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Index based insurance schemes can play a vital role in insuring poor people in developing countries against a multitude of risk. However, the concept doesn’t go along without any obstacles. Matthias Rödl provides a theoretical framework of index based insurance schemes and further highlights where the latter distinguishes from a classic indemnity insurance. Thereby, scholars can gain a comprehensive theoretical insight into the topic, while practitioners are enabled to identify and understand fundamental challenges for their project upfront as well as to foster sound solutions.
Addressing the challenge of covering heath care expenses—while minimizing economic risks. Moral hazard—the tendency to change behavior when the cost of that behavior will be borne by others—is a particularly tricky question when considering health care. Kenneth J. Arrow’s seminal 1963 paper on this topic (included in this volume) was one of the first to explore the implication of moral hazard for health care, and Amy Finkelstein—recognized as one of the world’s foremost experts on the topic—here examines this issue in the context of contemporary American health care policy. Drawing on research from both the original RAND Health Insurance Experiment and her own research, including a 2008 Health Insurance Experiment in Oregon, Finkelstein presents compelling evidence that health insurance does indeed affect medical spending and encourages policy solutions that acknowledge and account for this. The volume also features commentaries and insights from other renowned economists, including an introduction by Joseph P. Newhouse that provides context for the discussion, a commentary from Jonathan Gruber that considers provider-side moral hazard, and reflections from Joseph E. Stiglitz and Kenneth J. Arrow. “Reads like a fireside chat among a group of distinguished, articulate health economists.” —Choice
Governments in developing countries have been increasingly involved in the support of agricultural (crop and livestock) insurance programs in recent years. In their attempts to design and implement agricultural insurance, they have sought technical and financial assistance from the international community and particularly from the World Bank. One of the recurrent requests from governments regards international experience with agricultural insurance, not only in developed countries, where in some cases agricultural insurance has been offered for more than a century, but also in middleand low-income countries. Governments are particularly interested in the technical, operational, financial, and institutional aspects of public support to agricultural insurance. 'Government Support to Agricultural Insurance' informs public and private decision makers involved in agricultural insurance about recent developments, with a particular focus on middle- and low-income countries. It presents an updated picture of the spectrum of institutional frameworks and experiences with agricultural insurance, ranging from countries in which the public sector provides no support to those in which governments heavily subsidize agricultural insurance. This analysis is based on a survey conducted by the World Bank s agricultural insurance team in 2008 in 65 developed and developing countries. Drawing on the survey results, the book identifies some key roles governments can play to support the development of sustainable, affordable, and cost-effective agricultural insurance programs.
Agricultural mechanization in Africa south of the Sahara — especially for small farms and businesses — requires a new paradigm to meet the needs of the continent’s evolving farming systems. Can Asia, with its recent success in adopting mechanization, offer a model for Africa? An Evolving Paradigm of Agricultural Mechanization Development analyzes the experiences of eight Asian and five African countries. The authors explore crucial government roles in boosting and supporting mechanization, from import policies to promotion policies to public good policies. Potential approaches presented to facilitating mechanization in Africa include prioritizing market-led hiring services, eliminating distortions, and developing appropriate technologies for the African context. The role of agricultural mechanization within overall agricultural and rural transformation strategies in Africa is also discussed. The book’s recommendations and insights should be useful to national policymakers and the development community, who can adapt this knowledge to local contexts and use it as a foundation for further research.
Over the past twenty years, many low- and middle-income countries have experimented with health insurance options. While their plans have varied widely in scale and ambition, their goals are the same: to make health services more affordable through the use of public subsidies while also moving care providers partially or fully into competitive markets. Colombia embarked in 1993 on a fifteen-year effort to cover its entire population with insurance, in combination with greater freedom to choose among providers. A decade later Mexico followed suit with a program tailored to its federal system. Several African nations have introduced new programs in the past decade, and many are testing options for reform. For the past twenty years, Eastern Europe has been shifting from government-run care to insurance-based competitive systems, and both China and India have experimental programs to expand coverage. These nations are betting that insurance-based health care financing can increase the accessibility of services, increase providers' productivity, and change the population's health care use patterns, mirroring the development of health systems in most OECD countries. Until now, however, we have known little about the actual effects of these dramatic policy changes. Understanding the impact of health insurance–based care is key to the public policy debate of whether to extend insurance to low-income populations—and if so, how to do it—or to serve them through other means. Using recent household data, this book presents evidence of the impact of insurance programs in China, Colombia, Costa Rica, Ghana, Indonesia, Namibia, and Peru. The contributors also discuss potential design improvements that could increase impact. They provide innovative insights on improving the evaluation of health insurance reforms and on building a robust knowledge base to guide policy as other countries tackle the health insurance challenge.
The coronavirus pandemic has upended local, national, and global food systems, and put the Sustainable Development Goals further out of reach. But lessons from the world’s response to the pandemic can help address future shocks and contribute to food system change. In the 2021 Global Food Policy Report, IFPRI researchers and other food policy experts explore the impacts of the pandemic and government policy responses, particularly for the poor and disadvantaged, and consider what this means for transforming our food systems to be healthy, resilient, efficient, sustainable, and inclusive. Chapters in the report look at balancing health and economic policies, promoting healthy diets and nutrition, strengthening social protection policies and inclusion, integrating natural resource protection into food sector policies, and enhancing the contribution of the private sector. Regional sections look at the diverse experiences around the world, and a special section on finance looks at innovative ways of funding food system transformation. Critical questions addressed include: - Who felt the greatest impact from falling incomes and food system disruptions caused by the pandemic? - How can countries find an effective balance among health, economic, and social policies in the face of crisis? - How did lockdowns affect diet quality and quantity in rural and urban areas? - Do national social protection systems such as cash transfers have the capacity to protect poor and vulnerable groups in a global crisis? - Can better integration of agricultural and ecosystem polices help prevent the next pandemic? - How did companies accelerate ongoing trends in digitalization and integration to keep food supply chains moving? - What different challenges did the pandemic spark in Asia, Africa, and Latin America and how did these regions respond?
Handbook of Agricultural Economics, Volume Five highlights new advances in the field, with this new release exploring comprehensive chapters written by an international board of authors who discuss topics such as The Economics of Agricultural Innovation, Climate, food and agriculture, Agricultural Labor Markets: Immigration Policy, Minimum Wages, Etc., Risk Management in Agricultural Production, Animal Health and Livestock Disease, Behavioral and Experimental Economics to Inform Agri-Environmental Programs and Policies, Big Data, Machine Learning Methods for Agricultural and Applied Economists, Agricultural data collection to minimize measurement error and maximize coverage, Gender, agriculture and nutrition, Social Networks Analysis In Agricultural Economics, and more. Presents the latest release in the Handbook of Agricultural Economics Written and contributed by leaders in the field Covers topics such as The Economics of Agricultural Innovation, Climate, Food and Agriculture, Agricultural Labor Markets, and more
Specialist groups have often advised health ministers and other decision makers in developing countries on the use of social health insurance (SHI) as a way of mobilizing revenue for health, reforming health sector performance, and providing universal coverage. This book reviews the specific design and implementation challenges facing SHI in low- and middle-income countries and presents case studies on Ghana, Kenya, Philippines, Colombia, and Thailand.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.