Loss Coverage: Why Insurance Works Better With Some Adverse Selection
Thomas, Guy
Loss Coverage: Why Insurance Works Better With Some Adverse Selection - Cambridge Cambridge University Press 2017 - 274p
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
9781107495906
Insurance - Social aspects
368 / THO
Loss Coverage: Why Insurance Works Better With Some Adverse Selection - Cambridge Cambridge University Press 2017 - 274p
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
9781107495906
Insurance - Social aspects
368 / THO