This second edition examines how one makes a decision and the factors that influence that decision.

Formal economic analysis using Shackle's ideas of historical time and nonprobabilistic uncertainty

A collection of papers dicussing unknowledge and choice in economics. The topics focus especially on G.L.S.Shackle's theories and his place in subjectivist thought but also include time, choice and dynamics in economics and interest rates and investment decisions.

The preoccupation of financial theory with static, timeless, equilibrium analysis has given rise to an orthodoxy that avoids the problems of uncertainty in the world. This work establishes new perspectives from which contemporary financial theory can be evaluated. Echoing Keynes' observation that "Human decisions . . . cannot depend on strict mathematical expectation," Douglas Vickers explains why most decisions in economics and finance are not made under conditions to which the calculus of probability applies. The author proposes a "new realism" in financial theory that takes into account the uncertainty in personal and economic decisions. Both business firms and financial investors, he contends, acquire an important perspective on their alternatives by focusing on the transitional, disequilibrium processes in financial markets rather than on their sup­ posed equilibrium conditions. This involves for economic decisions an understanding of "time" as "historic" in a genuine operational sense rather than as merely a logical variable. The notion of probability should be replaced by that of possibility, the concept that the British economist G. L. S. Shackle has called "potential surprise." In Part I, Vickers' innovative approach leads to a careful study of the "false trading" that occurs in real and financial markets. Part II provides an exposition and an evaluation of the equilibrium theory of financial asset prices. The new analytical apparatus is applied in Part Ill to investment decision making in the firm and to the choice of financial asset portfolios, as well as to the questions of asset trading and changes in portfolio composition. A scholarly and constructive work, Financial Markets in the Capitalist Process will generate controversy among professionals and debate among students for many years to come.

Experience during the last ten years has encouraged economists to review their judgements regarding behavior and policy. The experience of the 1970s brought inflation to prominence in the minds of policymakers and academic economists, raising questions about labor markets and other supply considerations, but also resulting in an atmosphere conducive to increasing attention on monetary and financial variables. An account of some of the issues that, in this environment, occupied the thoughts of economists and conditioned the responses of policymakers in various Western countries is what this volume is about.

This book provides an overview of the main methods and results in the formal study of the human decision-making process, as defined in a relatively wide sense. A key aim of the approach contained here is to try to break down barriers between various disciplines encompassed by this field, including psychology, economics and computer science. All these approaches have contributed to progress in this very important and much-studied topic in the past, but none have proved sufficient so far to define a complete understanding of the highly complex processes and outcomes. This book provides the reader with state-of-the-art coverage of the field, essentially forming a roadmap to the field of decision analysis. The first part of the book is devoted to basic concepts and techniques for representing and solving decision problems, ranging from operational research to artificial intelligence. Later chapters provide an extensive overview of the decision-making process under conditions of risk and uncertainty. Finally, there are chapters covering various approaches to multi-criteria decision-making. Each chapter is written by experts in the topic concerned, and contains an extensive bibliography for further reading and reference.

There is no doubt that behavioral economics is becoming a dominant lens through which we think about economics. Behavioral economics is not a single school of thought but representative of a range of approaches, and uniquely, this volume presents an overview of them. The wide spectrum of international contributors each provides an exploration of a central approach, aspect or topic in behavorial economics. Taken together, the whole volume provides a comprehensive overview of the subject which considers both key developments and future possibilities. Part One presents several different approaches to behavioural economics, including George Katona, Ken Boulding, Harvey Leibenstein, Vernon Smith, Herbert Simon, Gerd Gigerenzer, Daniel Kahneman, and Richard Thaler. This section looks at the origins and development of behavioral economics and compares and contrasts the work of these scholars who have been so influential in making this area so prominent. Part Two presents applications of behavioural economics including nudging; heuristics; emotions and morality; behavioural political economy, education, and economic innovation. The Routledge Handbook of Behavioral Economics is ideal for advanced economics students and faculty who are looking for a complete state-of-the-art overview of this dynamic field.

Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research. Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities. Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs. Using examples from many disciplines, including statistics, psychology, engineering and health sciences. Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.