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Economists are increasingly turning their attention to the
measurement and causes of health inequality. This is in response to
widespread concern that health disparities reflect social
injustices but is also part of the trend away from the narrow focus
on inequality in income to the more encompassing analysis of
inequality in wellbeing. Researchers interested in the extent and
causes of variation in wellbeing cannot but turn their analytical
gaze on health inequalities. This volume contains methodological
and empirical contributions from leading experts in health
economics and economic inequality that add further momentum to a
thriving field of research. The focus is on methods for the
measurement of health inequalities (income related,
multidimensional and inequalities of opportunity) as well as the
analysis of their causes. The collection is essential reading for
researchers already working on health inequality and provides an
immediate reconnaissance of the frontiers for those entering this
exciting field.
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.
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