This paper makes three contributions to the literature on group-based trajectory models. First, although a small literature exists applying Bayesian methods to single trajectory models, their expositions are targeted toward biostatisticians. We bridge this gap by developing a model for normally...

Model uncertainty has become a central focus of policy discussion surrounding the determinants of economic growth. Over 140 regressors have been employed in growth empirics due to the proliferation of several new growth theories in the past two decades. Recently Bayesian model averaging (BMA)...

We describe how to use the composite likelihood to ameliorate estimation, computational, and inferential problems in dynamic stochastic general equilibrium models. We present a number of situations where the methodology has the potential to resolve well-known problems. In each case we consider,...