Econometric analysis of health data
Given extensive use of individual level data in Health Economics, it has become increasingly important to understand the microeconometric techniques available to applied researchers. The purpose of this book is to give readers convenient access to a collection of recent contributions that contain in...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, England :
John Wiley & Sons, Ltd
2002.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009665114906719 |
Tabla de Contenidos:
- Econometric Analysis of Health Data; Dedication; Contents; List of Contributors; Preface; Introduction; I: Latent Variables and Selection Problems; 1 The demand for health: an empirical reformulation of the Grossman model; 2 Health, health care, and the environment: Econometric evidence from German micro data; 3 Subjective health measures and state-dependent reporting errors; 4 The effect of smoking on health using a sequential self-selection model; II: Count Data and Survival Analysis; 5 A comparison of alternative models of prescription drug utilization
- 6 Estimates of the use and costs of behavioural health care: a comparison of standard and finite mixture models7 Latent class versus two-part models in the demand for physician services across the European Union; 8 Proportional treatment effects for count response panel data: effects of binary exercise on health care demand; 9 Estimating surgical volume-outcome relationships applying survival models: accounting for frailty and hospital fixed effects; III: Flexible and Semiparametric Estimators; 10 Individual cigarette consumption and addiction: a flexible limited dependent variable approach
- 11 Identifying demand for health resources using waiting times information12 Non- and semi-parametric estimation of age and time heterogeneity in repeated cross-sections: an application to self-reported morbidity and general practitioner utilization; IV: Classical and Simulation Methods for Panel Data; 13 Unobserved heterogeneity and censoring in the demand for health care; 14 A discrete random effects probit model with application to the demand for preventive care; 15 The use of long-term care services by the Dutch elderly
- 16 HMO selection and medical care costs: Bayesian MCMC estimation of a robust panel data probit model with survivalIndex
