Applied Economic Analysis of Information and Risk

Applied Economic Analysis of Information and Risk
Author :
Publisher : Springer Nature
Total Pages : 201
Release :
ISBN-10 : 9789811533006
ISBN-13 : 9811533008
Rating : 4/5 (06 Downloads)

Book Synopsis Applied Economic Analysis of Information and Risk by : Moriki Hosoe

Download or read book Applied Economic Analysis of Information and Risk written by Moriki Hosoe and published by Springer Nature. This book was released on 2020-03-25 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines interesting new topics in applied economics from the perspectives of the economics of information and risk, two fields of economics that address the consequences of asymmetric information, environmental risk and uncertainty for the nature and efficiency of interactions between individuals and organizations. In the economics of information, the essential task is to examine the condition of asymmetric information under which the information gap is exploited. For the economics of risk, it is important to investigate types of behavior including risk aversion, risk sharing, and risk prevention, and to reexamine the classical expected utility approach and the relationships among several types of the changes in risk. Few books have ever analyzed topics in applied economics with regard to information and risk. This book provides a comprehensive collection of applied analyses, while also revisiting certain basic concepts in the economics of information and risk. The book consists of two parts. In Part I, several aspects of applied economics are investigated, including public policy, labor economics, and political economics, from the standpoint of the economics of (asymmetric) information. First, several basic frameworks of the incentive mechanism with regard to transaction-specific investment are assessed, then various tools for market design and organization design are explored. In Part II, mathematical measures of risk and risk aversion are examined in more detail, and readers are introduced to stochastic selection rules governing choice behavior under uncertainty. Several types of change in the random variable for the cumulative distribution function (CDF) and probability distribution function (PDF) are discussed. In closing, the part investigates the comparative static results of these changes in CDF or PDF on the general decision model, incorporating uncertain situations in applied economics.


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