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Economic analysis of choice under uncertainty has been dominated by the expected utility (EU) model, yet the EU model has never been without critics. Psychologists accumulated evidence that individual choices under uncertainty were inconsistent with the predictions of the EU model. Applied work in areas such as finance was dominated by the simpler mean-variance analysis. In the 1980s this skepticism was dispelled as a number of generalizations of EU were proposed, most of which were capable of explaining evidence inconsistent with EU, while preserving transitivity and dominance. Generalized expected utility is now a flourishing subfield of economics, with dozens of competing models and considerable literature exploring their theoretical properties and comparing their empirical performance. But the EU model remains the principal tool for the analysis of choice under uncertainty. There is a view that generalized models are too difficult to handle or incapable of generating sharp results. This creates a need to show that the new models can be used in the kinds of economic analysis for which EU has been used, and that they can yield new and interesting results. This book meets this need by describing one of the most popular generalized models -- the rank-dependent expected utility model (RDEU), also known as anticipated utility, EU with rank-dependent preferences, the dual theory of choice under uncertainty, and simply as rank-dependent utility. As the many names indicate, the model has been approached in many ways by many scientists and for this reason, consideration of a single model sheds light on many of the concerns that have motivated the development of generalized utility models. The popularity of the RDEU model rests on its simplicity and tractability. The standard tools of analysis developed for EU theory may be applied to the RDEU model, but since RDEU admits behavior inconsistent with EU, the field of potential applications is widened. As such, the RDEU model is not as much a competitor to EU as an extension based on less restrictive assumptions.
This book demonstrates that the state-contingent approach provides the best way to think about all problems in the economics of uncertainty, including problems of consumer choice, the theory of the firm, and principal agent relationships. The authors demonstrate that dual methods apply under uncertainty and that the dual representations can be developed for stochastic technologies. Moreover, proper exploitation of the properties of alternative primal and dual representations of preferences allows analysts to generalize and extend the results of the existing literature on preferences under uncertainty, thus making expected-utility theory largely superfluous for many decisions.
Economic analysis of choice under uncertainty has been dominated by the expected utility (EU) model, yet the EU model has never been without critics. Psychologists accumulated evidence that individual choices under uncertainty were inconsistent with the predictions of the EU model. Applied work in areas such as finance was dominated by the simpler mean-variance analysis. In the 1980s this skepticism was dispelled as a number of generalizations of EU were proposed, most of which were capable of explaining evidence inconsistent with EU, while preserving transitivity and dominance. Generalized expected utility is now a flourishing subfield of economics, with dozens of competing models and considerable literature exploring their theoretical properties and comparing their empirical performance. But the EU model remains the principal tool for the analysis of choice under uncertainty. There is a view that generalized models are too difficult to handle or incapable of generating sharp results. This creates a need to show that the new models can be used in the kinds of economic analysis for which EU has been used, and that they can yield new and interesting results. This book meets this need by describing one of the most popular generalized models -- the rank-dependent expected utility model (RDEU), also known as anticipated utility, EU with rank-dependent preferences, the dual theory of choice under uncertainty, and simply as rank-dependent utility. As the many names indicate, the model has been approached in many ways by many scientists and for this reason, consideration of a single model sheds light on many of the concerns that have motivated the development of generalized utility models. The popularity of the RDEU model rests on its simplicity and tractability. The standard tools of analysis developed for EU theory may be applied to the RDEU model, but since RDEU admits behavior inconsistent with EU, the field of potential applications is widened. As such, the RDEU model is not as much a competitor to EU as an extension based on less restrictive assumptions.
A masterly introduction to the key ideas behind the successes-and failures-of free-market economics Since 1946, Henry Hazlitt's bestselling Economics in One Lesson has popularized the belief that economics can be boiled down to one simple lesson: market prices represent the true cost of everything. But one-lesson economics tells only half the story. It can explain why markets often work so well, but it can't explain why they often fail so badly-or what we should do when they stumble. As Nobel Prize-winning economist Paul Samuelson quipped, "When someone preaches 'Economics in one lesson,' I advise: Go back for the second lesson." In Economics in Two Lessons, John Quiggin teaches both lessons, offering a masterly introduction to the key ideas behind the successes-and failures-of free markets. Brilliantly accessible, this book unlocks the essential issues at the heart of any economic question.
In the graveyard of economic ideology, dead ideas still stalk the land. The recent financial crisis laid bare many of the assumptions behind market liberalism--the theory that market-based solutions are always best, regardless of the problem. For decades, their advocates dominated mainstream economics, and their influence created a system where an unthinking faith in markets led many to view speculative investments as fundamentally safe. The crisis seemed to have killed off these ideas, but they still live on in the minds of many--members of the public, commentators, politicians, economists, and even those charged with cleaning up the mess. In "Zombie Economics," John Quiggin explains how these dead ideas still walk among us--and why we must find a way to kill them once and for all if we are to avoid an even bigger financial crisis in the future. "Zombie Economics" takes the reader through the origins, consequences, and implosion of a system of ideas whose time has come and gone. These beliefs--that deregulation had conquered the financial cycle, that markets were always the best judge of value, that policies designed to benefit the rich made everyone better off--brought us to the brink of disaster once before, and their persistent hold on many threatens to do so again. Because these ideas will never die unless there is an alternative, "Zombie Economics" also looks ahead at what could replace market liberalism, arguing that a simple return to traditional Keynesian economics and the politics of the welfare state will not be enough--either to kill dead ideas, or prevent future crises. In a new chapter, Quiggin brings the book up to date with a discussion of the re-emergence of pre-Keynesian ideas about austerity and balanced budgets as a response to recession.
This book demonstrates that the state-contingent approach provides the best way to think about all problems in the economics of uncertainty, including problems of consumer choice, the theory of the firm, and principal agent relationships. The authors demonstrate that dual methods apply under uncertainty and that the dual representations can be developed for stochastic technologies. Moreover, proper exploitation of the properties of alternative primal and dual representations of preferences allows analysts to generalize and extend the results of the existing literature on preferences under uncertainty, thus making expected-utility theory largely superfluous for many decisions.
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