This paper provides a primer on benefit incidence analysis (BIA) for macroeconomists and a new data set on the benefit incidence of education and health spending covering 56 countries over 1960-2000, representing a significant improvement in quality and coverage over existing compilations. The paper demonstrates the usefulness of BIA in two dimensions. First, the paper finds, among other things, that overall education and health spending are poorly targeted; benefits from primary education and primary health care go disproportionately to the middle class, particularly in sub-Saharan Africa, HIPCs and transition economies; but targeting has improved in the 1990s. Second, simple measures of association show that countries with a more propoor incidence of education and health spending tend to have better education and health outcomes, good governance, high per capita income, and wider accessibility to information. The paper explores policy implications of these findings.

Benefit incidence analysis offers an important perspective on budgets and can illuminate the distributional impacts of proposed reallocations of government resources among projects.

Two key policy goals in the health sector are equity and financial protection. New methods, data and powerful computers have led to a surge of interest in quantitative analysis that permits monitoring progress toward these objectives, and comparisons across countries. ADePT is a new computer program that streamlines and automates such work, ensuring that results are genuinely comparable and allowing them to be produced with a minimum of programming skills. This book provides a step-by-step guide to the use of ADePT for quantitative analysis of equity and financial protection in the health sect

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.

This paper provides a primer on benefit incidence analysis (BIA) for macroeconomists and a new data set on the benefit incidence of education and health spending covering 56 countries over 1960-2000, representing a significant improvement in quality and coverage over existing compilations. The paper demonstrates the usefulness of BIA in two dimensions. First, the paper finds, among other things, that overall education and health spending are poorly targeted; benefits from primary education and primary health care go disproportionately to the middle class, particularly in sub-Saharan Africa, HIPCs and transition economies; but targeting has improved in the 1990s. Second, simple measures of association show that countries with a more propoor incidence of education and health spending tend to have better education and health outcomes, good governance, high per capita income, and wider accessibility to information. The paper explores policy implications of these findings.