Author : Itzhak Gilboa
Publisher : Taylor & Francis
Page : 577 pages
File Size : 50,64 MB
Release : 2004-08-02
Category : Business & Economics
ISBN : 1134344163
This volume brings together important papers, coupled with new introductions, in the massively influential area of uncertainty in economic theory. Seminal papers are available together for the first time in book format, with new introductions and under the steely editorship of Itzhak Gilboa - this book is a useful reference tool for economists all over the globe.
Author : Peter A. Diamond
Publisher :
Page : 584 pages
File Size : 31,47 MB
Release : 1978
Category : Business & Economics
ISBN :
The First Edition, published in 1978, brought together classic and modern thinking in the economics of uncertainty and provided the first text in the area. This Second Edition includes three new articles, added material on search theory, an additional preface, and updated references. Articles, introduced with brief commentaries, are divided into three broad sections: theory of choice under uncertainty, general equilibrium models of financial institutions, and models of the effects of uncertainty on market institutions.
Author : Itzhak Gilboa
Publisher : Routledge
Page : 584 pages
File Size : 17,15 MB
Release : 2004-08-02
Category : Business & Economics
ISBN : 1134344155
This volume brings together important papers, coupled with new introductions, in the massively influential area of uncertainty in economic theory. Seminal papers are available together for the first time in book format, with new introductions and under the steely editorship of Itzhak Gilboa - this book is a useful reference tool for economists all over the globe.
Author : Frank H. Knight
Publisher : Cosimo, Inc.
Page : 401 pages
File Size : 38,70 MB
Release : 2006-11-01
Category : Business & Economics
ISBN : 1602060053
A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
Author : Lars Peter Hansen
Publisher : World Scientific Publishing Company Incorporated
Page : 454 pages
File Size : 11,34 MB
Release : 2014
Category : Business & Economics
ISBN : 9789814578110
"Studying this work in real time taught me a lot, but seeing it laid out in conceptual, rather than chronological, order provides even clearer insights into the evolution of this provocative line of research. Hansen and Sargent are two of the best economists of our time, they are also among the most dedicated teachers in our profession. They have once again moved the research frontier, and with this book provide a roadmap for the rest of us to follow. This is a must-have for anyone interested in modeling uncertainty, ambiguity and robustness."Stanley E ZinWilliam R Berkley Professor of Economics and BusinessLeonard N Stern School of BusinessNew York UniversityWritten by Lars Peter Hansen (Nobel Laureate in Economics, 2013) and Thomas Sargent (Nobel Laureate in Economics, 2011), Uncertainty within Economic Models includes articles adapting and applying robust control theory to problems in economics and finance. This book extends rational expectations models by including agents who doubt their models and adopt precautionary decisions designed to protect themselves from adverse consequences of model misspecification. This behavior has consequences for what are ordinarily interpreted as market prices of risk, but big parts of which should actually be interpreted as market prices of model uncertainty. The chapters discuss ways of calibrating agents' fears of model misspecification in quantitative contexts.
Author : Mark Machina
Publisher : Newnes
Page : 897 pages
File Size : 43,49 MB
Release : 2013-11-14
Category : Business & Economics
ISBN : 0444536868
The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance Divides coverage between theoretical, empirical, and experimental findings Makes the economics of risk and uncertainty accessible to scholars in fields outside economics
Author : Peter Diamond
Publisher : Academic Press
Page : 569 pages
File Size : 26,86 MB
Release : 2014-05-10
Category : Business & Economics
ISBN : 1483264505
Uncertainty in Economics: Readings and Exercises provides information pertinent to the fundamental aspects of the economics of uncertainty. This book discusses ho uncertainty affects both individual behavior and standard equilibrium theory. Organized into three parts encompassing 30 chapters, this book begins with an overview of the relevance of expected utility maximization for positive and normative theories of individual choice. This text then examines the biases in judgments, which reveal some heuristics of thinking under uncertainty. Other chapters consider the effect of restricting trade in contingent commodities to those trades that can be affected through the stock and bond markets. This book discusses as well the individual problem of sequential choice and equilibria, which are built around the notion of sequential choice. The final chapter deals with an entirely different aspect of the economics of information and reverts to the assumption that markets are perfect and costless. This book is a valuable resource for economists and students.
Author : Christian Müller-Kademann
Publisher : Routledge
Page : 213 pages
File Size : 39,65 MB
Release : 2019-01-08
Category : Business & Economics
ISBN : 0429664494
This book is set against the assumption that humans' unique feature is their infinite creativity, their ability to reflect on their deeds and to control their actions. These skills give rise to genuine uncertainty in society and hence in the economy. Here, the author sets out that uncertainty must take centre stage in all analyses of human decision making and therefore in economics. Uncertainty and Economics carefully defines a taxonomy of uncertainty and argues that it is only uncertainty in its most radical form which matters to economics. It shows that uncertainty is a powerful concept that not only helps to resolve long-standing economic puzzles but also unveils serious contradictions within current, popular economic approaches. It argues that neoclassical, real business cycle, or new-Keynesian economics must be understood as only one way to circumvent the analytical challenges posed by uncertainty. Instead, embracing uncertainty offers a new analytical paradigm which, in this book, is applied to standard economic topics such as institutions, money, the Lucas critique, fiscal policy and asset pricing. Through applying a concise uncertainty paradigm, the book sheds new light on human decision making at large. Offering policy conclusions and recommendations for further theoretical and applied research, it will be of great interest to postgraduate students, academics and policy makers.
Author : Hans-Werner Sinn
Publisher : Springer Science & Business Media
Page : 378 pages
File Size : 19,47 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 3642615473
The Fundamental Issues Involved Why do we need a theory of uncertainty? It is a fact that almost all man's economic decisions are made under conditions of uncertainty, but this fact alone does not provide a strong enough argument for making the effort necessary to generalize ordinary preference theory designed for a world of perfect certainty. In accordance with Occam's Razor, the mathematician may well welcome a generalization of assumptions even if it does not promise more than a restatement of known results. The economist, however, will only be well disposed towards making the effort if he can expect to achieve new insights and interesting results, for he is interested in the techniques necessary for the generalization only as means to an end, not as ends in themselves. A stronger reason for developing a theory of uncertainty, therefore, seems to be the fact that there are kinds of economic activities to which the non-stochastic preference theory has no access or has access only through highly artificial constructions. Such activities include portfolio decisions of wealth holders, speculation, and insurance. These will be considered in detail in the last chapter of the book. The main purpose of this book, however, is not to apply a theory of uncertainty to concrete economic problems, the purpose rather is to formulate such a theory.
Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 216 pages
File Size : 17,90 MB
Release : 2009-03-16
Category : Business & Economics
ISBN : 052151732X
This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.
