Econometric Analysis of Health Data (Repost)

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 innovative applications of microeconometric methods to data on health and health care. Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include: * Latent Variables * Unobservable heterogeneity and selection problems * Count data and survival analysis * Flexible and semiparametric estimators for limited dependent variables * Classical and simulation methods for panel data * Publication marks the tenth anniversary of the Workshop series. Doctoral students and researchers in health economics and microeconomics will find this book invaluable. Researchers in related fields such as labour economics and biostatistics will also find the content of use.Content: Chapter 1 The Demand for Health: An Empirical Reformulation of the Grossman Model (pages 13–23): Adam WagstaffChapter 2 Health, Health Care, and the Environment: Econometric Evidence from German Micro Data (pages 25–36): Manfred Erbsland, Walter Ried and Volker UlrichChapter 3 Subjective Health Measures and State?Dependent Reporting Errors (pages 37–49): Marcel Kerkhofs and Maarten LindeboomChapter 4 The Effect of Smoking on Health Using a Sequential Self?Selection Model (pages 51–69): Kajal Lahiri and Jae G. SongChapter 5 A Comparison of Alternative Models of Prescription Drug Utilization (pages 71–86): Paul V. GrootendorstChapter 6 Estimates of Use and Costs of Behavioural Health Care: A Comparison of Standard and Finite Mixture Models (pages 87–99): Partha Deb and Ann M. HolmesChapter 7 Latent Class versus Two?Part Models in the Demand for Physician Services Across the European Union (pages 101–116): Sergi Jimenez?Martin, Jose M. Lebeaga and Maite Martinez?GranadoChapter 8 Proportional Treatment Effects for Count Response Panel Data: Effects of Binary Exercise on Health Care Demand (pages 117–132): Myoung?Jae Lee and Satoru KobayashiChapter 9 Estimating Surgical Volume – Outcome Relationships Applying Survival Models: Accounting for Frailty and Hospital Fixed Effects (pages 133–144): Barton H. Hamilton and Vivian H. HoChapter 10 Individual Cigarette Consumption and Addiction: A Flexible Limited Dependent Variable Approach (pages 145–157): Steven T. Yen and Andrew M. JonesChapter 11 Identifying Demand for Health Resources Using Waiting Times Information (pages 159–166): Richard Blundell and Frank WindmeijerChapter 12 Non? and Semi?Parametric Estimation of Age and Time Heterogeneity in Repeated Cross?Sections: An Application to Self?Reported Morbidity and General Practitioner Utilization (pages 167–177): David Parkin, Nigel Rice and Matthew SuttonChapter 13 Unobserved Heterogeneity and Censoring in the Demand for Health Care (pages 179–188): Angel Lopez?NicolasChapter 14 A Discrete Random Effects Probit Model with Application to the Demand for Preventive Care (pages 189–200): Partha DebChapter 15 The Use of Long?Term Care Services by the Dutch Elderly (pages 201–216): France Portrait, Maarten Lindeboom and Dorly DeegChapter 16 HMO Selection and Medicare Costs: Bayesian MCMC Estimation of a Robust Panel Data Tobit Model with Survival (pages 217–227): Barton H. Hamilton