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Applied Economic Analysis of Information and Risk 2020 Edition
Contributor(s): Hosoe, Moriki (Editor), Kim, Iltae (Editor)
ISBN: 9811532990     ISBN-13: 9789811532993
Publisher: Springer
OUR PRICE:   $123.49  
Product Type: Hardcover - Other Formats
Published: March 2020
Qty:
Additional Information
BISAC Categories:
- Business & Economics | Public Finance
- Business & Economics | Urban & Regional
- Political Science | Political Economy
Physical Information: 0.5" H x 6.14" W x 9.21" (1.05 lbs) 202 pages
 
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Publisher Description:

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.