Behavioural And Experimental Economics

- Incorporates the latest experimental evidence from across economics, psychology and neuroscience to provide cutting-edge introduction for students. - Structured around three key settings – individuals, small groups and larger impersonal groups (e.g. markets) – this text provides a logical framework for the study of economic decision-making. - Includes discussion of emotions including fairness, trust, selfishness and altruism on both a micro and macro level to show how they can influence personal decision making as well as entire economies.

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.

Applying experimental methods has become one of the most powerful and versatile ways to obtain economic insights, and experimental economics has especially supported the development of behavioral economics. The Art of Experimental Economics identifies and reviews 20 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. Chosen through a combination of citations, recommendations by scholars in the field, and voting by members of leading societies, the 20 papers under review – some by Nobel prize-winning economists – run the full gamut of experimental economics from theoretical expositions to applications demonstrating experimental economics in action. Also written by a leading experimental economist, each chapter provides a brief summary of the paper, makes the case for why that paper is one of the top 20 in the field, discusses the use made of the experimental method, and considers related work to provide context for each paper. These reviews quickly expose readers to the breadth of application possibilities and the methodological issues, leaving them with a firm understanding of the legacy of the papers’ contributions. This text provides a survey of some of the very best research in experimental and behavioral economics and is a valuable resource for scholars and economics instructors, students seeking to develop capability in applying experimental methods, and economics researchers who wish to further explore the experimental approach.

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 provides an easy to follow guide to economic experiments and specifically those that explore notions of fairness, altruism and trust in economic transactions and how findings in the field can change the way we approach a variety of economic problems.

The Beginnings of Behavioral Economics: Katona, Simon, and Leibenstein's X-Efficiency Theory explores the mid-20th century roots of behavioral economics, placing the origin of this now-dominant approach to economic theory many years before the groundbreaking 1979 work on prospect theory by Daniel Kahneman and Amos Tversky. It discusses the work of Harvey Leibenstein, Herbert Simon, George Katona, and Frederick Hayek, reintroducing their contributions as founding pillars of the behavioral approach. It concentrates on the work of Leibenstein, reviewing his nuanced introduction of X-efficiency theory. Building from these foundations, the work explores the body of empirical research on market power and firm behavior – XE relationship. This book is a tremendous resource for graduate students and early career researchers in behavioral economics, experimental economics, organizational economics, social and organizational psychology, labor market economics and public policy. Reviews the powerful, but neglected contributions of mid-20th century scholars, like Leibenstein and Katona in building the roots of behavioral economic theory Amalgamates and reviews 50 years of empirical research and over 200 empirical papers on X-efficiency theory Establishes how X-efficiency can aid modern behavioral economics in further developing firm theory and understanding efficiency wages

Twenty years ago, behavioral economics did not exist as a field. Most economists were deeply skeptical--even antagonistic--toward the idea of importing insights from psychology into their field. Today, behavioral economics has become virtually mainstream. It is well represented in prominent journals and top economics departments, and behavioral economists, including several contributors to this volume, have garnered some of the most prestigious awards in the profession. This book assembles the most important papers on behavioral economics published since around 1990. Among the 25 articles are many that update and extend earlier foundational contributions, as well as cutting-edge papers that break new theoretical and empirical ground. Advances in Behavioral Economics will serve as the definitive one-volume resource for those who want to familiarize themselves with the new field or keep up-to-date with the latest developments. It will not only be a core text for students, but will be consulted widely by professional economists, as well as psychologists and social scientists with an interest in how behavioral insights are being applied in economics. The articles, which follow Colin Camerer and George Loewenstein's introduction, are by the editors, George A. Akerlof, Linda Babcock, Shlomo Benartzi, Vincent P. Crawford, Peter Diamond, Ernst Fehr, Robert H. Frank, Shane Frederick, Simon Gächter, David Genesove, Itzhak Gilboa, Uri Gneezy, Robert M. Hutchens, Daniel Kahneman, Jack L. Knetsch, David Laibson, Christopher Mayer, Terrance Odean, Ted O'Donoghue, Aldo Rustichini, David Schmeidler, Klaus M. Schmidt, Eldar Shafir, Hersh M. Shefrin, Chris Starmer, Richard H. Thaler, Amos Tversky, and Janet L. Yellen.

Behavioral Science in the Wild helps managers understand how best to incorporate key research findings to solve their own behavior change challenges in the real world – from lab to field. Behavioral Science in the Wild helps managers to implement research findings on behavioral change in their own workplace operations and to apply them to business or policy problems. As the second book in the Behaviourally Informed Organizations series, Behavioral Science in the Wild takes a step back to address the "why" and "how" behind the origins of behavioral insights, and how best to translate and scale behavioral science from lab-based research findings. Governments, for-profit enterprises, and welfare organizations have increasingly started relying on findings from the behavioral sciences to develop more accessible and user-friendly products, processes, and experiences for their end-users. While there is a burgeoning science that helps us to understand why people act and make the decisions that they do, and how their actions can be influenced, we still lack a precise science and strategic insights into how some key theoretical findings can be successfully translated, scaled, and applied in the field. Nina Mažar and Dilip Soman are joined by leading figures from both the academic and applied behavioral sciences to develop a nuanced framework for how managers can best translate results from pilot studies into their own organizations and behavior change challenges using behavioral science.