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This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Featuring survey articles by leading economists working on growth theory, this two-volume set covers theories of economic growth, the empirics of economic growth, and growth policies and mechanisms. It also covers technology, trade and geography, and growth and socio-economic development.
Maps capture data expressing the economic complexity of countries from Albania to Zimbabwe, offering current economic measures and as well as a guide to achieving prosperity Why do some countries grow and others do not? The authors of The Atlas of Economic Complexity offer readers an explanation based on "Economic Complexity," a measure of a society's productive knowledge. Prosperous societies are those that have the knowledge to make a larger variety of more complex products. The Atlas of Economic Complexity attempts to measure the amount of productive knowledge countries hold and how they can move to accumulate more of it by making more complex products. Through the graphical representation of the "Product Space," the authors are able to identify each country's "adjacent possible," or potential new products, making it easier to find paths to economic diversification and growth. In addition, they argue that a country's economic complexity and its position in the product space are better predictors of economic growth than many other well-known development indicators, including measures of competitiveness, governance, finance, and schooling. Using innovative visualizations, the book locates each country in the product space, provides complexity and growth potential rankings for 128 countries, and offers individual country pages with detailed information about a country's current capabilities and its diversification options. The maps and visualizations included in the Atlas can be used to find more viable paths to greater productive knowledge and prosperity.
The pressures of global competition are affecting regions throughout the world and making it increasingly necessary to understand the complex underlying mechanisms and the potential for innovation offered by new technology. Success in economic restructuring depends not only on the technology itself, but the professional and entrepreneurial skills available and the support of provided by institutions and information networks. The very local nature these phenomena, which are critical to the innovative propensity of firms operating within the region, introduces an inevitable spatial dimension. The time therefore seems ripe to bring together contributions from scholars working in different, but related disciplines, with the aim of investigating the triangular relationship between technological change, economic development and space. The present volume offers a compact review of current theoretical developments and valuable insights deriving from recent empirical studies carried out both within Europe and elsewhere. All those contributing to this volume are actively involved in research in the field. Without their intellectual contribution and willingness to participate in this joint project, the book would not have been possible. We should like, in addition, to thank Angela Spence for her capable assistance in coordinating the various stages of preparation of the book, as well as her translation work and careful linguistic editing. Thanks also go to Paola Stasi for her meticulous copy editing and help in preparing the indices. Their work has been invaluable in moulding together in a single volume contributions from so many different sources.
The Economics of Information Technology is a concise and accessible review of some of the important economic factors affecting information technology industries. These industries are characterized by high fixed costs and low marginal costs of production, large switching costs for users, and strong network effects. These factors combine to produce some unique behavior. The book consists of two parts. In the first part, Professor Varian outlines the basic economics of these industries. In the second part, Professors Farrell and Shapiro describe the impact of these factors on competition policy. The clarity of the analysis and exposition makes this an ideal introduction for undergraduate and graduate students in economics, business strategy, law and related areas.