{"product_id":"econometric-analysis-of-health-data-isbn-9780470841457","title":"Econometric Analysis of Health Data","description":"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.\u003cbr\u003e \u003cbr\u003e Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include:\u003cbr\u003e * Latent Variables\u003cbr\u003e * Unobservable heterogeneity and selection problems\u003cbr\u003e * Count data and survival analysis\u003cbr\u003e * Flexible and semiparametric estimators for limited dependent variables\u003cbr\u003e * Classical and simulation methods for panel data\u003cbr\u003e * Publication marks the tenth anniversary of the Workshop series.\u003cbr\u003e 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.Der Band erscheint zum 10. Jahrestag der Europäischen Workshop-Reihe \"Econometrics and Health Economics\".\u003cbr\u003e \u003cbr\u003e Da in der Gesundheitsökonomie verstärkt Einzelerhebungen zum Einsatz kommen, wird es für Forscher immer wichtiger, sich mit mikroökonometrischen Verfahren gut auszukennen.\u003cbr\u003e \u003cbr\u003e Dieser Band bietet dem Leser einen leichten Zugang zu einer Sammlung aktueller Beiträge zu innovativen Anwendungen mikroökonometrischer Methoden im Bereich Gesundheit und Gesundheitsvorsorge.\u003cbr\u003e \u003cbr\u003e Die Beiträge wurden aus Workshop-Protokollen ausgewählt, die in der Fachpublikation \"Health Economics\" veröffentlicht wurden.\u003cbr\u003e \u003cbr\u003e Diskutiert werden u.a. Latente Variablen, unbeobachtbare Heterogenität und Selektionsprobleme, Zähldaten und Überlebensanalyse, klassische - und Simulationsmethoden für Paneldaten.  List of Contributors.\u003cbr\u003e \u003cbr\u003e Preface.\u003cbr\u003e \u003cbr\u003e Introduction (Andrew M. Jones and Owen O'Donnell).\u003cbr\u003e \u003cbr\u003e PART I: LATENT VARIABLES AND SELECTION PROBLEMS.\u003cbr\u003e \u003cbr\u003e The demand for health: an empirical reformulation of the Grossman model. (Adam Wagstaff).\u003cbr\u003e \u003cbr\u003e Health, health care and the environment: Econometric evidence from German micro data.(Manfred Erbsland, Walter Ried and Volker Ulrich).\u003cbr\u003e \u003cbr\u003e Subjective health measures and state dependent reporting errors. (Marcel Kerkhofs and Maarten Lindeboom.)\u003cbr\u003e \u003cbr\u003e The effect of smoking on health using a sequential self-selection model. (Kajal Lahiri and Jae G. Song).\u003cbr\u003e \u003cbr\u003e PART II: COUNT DATA AND SURVIVAL ANALYSIS.\u003cbr\u003e \u003cbr\u003e A comparison of alternative models of prescription drug utilization. (Paul V. Grootendorst).\u003cbr\u003e \u003cbr\u003e Estimates of the use and costs of behavioural health care: a comparison of standard and finite mixture models. (Partha Deb and Ann M. Holmes).\u003cbr\u003e \u003cbr\u003e An empirical analysis of the demand for physician services across the European Union. (Sergi Jiménez-Martín, José M. Labeaga, Maite Martínez-Granado).\u003cbr\u003e \u003cbr\u003e Proportional treatment effects for count response panel data: Effects of binary exercise on health care demand. (Myoung-jae Lee and Saturo Kobayashi).\u003cbr\u003e \u003cbr\u003e Estimating surgical volume-outcome relationships applying survival models: accounting for frailty and hospital fixed effects. (Barton H. Hamilton and Vivian H. Ho).\u003cbr\u003e \u003cbr\u003e PART III: FLEXIBLE AND SEMIPARAMETIC ESTIMATORS.\u003cbr\u003e \u003cbr\u003e Individual cigarette consumption and addiction: a flexible limited dependent variable approach. (Steven T. Yen and Andrew M. Jones).\u003cbr\u003e \u003cbr\u003e Identifying demand for health resources using waiting times information. (Richard Blundell and Frank Windmeijer).\u003cbr\u003e \u003cbr\u003e Non- and semiparametric estimation of age and time heterogeneity in repeated cross-sections: an application to self-reported morbidity and general practitioner utilisation. (David Parkin, Nigel Rice and Matthew Sutton).\u003cbr\u003e \u003cbr\u003e PART IV: CLASSICAL AND SIMULATION METHODS FOR PANEL DATA.\u003cbr\u003e \u003cbr\u003e Unobserved heterogeneity and censoring in the demand for health care. (Angel López-Nicolás).\u003cbr\u003e \u003cbr\u003e A discrete random effects probit model with application to the demand for preventive care. (Partha Deb).\u003cbr\u003e \u003cbr\u003e The use of long-term care services by the Dutch elderly. (France Portrait, Maarten Lindeboom and Dorly Deeg).\u003cbr\u003e \u003cbr\u003e HMO selection and medical care costs: Bayesian MCMC estimation of a robust panel data probit model with survival. (Barton H. Hamilton).\u003cbr\u003e \u003cbr\u003e Index.  \"…an excellent information source for the econometrics practitioner…\" (Economic Outlook and Business Review, March 2003)  \u003cp\u003e\"…The balance obtained by the editors’ selection of papers works nicely…makes the volume more than just the sum of its parts…\" (Health Economics, Vol.12, No.4, 2003)\u003c\/p\u003e \u003cp\u003e\"...any health economist, regardless of particular interests, will find something of value here, and specialists in econometric methods will particularly benefit from the careful work done by the 28 contributors to this successful volume.\"  (Statistics in Medicine\u003cb\u003e,\u003c\/b\u003e 30 September 2003)\u003c\/p\u003e \u003cp\u003eAndrew Jones, PhD (York), Professor of Economics at the University of York, UK, where he was Head of the Department of Economics and Related Studies between January 2011 and september 2015. He was responsible for the running of the MSc in Health Economics at York between 1994 and 2011. During that time there were over 500 graduates from more than 70 different countries. He has also supervised 23 PhD students. He is a joint editor of Health Economics. He edited the Elgar Companion to Health Economics which was published in 2006 with 50 concise chapters that review the state-of-the-art in the field.\u003c\/p\u003e  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.\u003cbr\u003e \u003cbr\u003e Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include:\u003cbr\u003e * Latent variables\u003cbr\u003e \u003cbr\u003e * Unobservable heterogeneity and selection problems\u003cbr\u003e \u003cbr\u003e * Count data and survival analysis\u003cbr\u003e \u003cbr\u003e * Flexible and semiparametric estimators for limited dependent variables\u003cbr\u003e \u003cbr\u003e * Classical and simulation methods for panel data\u003cbr\u003e Publication marks the tenth anniversary of the Workshop series.\u003cbr\u003e \u003cbr\u003e 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.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989100937445,"sku":"NP9780470841457","price":284.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470841457.jpg?v=1761782799","url":"https:\/\/k12savings.com\/products\/econometric-analysis-of-health-data-isbn-9780470841457","provider":"K12savings","version":"1.0","type":"link"}