Applied Health Economics
Applied Health Economics Books
Product Description
Large-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of in rank for health economists. They offer the scope to control for individual heterogeneity and to develop the dynamics of individual behaviour. But the measures of outcome used in health economics are often qualitative or categorical. These make unique 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 matter-of-fact guide to the skills required to place these techniques into do.
This book illustrates matter-of-fact 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-People Survey (WHO-MCS). Assuming a familiarity with the basic syntax and structure of Stata, this book presents and clarifies the statistical output using empirical case studies rather than general theory.
Never before has a health economics text brought theory and do together and this book will be of fantastic benefit to applied economists, as well as advanced undergraduate and post graduate students in health economics and applied econometrics.
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I’m a political economist and yet I found this book extremely helpful. Very undemanding and pragmatic advice, including some of the finer points of testing develop forcefulness that are often skimmed over in other applied volumes.
Rating: 5 / 5