Introduction -- Data for health equity analysis: requirements, sources, and sample design -- Health outcome #1: child survival -- Health outcome #2: anthropometrics -- Health outcome #3: adult health -- Measurement of living standards -- Concentration curves -- The concentration index -- Extensions to the concentration index: inequality aversion and the health achievement index -- Multivariate analysis of health survey data -- Nonlinear models for health and medical expenditure data -- Explaining differences between groups: Oaxaca decomposition -- Explaining socioeconomic-related health inequality: decomposition of the concentration index -- Who benefits from health sector subsidies? benefit incidence analysis -- Measuring and explaining inequity in health service delivery -- Who pays for health care? progressivity of health finance -- Redistributive effect of health finance -- Catastrophic payments for health care -- Health care payments and poverty
Summary
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. 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 financi
Bibliography
Includes bibliographical references
Notes
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
English
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