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The PD-Utility Function for Prospect Behavior

Books: Related on PD-Utility

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The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important social, medical, and political situations as well. Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical diagnosis, risk perception, and methods for correcting and improving judgments under uncertainty.

About half of the chapters are edited versions of classic articles; the remaining chapters are newly written for this book. Most review multiple studies or entire subareas of research and application rather than describing single experimental studies. This book will be useful to a wide range of students and researchers, as well as to decision makers seeking to gain insight into their judgments and to improve them.


Review

"Daniel Kahneman and the late Amos Tversky have started a new perspective on the traditional economic categories of choice, decision, and value. A series of experimental and empirical studies by them and others have rejected traditional economic assumptions of rationality. Even more importantly, these scholars have developed alternative generalizations with significant predictive power and have found empirical verification for them. This outstanding collection of studies will make these new results widely accessible." Kenneth J. Arrow, Joan Kenney Professor of Economics, Emeritus and Professor of Operations Research, Emeritus, Stanford University

Product Description:

Choices, Values, and Frames presents an empirical and theoretical challenge to classical utility theory, offering prospect theory as an alternative framework. Extensions and applications to diverse economic phenomena and to studies of consumer behavior are discussed. The book also elaborates on framing effects and other demonstrations that preferences are constructed in context, and it develops new approaches to the standard view of choice-based utility. As with the classic 1982 volume, Judgment Under Uncertainty, this volume is comprised of papers published in diverse academic journals. The editors have written several new chapters and a preface to provide a context for the work.


Product Description:

The notion of bounded rationality was initiated in the 1950s by Herbert Simon; only recently has it influenced mainstream economics. In this book, Ariel Rubinstein defines models of bounded rationality as those in which elements of the process of choice are explicitly embedded. The book focuses on the challenges of modeling bounded rationality, rather than on substantial economic implications.

In the first part of the book, the author considers the modeling of choice. After discussing some psychological findings, he proceeds to the modeling of procedural rationality, knowledge, memory, the choice of what to know, and group decisions.

In the second part, he discusses the fundamental difficulties of modeling bounded rationality in games. He begins with the modeling of a game with procedural rational players and then surveys repeated games with complexity considerations. He ends with a discussion of computability constraints in games. The final chapter includes a critique by Herbert Simon of the author's methodology and the author's response. Zeuthen Lecture Book series, sponsored by the Institute of Economics at the University of Copenhagen.


Product Description:

A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity. Inflation, asset prices, exchange rates, investment, and consumption are just some of the economic variables that are largely explained by expectations. Here George Evans and Seppo Honkapohja bring new explanatory power to a variety of expectation formation models by focusing on the learning factor. Whereas the rational expectations paradigm offers the prevailing method to determining expectations, it assumes very theoretical knowledge on the part of economic actors. Evans and Honkapohja contribute to a growing body of research positing that households and firms learn by making forecasts using observed data, updating their forecast rules over time in response to errors. This book is the first systematic development of the new statistical learning approach.

Depending on the particular economic structure, the economy may converge to a standard rational-expectations or a "rational bubble" solution, or exhibit persistent learning dynamics. The learning approach also provides tools to assess the importance of new models with expectational indeterminacy, in which expectations are an independent cause of macroeconomic fluctuations. Moreover, learning dynamics provide a theory for the evolution of expectations and selection between alternative equilibria, with implications for business cycles, asset price volatility, and policy. This book provides an authoritative treatment of this emerging field, developing the analytical techniques in detail and using them to synthesize and extend existing research.

Summary: Index