Adverse selection

Adverse selection is a situation in which one party in a transaction has more information than the other, leading to the selection of riskier participants or less desirable outcomes for the less informed party.
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Updated on May 24, 2024
Reading time 3 minutes

3 key takeaways

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  • Adverse selection occurs when information asymmetry leads to imbalanced transactions.
  • It often results in higher risks or undesirable outcomes for the less informed party.
  • This concept is commonly seen in insurance, lending, and market transactions.

What is adverse selection?

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Adverse selection is a concept in economics and finance where one party in a transaction has access to more or better information than the other party, resulting in decisions that disadvantage the less informed party. This phenomenon often occurs when sellers have more information about the quality of a product than buyers, or when buyers know more about their own risk levels than insurers or lenders.

Importance of adverse selection

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Adverse selection is important because it can lead to market inefficiencies and failures. In situations where adverse selection is prevalent, markets may struggle to function effectively, as the less informed party often ends up with higher risks or less desirable outcomes. Understanding and mitigating adverse selection is crucial for maintaining fair and efficient markets.

How adverse selection works

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  • Information asymmetry: One party possesses more information about the product, service, or individual than the other. For example, a person applying for health insurance knows more about their health risks than the insurer.
  • Risk selection: The less informed party (e.g., the insurer) cannot accurately assess the risk and therefore may either charge higher premiums or avoid offering coverage altogether to mitigate potential losses.
  • Market impact: High-risk individuals are more likely to seek insurance or loans, while low-risk individuals may be deterred by high premiums or interest rates. This can lead to a pool of higher-risk participants, driving up costs and potentially leading to market failure.

Examples of adverse selection

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  • Insurance: In health insurance, individuals with higher health risks are more likely to purchase comprehensive coverage, while healthier individuals opt for minimal or no coverage. This increases the insurer’s risk pool and premiums.
  • Lending: In lending, borrowers with poor credit histories are more likely to seek loans, while those with good credit might avoid borrowing due to high interest rates, leading to a riskier loan portfolio for lenders.
  • Used car market: Sellers of used cars typically know more about the vehicle’s condition than buyers. Sellers of lower-quality cars are more likely to sell, while buyers are hesitant to pay high prices due to the risk of purchasing a “lemon.”

Real-world application

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Consider a health insurance company that offers policies without requiring medical exams. Healthier individuals, knowing their low risk, may opt out or choose minimal coverage. Meanwhile, individuals with existing health issues are more likely to purchase comprehensive plans. As a result, the insurer’s risk pool is skewed toward higher-risk individuals, increasing overall costs and premiums.

Understanding adverse selection is crucial for designing mechanisms to mitigate its effects, such as mandatory participation, thorough risk assessments, and differential pricing strategies. These approaches help ensure more balanced and efficient markets.

Related topics you may wish to learn about include moral hazard, information asymmetry, and market failure. These areas provide further insights into the dynamics of information and risk in economic transactions.


Sources & references

Arti

Arti

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Arti is a specialized AI Financial Assistant at Invezz, created to support the editorial team. He leverages both AI and the Invezz.com knowledge base, understands over 100,000 Invezz related data points, has read every piece of research, news and guidance we\'ve ever produced, and is trained to never make up new...