Abstract This paper develops finite mixture models with fixed effects for two families of distributions for which the incidental parameter problem has a solution. Analytical results are provided for mixtures of Normals and mixtures of Poisson. We provide algorithms based on the...

This paper estimates treatment effects of managed care plans on the utilization of health care services using data from two contemporaneous, nationally representative household surveys from the USA. The paper exploits recent advances in simulation-based econometrics to take the endogeneity of...

SUMMARY In this paper, we estimate a copula‐based bivariate dynamic hurdle model of prescription drug and nondrug expenditures to test the cost‐offset hypothesis, which posits that increased expenditures on prescription drugs are offset by reductions in other nondrug expenditures. We apply...

The aim of The Elgar Companion to Health Economics is to take an audience of advanced undergraduates, postgraduates and researchers to the frontier of research in health economics, by providing them with short and easily readable introductions to key topics. The volume brings together 50...

This comprehensive collection brings together more than 50 contributions from some of the most influential researchers in health economics. It authoritatively covers theoretical and empirical issues in health economics, with a balanced range of material on equity and efficiency in health care...

This paper studies the effect of managed care on medical expenditure using a model in which the insurance status is assumed to be endogenous. Insurance plan choice is modeled through the multinomial probit model. The medical expenditure variable, the outcome of interest, has a significant...

This article analyzes the effect of gatekeeper and network restrictions on use of health-care services using simulation-based estimation methods. Data from the Community Tracking Survey (1996-1997) show significant evidence of selection into plans with gatekeeper and|or network restrictions....

We develop a model specification and estimation framework that is applicable to many microeconometric models which fall into a treatment-outcome framework. We apply our methodology to examine the causal effect of man-aged care on the utilization of health care services. Specifically, we jointly...

We describe specification and estimation of a multinomial treatment effects negative binomial regression model. A latent factor structure is used to accommodate selection into treatment, and a simulated likelihood method is used for estimation. We describe its implementation via the mtreatnb...

We develop a specification and estimation framework for a class of nonlinear, non-normal microeconometric models of treatment and outcome with selection. A latent factor structure is used to accommodate selection into treatment and a simulated likelihood method is used for estimation. The...