Book contents
- Loss Coverage
- Loss Coverage
- Copyright page
- Dedication
- Contents
- Acknowledgements
- Part I Introduction
- Part II Loss Coverage
- 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
- Book part
- References
- Index
7 - A Taxonomy of Objections to Risk Classification
from Part III - Further Aspects of Risk Classification
Published online by Cambridge University Press: 04 May 2017
- Loss Coverage
- Loss Coverage
- Copyright page
- Dedication
- Contents
- Acknowledgements
- Part I Introduction
- Part II Loss Coverage
- 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
- Book part
- References
- Index
Summary
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- Chapter
- Information
- Loss CoverageWhy Insurance Works Better with Some Adverse Selection, pp. 107 - 117Publisher: Cambridge University PressPrint publication year: 2017