Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.

This book, which comprises eight chapters, presents a comprehensive critical survey of the results and methods of laboratory experiments in economics. The first chapter provides an introduction to experimental economics as a whole, with the remaining chapters providing surveys by leading practitioners in areas of economics that have seen a concentration of experiments: public goods, coordination problems, bargaining, industrial organization, asset markets, auctions, and individual decision making. The work aims both to help specialists set an agenda for future research and to provide nonspecialists with a critical review of work completed to date. Its focus is on elucidating the role of experimental studies as a progressive research tool so that wherever possible, emphasis is on series of experiments that build on one another. The contributors to the volume--Colin Camerer, Charles A. Holt, John H. Kagel, John O. Ledyard, Jack Ochs, Alvin E. Roth, and Shyam Sunder--adopt a particular methodological point of view: the way to learn how to design and conduct experiments is to consider how good experiments grow organically out of the issues and hypotheses they are designed to investigate.

A small but increasing number of economists have begun to use laboratory experiments to evaluate economic propositions under carefully controlled conditions. Experimental Economics is the first comprehensive treatment of this rapidly growing area of research. While the book acknowledges that laboratory experiments are no panacea, it argues cogently for their effectiveness in selected situations. Covering methodological and procedural issues as well as theory, Experimental Economics is not only a textbook but also a useful introduction to laboratory methods for professional economists. Although the authors present some new material, their emphasis is on organizing and evaluating existing results. The book can be used as an anchoring device for a course at either the graduate or advanced undergraduate level. Applications include financial market experiments, oligopoly price competition, auctions, bargaining, provision of public goods, experimental games, and decision making under uncertainty. The book also contains instructions for a variety of laboratory experiments.

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.

This volume offers a comprehensive review of experimental methods in economics. Its 21 chapters cover theoretical and practical issues such as incentives, theory and policy development, data analysis, recruitment, software and laboratory organization. The Handbook includes separate parts on procedures, field experiments and neuroeconomics, and provides the first methodological overview of replication studies and a novel set-valued equilibrium concept. As a whole, the combination of basic methods and current developments will aid both beginners and advanced experimental economists.

Contains economic experiments designed for students who have not taken any economics. This book supplements any microeconomics text, is used by itself to teach principles. It includes features such as: a chapter on public goods; a chapter on network externalities; concepts of economic principles; problems and tie-ins to economics; and more.

This book provides researchers, students, and practitioners with a methodology to evaluate the impacts of a wide diversity of development projects and policies on local economies. Projects and policies often create spillovers within project areas. LEWIE uses simulation methods to quantify these spillovers. It has become a complement to randomized control trials (RCTs), as governments and donors become interested in documenting impacts beyond the treated, comparing the likely impacts of alternative interventions, and designing complementary interventions to influence program and policy impacts. It is also a tool for impact evaluation where RCTs are not feasible. Chapters 1-4 motivate and present the basics of impact simulation, including how to design a LEWIE model, how to estimate the model, and how to obtain the necessary data. The remaining chapters provide a diversity of interesting real-world applications and extensions of the basic models. The applications include evaluations of the impacts of cash transfers for the poor, ecotourism, global food-price shocks, irrigation projects, migration, and corruption. Each chapter provide readers with the tools they need to conduct their own local economy-wide impact evaluations. All models and data used in this book are available on-line.