Applied health economics [printed text] / Andrew Jones, Author ; Nigel Rice, Author ; Teresa Bago d'Uva, Author ; Silvia Balia, Author . - London : Routledge, 2007 . - 335 p. : ill. ; 24 cm. - ( Routledge Advanced Texts in Economics and Finance; 8) . ISBN : 978-0-415-39771-1 : $ 75,00 Languages : English ( eng)
| Descriptors: |
Classification
W 74 Medical economics. Health care costs (General)
Indexation
Econometrics ; Economics, Medical ; Health Care Economics and Organizations ; Health Occupations ; Models, Econometric ; Statistics ; Survival Analysis
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| Abstract: |
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. |
| Contents note: |
Introduction -- Part 1: Data Description -- 1. Data and Survey Design -- 2. Describing the Dynamics of Health -- 3. Inequality in Health Utility and Self-assessed Health -- Part 2: Categorical Data -- 4. Bias in Self-reported Data -- 5. Health and Lifestyles -- Part 3: Survival Data -- 6. Smoking and Mortality -- 7. Health and Retirement -- Part 4: Panel Data -- 8. Health and Wages -- 9. Modelling the Dynamics of Health -- 10. Non-Response and Attrition Bias -- 11. Models for Health Care Use |
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https://kce.docressources.info/index.php?lvl=notice_display&id=2110 |
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