File Name: the economics of uncertainty and information laffont .zip
Uncertainty refers to epistemic situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements that are already made, or to the unknown. Although the terms are used in various ways among the general public, many specialists in decision theory , statistics and other quantitative fields have defined uncertainty, risk, and their measurement as:. Uncertainty must be taken in a sense radically distinct from the familiar notion of risk, from which it has never been properly separated The essential fact is that 'risk' means in some cases a quantity susceptible of measurement, while at other times it is something distinctly not of this character; and there are far-reaching and crucial differences in the bearings of the phenomena depending on which of the two is really present and operating It will appear that a measurable uncertainty, or 'risk' proper, as we shall use the term, is so far different from an unmeasurable one that it is not in effect an uncertainty at all.
Covid — information for students and staff. This course introduces the economic theory of uncertainty and asymmetric information. It discusses how incentives and optimal choices are affected by uncertainty, and the implications for the design of contracts. The focus is on various types of informational asymmetries and measures that can be undertaken to deal with these. Topics covered are the principal agent theory, moral hazard, adverse selection, signaling, screening and strategic interaction under uncertainty. Some of the practical applications examined are the analysis of measures to reduce exposure to risk, the supply and demand for insurance, the optimal risk distribution, market equilibrium under uncertainty and contract design. Course material will be available through the learning platform Athena during the course.
The Precautionary Principle has provided the foundations for building a new risk regulatory pattern under scientific uncertainty. This paper investigates how classical economic theory may, or may not, justify the Precautionary Principle. It examines the link between irreversibility, the prospect of increasing information over time and risk management. In doing so, it brings closer the notion of option value to that of precaution. Using a general modelling framework, it identifies the conditions so that the Precautionary Principle is an efficient economic guideline. It also explains why precautionary policies are not likely to emerge in a competitive economy or in the presence of a global pollution problem. This is a preview of subscription content, access via your institution.
Economics has much to do with incentives--not least, incentives to work hard, to produce quality products, to study, to invest, and to save. Although Adam Smith amply confirmed this more than two hundred years ago in his analysis of sharecropping contracts, only in recent decades has a theory begun to emerge to place the topic at the heart of economic thinking. In this book, Jean-Jacques Laffont and David Martimort present the most thorough yet accessible introduction to incentives theory to date. Central to this theory is a simple question as pivotal to modern-day management as it is to economics research: What makes people act in a particular way in an economic or business situation? In seeking an answer, the authors provide the methodological tools to design institutions that can ensure good incentives for economic agents. This book focuses on the principal-agent model, the "simple" situation where a principal, or company, delegates a task to a single agent through a contract--the essence of management and contract theory. How does the owner or manager of a firm align the objectives of its various members to maximize profits?
Insurance markets are a typical example of institutions that have arisen to help economic agents deal with uncertainty. Chiappori The economics of uncertainty and The models suggest that markets can collect and aggregate information that is dispersed in small bits across many individuals. The Economics of Uncertainty and Information Hardback Book Review This type of ebook is almost everything and taught me to seeking ahead of time plus more. The goal is to gain a deeper understanding of how uncertainty and information a ect decisions and economic outcomes. Part 1 covers the economics of uncertainty: each person adapts to a given fixed state of knowledge by making an optimal choice among the immediate "terminal" actions available. Rating: not yet rated 0 with reviews - Be the first. Uncertainty refers to epistemic situations involving imperfect or unknown information.
Information economics or the economics of information is a branch of microeconomic theory that studies how information and information systems affect an economy and economic decisions. Information has special characteristics: It is easy to create but hard to trust. It is easy to spread but hard to control. It influences many decisions. These special characteristics as compared with other types of goods complicate many standard economic theories.
The Economics of Uncertainty and Information may be used in conjunction with Loffont's Fundamentals of Economics in an advanced course in microeconomics. Both texts provide a thorough account of modern thinking on the subject and a wealth of carefully chosen examples and problems. The first four chapters of The Economics of Uncertainty and Information summarize the essential tools of the analysis of uncertainty and information: the theory of individual behavior under uncertainty, the measures of risk aversion and the measures of risk, and the notions of certainty equivalence and information structure.
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By JEAN-JACCHJES LAFFONT. (Cambridge, Mass., and London: The MIT Press, Pp. viii + £ hardback. ISBN.Reply
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The economics of uncertainty is about economic situations in which there is un- certainty but all involved parties have the same information. • The economics of.Reply
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