A collection of the major papers of Vernon L. Smith, the main creator of the new field of experimental economics.

The Art of Experimental Economics identifies and reviews twenty of the most important papers to have been published in experimental economics in order to highlight the power and methods of this area, and provides many examples of findings in behavioral economics that have extended knowledge in the economics discipline as a whole.

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.

Over the past two decades, experimental economics has moved from a fringe activity to become a standard tool for empirical research. With experimental economics now regarded as part of the basic tool-kit for applied economics, this book demonstrates how controlled experiments can be a useful in providing evidence relevant to economic research. Professors Jacquemet and L'Haridon take the standard model in applied econometrics as a basis to the methodology of controlled experiments. Methodological discussions are illustrated with standard experimental results. This book provides future experimental practitioners with the means to construct experiments that fit their research question, and new comers with an understanding of the strengths and weaknesses of controlled experiments. Graduate students and academic researchers working in the field of experimental economics will be able to learn how to undertake, understand and criticise empirical research based on lab experiments, and refer to specific experiments, results or designs completed with case study applications.

While the field of economics makes sharp distinctions and produces precise theory, the work of experimental economics sometimes appears blurred and may produce uncertain results. The contributors to this volume have provided brief notes describing specific experimental results.

Written by well-established researchers in behavioural economics, this Research Agenda illustrates the application of incentivised decision-making experiments, highlighting how this can add a new and novel dimension to social science research. Informative and timely, it explores how experiments are being used by pioneers in a diverse range of fields when research questions may not be amenable to field studies, vignettes or surveys.

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.

The Handbook of Experimental Economic Methodology, edited by Guillaume R. Fréchette and Andrew Schotter, aims to confront and debate the issues faced by the growing field of experimental economics. For example, as experimental work attempts to test theory, it raises questions about the proper relationship between theory and experiments. As experimental results are used to inform policy, the utility of these results outside the lab is questioned, and finally, as experimental economics tries to integrate ideas from other disciplines like psychology and neuroscience, the question of their proper place in the discipline of economics becomes less clear. This book contains papers written by some of the most accomplished scholars working at the intersection of experimental, behavioral, and theoretical economics talking about methodology. It is divided into four sections, each of which features a set of papers and a set of comments on those papers. The intention of the volume is to offer a place where ideas about methodology could be discussed and even argued. Some of the papers are contentious---a healthy sign of a dynamic discipline---while others lay out a vision for how the authors think experimental economics should be pursued. This exciting and illuminating collection of papers brings light to a topic at the core of experimental economics. Researchers from a broad range of fields will benefit from the exploration of these important questions.

Over the past two decades, experimental economics has moved from a fringe activity to become a standard tool for empirical research. With experimental economics now regarded as part of the basic tool-kit for applied economics, this book demonstrates how controlled experiments can be a useful in providing evidence relevant to economic research. Professors Jacquemet and L'Haridon take the standard model in applied econometrics as a basis to the methodology of controlled experiments. Methodological discussions are illustrated with standard experimental results. This book provides future experimental practitioners with the means to construct experiments that fit their research question, and new comers with an understanding of the strengths and weaknesses of controlled experiments. Graduate students and academic researchers working in the field of experimental economics will be able to learn how to undertake, understand and criticise empirical research based on lab experiments, and refer to specific experiments, results or designs completed with case study applications.

NATIONAL BESTSELLER • A leading economist answers one of today’s trickiest questions: Why do some great ideas make it big while others fail to take off? “Brilliant, practical, and grounded in the very latest research, this is by far the best book I’ve ever read on the how and why of scaling.”—Angela Duckworth, CEO of Character Lab and New York Times bestselling author of Grit ONE OF THE MOST ANTICIPATED BOOKS OF 2022—Men’s Journal “Scale” has become a favored buzzword in the startup world. But scale isn't just about accumulating more users or capturing more market share. It's about whether an idea that takes hold in a small group can do the same in a much larger one—whether you’re growing a small business, rolling out a diversity and inclusion program, or delivering billions of doses of a vaccine. Translating an idea into widespread impact, says University of Chicago economist John A. List, depends on one thing only: whether it can achieve “high voltage”—the ability to be replicated at scale. In The Voltage Effect, List explains that scalable ideas share a common set of attributes, while any number of attributes can doom an unscalable idea. Drawing on his original research, as well as fascinating examples from the realms of business, policymaking, education, and public health, he identifies five measurable vital signs that a scalable idea must possess, and offers proven strategies for avoiding voltage drops and engineering voltage gains. You’ll learn: • How celebrity chef Jamie Oliver expanded his restaurant empire by focusing on scalable “ingredients” (until it collapsed because talent doesn’t scale) • Why the failure to detect false positives early on caused the Reagan-era drug-prevention program to backfire at scale • How governments could deliver more services to more citizens if they focused on the last dollar spent • How one education center leveraged positive spillovers to narrow the achievement gap across the entire community • Why the right set of incentives, applied at scale, can boost voter turnout, increase clean energy use, encourage patients to consistently take their prescribed medication, and more. By understanding the science of scaling, we can drive change in our schools, workplaces, communities, and society at large. Because a better world can only be built at scale.