Understanding health-care utilization is important to design efficient and effective health-care systems. Towards this end, we propose a relatively simple and intuitively appealing microeconometric framework based on a two-part model to investigate the determinants that increase the probability...

This article proposes an approximate conditional dynamic finite mixture hurdle model for panel count data with excess of zeros and endogenous initial conditions. We provide parameter estimates by using the Expectation-Maximization (EM) algorithm in a Nonparametric Maximum Likelihood (NPML)...