Increased focus on income inequality and distributional issues has made incidence analysis a crucial input into policy decisions. This note presents the theoretical framework used to conduct incidence analysis of fuel price subsidy reform and presents a user-friendly tool for its application. This new tool requires limited inputs and has the advantage of using the commonly available software program Excel. The note presents an illustration based on the case of Brazil, using the 2005 household survey and input-output table. The results reinforce the typical finding that fuel subsidies benefit well-off households and that their removal would be progressive.

In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

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.

To stabilize the climate, global greenhouse gas emissions must be cut by 25 to 50 percent by 2030 compared to 2019. Such an unprecedented rate of decarbonization necessitates climate mitigation policies across countries, notably carbon pricing, fossil fuel subsidy reform, renewable subsidies, feebates, emission rate regulations, and public investments. To design and implement effective, efficient, and equitable policies, governments need tools to assess economic, environmental, fiscal, and social impacts. To support this effort, the IMF and World Bank are making their joint Climate Policy Assessment Tool (CPAT) available to governments. CPAT is a transparent, flexible, and user-friendly model covering over 200 countries. It allows for the rapid quantification of impacts of climate mitigation policies, including on energy demand, prices, emissions, revenues, welfare, GDP, households and industries, local air pollution and health, and many other metrics. This paper describes the CPAT model, its data sources, key assumptions, and caveats.

Reviews techniques and tools that can be used to evaluate the poverty and distributional impact of economic policy choices. This title describes the most robust techniques and tools, from the simplest to the most complex, and aims to identify best practices. It also addresses an evaluation technique and its applications.

The World Bank has partnered with the Commitment to Equity Institute at Tulane University to implement their diagnostic tool—the Commitment to Equity (CEQ) Assessment—designed to assess how taxation and public expenditures affect income inequality, poverty, and different economic groups. The approach relies on comprehensive fiscal incidence analysis, which measures the contribution of each individual intervention to poverty and inequality reduction as well as the combined impact of taxes and social spending. The CEQ Assessment provide an evidence base upon which alternative reform options can be analyzed. The use of a common methodology makes the results comparable across countries. This volume presents eight country studies that examine the distributional effects of individual programs and policy measures—and the net effect of each country’s mix of policies and programs. These case studies were produced in the context of Bank policy dialogue and have since been used to propose alternative reform options.