In insurance, adverse selection happens when people with greater expected claims risk are more likely to buy a policy, while lower-risk people buy less.
The imbalance raises expected loss costs and pushes insurers to raise rates for everyone unless controls exist.
Insurance mechanics
- At application, incomplete or uneven information creates information asymmetry.
- As risk pools worsen, expected claims rise versus expected premiums.
- Insurers use screening, medical questionnaires, underwriting rules, and dynamic pricing to reduce imbalance.
Claims logic
The claims team often sees adverse selection indirectly: loss spikes cluster where underwriting controls were weak or disclosure failed.
This is why insurers track claims by underwriting class and issue year, then feed results back into underwriting and pricing.
Underwriting context
Risk engines often combine:
- age, occupation, and health indicators,
- prior losses,
- and behavioral indicators.
These checks reduce the chance that applicants who most need coverage but decline disclosure enter at too-low rates.
Practical scenario
Two applicants from the same zip code apply for identical term life coverage. One has unmanaged diabetes and withholds details. The insurer pays claims at a rate not matched by the original pricing. Over time, the block is repriced, and non-smokers begin seeing higher renewal rates.