Insurance loss coverage and demand elasticities

被引:7
|
作者
Hao, MingJie [1 ]
Macdonald, Angus S. [2 ,3 ]
Tapadar, Pradip [1 ]
Thomas, R. Guy [1 ]
机构
[1] Univ Kent, Sch Math Stat & Actuarial Sci, Canterbury CT2 7FS, Kent, England
[2] Heriot Watt Univ, Dept Actuarial Math & Stat, Edinburgh EH14 4AS, Midlothian, Scotland
[3] Heriot Watt Univ, Maxwell Inst Math Sci, Edinburgh EH14 4AS, Midlothian, Scotland
来源
关键词
Adverse selection; Loss coverage; Elasticity of demand; Arc elasticity of demand; Heterogeneous risk preferences; RISK CLASSIFICATION; SELECTION; MARKETS;
D O I
10.1016/j.insmatheco.2017.12.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Restrictions on insurance risk classification may induce adverse selection, which is usually perceived as a bad outcome. We suggest a counter-argument to this perception in circumstances where modest levels of adverse selection lead to an increase in 'loss coverage', defined as expected losses compensated by insurance for the whole population. This happens if the shift in coverage towards higher risks under adverse selection more than offsets the fall in number of individuals insured. The possibility of this outcome depends on insurance demand elasticities for higher and lower risks. We state elasticity conditions which ensure that for any downward-sloping insurance demand functions, loss coverage when all risks are pooled at a common price is higher than under fully risk-differentiated prices. Empirical evidence suggests that these conditions may be realistic for some insurance markets. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:15 / 25
页数:11
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