This book is the second edition of Behavioral Decision Theory, published in 2014. The main approach and structure of this book have been retained in the new edition. However, this second edition provides a fresh overview of the idea of behavioral decision theory and related research findings such as theoretical and empirical discoveries of preference formation, time discounting, social interaction, and social decision making. The book covers a wide range from classical to relatively recent major studies concerning behavioral decision theory, which, in brief, is a general term for descriptive theories to explain the psychological knowledge related to people’s decision-making behavior. It is called a theory but is actually a combination of various psychological theories, for which no axiomatic systems—such as those associated with the utility theory widely used in economics—have been established. The utility theory is often limited to qualitative knowledge; however, as the studies of Nobel laureates H. A. Simon, D. Kahneman, and R. Thaler have suggested, the psychological methodology and knowledge of behavioral decision theory have been applied widely in such fields as economics, business administration, and engineering and are expected to become even more useful in the future. Research into people’s decision making represents an important part in those fields, various aspects of which overlap with the scope of behavioral decision theory. This theory is closely related to behavioral economics and behavioral finance, which have come into greater use in recent years. This book will appeal especially to graduate students, advanced undergraduate students, and researchers who are interested in decision-making phenomena.

The book describes the errors that people commonly make in dealing with probabilities. They include both the errors that are now well recognised like overconfidence, and the errors that investigators may themselves introduce without realising it.

This book describes the biases most relevant to investing, include background on how biases develop, and offer practical strategies to help you to improve your performance. The authors offer a guide to categorizing biases based on cutting-edge brain science, which will enable readers to implement best practices that guard against whole sets of biases. Emphasis is placed on the practical implications of financial decision-making and provides a scientific basis for adjusting investing practices, to avoid common cognitive traps.

This Handbook is a unique and original contribution of over thirty chapters on behavioural economics, examining and addressing an important stream of research where the starting assumption is that decision-makers are for the most part relatively smart or rational. This particular approach is in contrast to a theme running through much contemporary work where individuals’ behaviour is deemed irrational, biased, and error-prone, often due to how people are hardwired. In the smart people approach, where errors or biases occur and when social dilemmas arise, more often than not, improving the decision-making environment can repair these problems without hijacking or manipulating the preferences of decision-makers. This book covers a wide-range of themes from micro to macro, including various sub-disciplines within economics such as economic psychology, heuristics, fast and slow-thinking, neuroeconomics, experiments, the capabilities approach, institutional economics, methodology, nudging, ethics, and public policy.

This proceedings volume presents the latest scientific research and trends in experimental economics, with particular focus on neuroeconomics. Derived from the 2016 Computational Methods in Experimental Economics (CMEE) conference held in Szczecin, Poland, this book features research and analysis of novel computational methods in neuroeconomics. Neuroeconomics is an interdisciplinary field that combines neuroscience, psychology and economics to build a comprehensive theory of decision making. At its core, neuroeconomics analyzes the decision-making process not only in terms of external conditions or psychological aspects, but also from the neuronal point of view by examining the cerebral conditions of decision making. The application of IT enhances the possibilities of conducting such analyses. Such studies are now performed by software that provides interaction among all the participants and possibilities to register their reactions more accurately. This book examines some of these applications and methods. Featuring contributions on both theory and application, this book is of interest to researchers, students, academics and professionals interested in experimental economics, neuroeconomics and behavioral economics.

Each year, many students with affordable college options and the academic skills needed to succeed do not enroll at all, enroll at institutions where they are not well-positioned for success, or drop out of college before earning a credential. Efforts to address these challenges have included changes in financial aid policy, increased availability of information, and enhanced academic support. This volume argues that the efficacy of these strategies can be improved by taking account of contemporary research on how students make choices. In Decision Making for Student Success, scholars from the fields of behavioral economics, education, and public policy explore contemporary research on decision-making and highlight behavioral insights that can improve postsecondary access and success. This exciting volume will provide scholars, researchers, and higher education administrators with valuable perspectives and low-cost strategies that they can employ to improve outcomes for underserved populations.