Risk Analysis in Theory and Practice (Academic Press Advanced Finance)
| Author | : | |
| Rating | : | 4.64 (882 Votes) |
| Asin | : | 0121706214 |
| Format Type | : | paperback |
| Number of Pages | : | 247 Pages |
| Publish Date | : | 2017-11-28 |
| Language | : | English |
DESCRIPTION:
"Five Stars" according to huli001Five Stars Great book. . Great book
Jean-Paul Chavas is the Anderson-Bascom Professor of Agricultural and Applied Economics at the University of Wisconsin Madison and a member of the board of directors of the NBER.
This masterful book provides a rigorous, accessible and wide ranging treatment of the key concepts and tools. It combines usefulness, thoroughness, and clarity."Christian Gollier, Professor of Economics, University of Toulouse"Professor Chavas is one of the leading scholars in and premier teachers of applied risk analysis. "Risk is at the very core of most decisions. It is a "must read" for anyone seriously interested in the economics of risk, uncertainty and information."Christopher B. Barrett, Professor, Department of Applied Economics and Management, Cornell University . This text beautifully explores the classical theory of choices under uncertainty including major applications and recent extensions
This allows us to measure risk in a fashion that can be communicated among decision makers or researchers. This helps better understand the role of information in human decision making and this book provides a systematic treatment of these issues in the context of both private and public decisions under uncertainty. In spite of these difficulties, much progress has been made. The objective of this book is to present this analytical framework and to illustrate how it can be used in the investigation of economic decisions under risk. How do we make decisions when we do not know some of events affecting us? The complexities of our uncertain world and of how humans obtain and process information make this difficult. In a sense, the economics of risk is a difficult subject: it involves understanding human decision