We study job mobility using a multivariate hazard model in discrete time. It involves two correlated random effects, one at the firm level and another at the worker level. Bayesian estimates are based on a Portuguese matched employer-employee dataset. Our results confirm the importance of...

The aim of this paper is to present a general EM algorithm to estimate Mixed Proportional Hazard models including more than one random effect, through partial likelihood. We assume only that the mixing distributions admit Laplace transforms. We show how to transform inference in a single...