| Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and their Implementation Contributor(s): O'Donnell, Owen (Author), Van Doorslaer, Eddy (Author), Wagstaff, Adam (Author) |
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ISBN: 0821369334 ISBN-13: 9780821369333 Publisher: World Bank Publications OUR PRICE: $27.72 Product Type: Paperback Published: July 2007 Annotation: This book provides a step-by-step practical guide to the measurement of a variety of aspects of health equity, with worked examples and code for Stata and SPSS. It also provides practical advice on a variety of associated issues such as measuring health and living standards, and the application of regression analysis to health data. |
| Additional Information |
| BISAC Categories: - Medical | Health Policy |
| Dewey: 614.420 |
| LCCN: 2007007972 |
| Series: WBI Learning Resources (Paperback) |
| Physical Information: 0.52" H x 8.27" W x 10.94" (1.22 lbs) 165 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Have gaps in health outcomes between the poor and better off grown? Are they larger in one country than another? Are health sector subsidies more equally distributed in some countries than others? Are health care payments more progressive in one health care financing system than another? What are catastrophic payments and how can they be measured? How far do health care payments impoverish households? Answering questions such as these requires quantitative analysis. This in turn depends on a clear understanding of how to measure key variables in the analysis, such as health outcomes, health expenditures, need, and living standards. It also requires set quantitative methods for measuring inequality and inequity, progressivity, catastrophic expenditures, poverty impact, and so on. This book provides an overview of the key issues that arise in the measurement of health variables and living standards, outlines and explains essential tools and methods for distributional analysis, and, using worked examples, shows how these tools and methods can be applied in the health sector. The book seeks to provide the reader with both a solid grasp of the principles underpinning distributional analysis, while at the same time offering hands-on guidance on how to move from principles to practice. |