Loss Coverage: Why Insurance Works Better With Some Adverse Selection

By:

Thomas, Guy

Material type: Text

TextPublication details: Cambridge University Press 2017 CambridgeDescription: 274pISBN:

9781107495906

Subject(s):

Insurance - Social aspects

DDC classification:

368 THO

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	368 THO (Browse shelf(Opens below))	Available		M0034409

Total holds: 0

Part I. Introduction:
1. The central ideas of this book
2. Adverse selection: a history of exaggeration
Part II. Loss Coverage:
3. Introduction to loss coverage;
4. Basic mathematics of loss coverage
5. Further mathematics of loss coverage
6. Partial risk classification, separation and inclusivity

Part III. Further Aspects of Risk Classification:
7. A taxonomy of objections to risk classification
8. Empirical evidence on adverse selection
9. Myths of insurance rhetoric
10. Myths of insurance economics
11. Contexts where adverse selection may be stronger
12. Risk classification and moral hazard
13. Risk classification and big data

Part IV. Conclusion:
14. Summary and suggestions

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