Applied Health Economics: Jones (Routledge Advanced Texts in Economics and Finance)

Large-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of information for health economists. They offer the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However the measures of outcome used in health economics are often qualitative or categorical. These create special problems for estimating econometric models. The dramatic growth in computing power over recent years has been accompanied by the development of methods that help to solve these problems. This book provides a practical guide to the skills required to put these techniques into practice. This book illustrates practical applications of these methods using data on health from, among others, the British Health and Lifestyle Survey (HALS), the British Household Panel Survey (BHPS), the European Community Household Panel (ECHP) and the WHO Multi-Country Survey (WHO-MCS). Assuming a familiarity with the basic syntax and structure of Stata, this book presents and explains the statistical output using empirical case studies rather than general theory. Never before has a health economics text brought theory and practice together and this book will be of great benefit to applied economists, as well as advanced undergraduate and post graduate students in health economics and applied econometrics. Book Cover......Page 1 Title......Page 4 Copyright......Page 5 Contents......Page 6 Illustrations......Page 8 Preface......Page 15 Acknowledgements......Page 17 Introduction......Page 20 Part I: Data description......Page 22 1 Data and survey design......Page 24 2 Describing the dynamics of health......Page 31 3 Inequality in health utility and self-assessed health......Page 47 Part II: Categorical data......Page 70 4 Bias in sell-reported data......Page 72 5 Health and lifestyles......Page 100 Part III: Survival data......Page 144 6 Smoking and mortality......Page 146 7 Health and retirement......Page 189 Part IV: Panel data......Page 219 8 Health and wages......Page 221 9 Modelling the dynamics of health......Page 245 10 Non-response and attrition bias......Page 285 11 Models for health-care use......Page 299 Bibliography......Page 339 Index......Page 346 The measures of outcome used in health economics are often categorical. These create special problems for estimating econometric models. The growth in computing power has been accompanied by the development of methods that help to solve these problems. This book acts as a guide to the skills required to put these techniques into practice. Given the use of individual level data sources in health economics, it has become important to understand the microeconometric techniques available to applied researchers. This title helps readers choose techniques suited to their data and to their economic model and illustrate the skills required to put techniques into practice Blending theory with practice, this book helps readers choose techniques suited both to their data and to their economic model, and illustrates the skills required to put these techniques into practice