatment Effect (MTE) in a latent variable framework for both normal and non-normal models. The...