TY  - BOOK
AU  - Thomas, Guy
TI  - Loss Coverage: Why Insurance Works Better With Some Adverse Selection
SN  - 9781107495906
U1  - 368 
PY  - 2017///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Insurance - Social aspects
N1  - 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
ER  -