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Insurance loss coverage and demand elasticities

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  • Hao, MingJie
  • Macdonald, Angus S.
  • Tapadar, Pradip
  • Thomas, R. Guy

Abstract

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.

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  • Hao, MingJie & Macdonald, Angus S. & Tapadar, Pradip & Thomas, R. Guy, 2018. "Insurance loss coverage and demand elasticities," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 15-25.
  • Handle: RePEc:eee:insuma:v:79:y:2018:i:c:p:15-25
    DOI: 10.1016/j.insmatheco.2017.12.002
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    7. Jason Nassios & James Giesecke, 2022. "Property Tax Reform: Implications for Housing Prices and Economic Productivity," Centre of Policy Studies/IMPACT Centre Working Papers g-330, Victoria University, Centre of Policy Studies/IMPACT Centre.

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