World Bank Discussion Paper No. 302. Presents an alternative way of financing development in Sub-Saharan Africa in order to address the shortcomings of past investment lending. This study discusses sector investment programs (SIPs) as an alternative way of financing development in Sub-Saharan Africa in order to address the shortcomings of past investment lending in the region. The report examines the nature and features of SIPs by drawing on the limited experience with such operations in a number of coutries to date, including Bangladesh, Mozambique, Pakistan, Tanzania, and Zambia. A SIP is distinguished by its comprehensive sector coverage, by close coordination among all parties, including stakholders and donors, and by the requirement that it be formulated under local ownership and management
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.
Using data from several countries, including Cote d'Ivoire, India, Pakistan, Taiwan, and Thailand, this book analyzes household survey data from developing countries and illustrates how such data can be used to cast light on a range of short-term and long-term policy issues.
In recent years, citing the low price elasticity of demand for schooling, some economists have advocated increasing school fees to raise revenue for educational improvements in developing countries. But elasticities alone are not enough - one must estimate the willingness to pay for schooling improvements to see whether higher fees are in fact desirable. Using a rigorous theoretical model of the demand for schooling and the principle of compensating variations, the authors calculate the willingness to pay for new secondary schools in rural Peru. They find that rural Peruvian households are indeed willing to pay fees high enough to more than cover the operating costs of opening new secondary schools in their villages. This is even true of the poorest quarter of the income distribution.
This manual explains the planning process, technical procedures, and standards used in Living Standard Measurement Study (LSMS) household surveys, including what these procedures entail, why they are used, and how they can be implemented. It provides a factual description of different procedures and standards as well as their purpose and an explanation of their distinctions. The report offers explicit instructions, along with examples of ways LSMS survey procedures have been implemented in different countries. Although the lessons presented here are derived from LSMS surveys, many of them are applicable to surveys in general, and especially to those that are complex or especially concerned with quality control. Topics covered in this manual include technical aspects of questionnaire formatting and testing, methods of implementing sample design, and fieldwork and data management procedures that have been successful. The report sketches ideas about which directions to pursue in analyzing data, presents a brief description of how to assess local statistical capacity, and includes sample work plans and budgets to give surveyors estimates of how long each process will take.
Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
The measurement of food consumption and expenditure is a fundamental component of any analysis of poverty and food security, and hence the importance and timeliness of devoting attention to the topic cannot be overemphasized as the international development community confronts the challenges of monitoring progress in implementing the 2030 Agenda for Sustainable Development. In 2014, the International Household Survey Network published a desk review of the reliability and relevance of survey questions as included in 100 household surveys from low- and middle-income countries. The report was presented in March 2014 at the forty-fifth session of the United Nations Statistical Commission (UNSC), in a seminar organized by the Inter-Agency and Expert Group on Food Security, Agricultural and Rural Statistics (IAEG-AG). The assessment painted a bleak picture in terms of heterogeneity in survey design and overall relevance and reliability of the data being collected. On the positive side, it pointed to many areas in which even marginal changes to survey and questionnaire design could lead to a significant increase in reliability and consequently, great improvements in measurement accuracy. The report, which sparked a lot of interest from development partners and UNSC member countries, prompted IAEG-AG to pursue this area of work with the ultimate objective of developing, validating, and promoting scalable standards for the measurement of food consumption in household surveys. The work started with an expert workshop that took place in Rome in November 2014. Successive versions of the guidelines were drafted and discussed at various IAEG-AG meetings, and in another expert workshop organized in November 2016 in Rome. The guidelines were put together by a joint FAO-World Bank team, with inputs and comments received from representatives of national statistical offices, international organizations, survey practitioners, academics, and experts in different disciplines (statistics, economics, nutrition, food security, and analysis). A list of the main contributors is included in the acknowledgment section. In December 2017 a draft of the guidelines was circulated to 148 National Statistical Offices from low- to high-income countries for comments. The document was revised following that consultation and submitted to UNSC, which endorsed it at its forty-ninth session in March 2018 (under item 3(j) of the agenda, agricultural and rural statistics. The version presented here reflects what was endorsed by the Commission, edited for language. The process received support from the Global Strategy for Agricultural and Rural Statistics. The document is intended to be a reference document for National Statistical Offices, survey practitioners, and national and international agencies designing household surveys that involve the collection of food consumption and expenditure data.
This publication presents tools and techniques for measuring service delivery in health and education and people's experiences from the field in deploying these methods. It begins by providing an introduction to the different methodological tools available for evaluating the performance of the health and education sectors. Country specific experiences are then explored to highlight lessons on the challenges, advantages and disadvantages of using different techniques to measure quality in a variety of different contexts and of using the resulting data to affect change. This book is a valuable resource for those who seek to enhance capacity for the effective measurement of service delivery in order to improve accountability and governance and enhance the quality of service delivery in developing countries.
