In this study, we examine the effect of SNAP on health quite generally, examining self-assessed health (SAH), healthy time, and basic health utilization measures as outcomes. Our approach is to model outcomes and participation simultaneously, using exogenous variation in state eligibility to...

This paper develops and implements a GMM estimator for latent class models suitable for count data. The estimator uses conditional moment restrictions derived from standard count models. Both the efficient and consistent variants are considered. The implementation of optimal GMM based on...

In this study, we examine the effect of SNAP on health quite generally, examining self-assessed health (SAH), healthy time, and basic health utilization measures as outcomes. Our approach is to model outcomes and participation simultaneously, using exogenous variation in state eligibility to...

The minimum density power divergence (MDPD) framework (Basu et al., 1998) provides a family of estimators indexed by a parameter (α), which controls the tradeoff between efficiency and robustness. In this paper, we extend this estimation framework to finite mixtures of regression models. In...

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...

In this article we develop a finite mixture negative binomial count model that accommodates unobserved heterogeneity in an intuitive and analytically tractable manner. This model, the standard negative binomial model, and its hurdle extension are estimated for six measures of medical care demand...