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.