Mar
25
2008
H.R. 5633 Could Increase Premiums For Many Consumers
Author: Byron UdellH.R. 5633, which would amend the Fair Credit Reporting Act to prohibit the use of consumer information in connection with some personal lines of insurance, could lead to premium increases for many consumers.
Insurers’ use of credit scoring to price insurance policies makes pricing more accurate and results in many consumers paying less for their automobile and homeowners’ insurance policies, as numerous studies over the past decade have confirmed time and again. A study released by the Federal Trade Commission (FTC) in July reaffirmed the strong connection between credit information and loss risks and the soundness of using credit scoring to determine rates.
“Credit scoring is a highly accurate underwriting and rating tool,” said David A. Sampson, PCI’s president and CEO. “Using this information allows for more accurate pricing and saves many consumers money on their automobile and homeowners’ insurance policies. Consumers expect to pay a fair price for their insurance that matches their individual risk. Insurers simply want to use the most accurate, statistically valid tools available to achieve that goal. Credit information has proven to be one of the most accurate methods of predicting losses.”
The FTC report’s findings are consistent with earlier studies. Its major conclusions are as follows:
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Insurance scores are effective predictors of risk under automobile policies. They are predictive of the number of claims consumers file and the total cost of those claims. The use of scores is, therefore, likely to make the price of insurance better match the risk of loss posed by the consumer. Thus, on average, higher-risk consumers will pay higher premiums and lower-risk consumers will pay lower premiums.
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Use of credit-based insurance scores may result in benefits for consumers. For example, scores permit insurance companies to evaluate risk with greater accuracy, which may make them more willing to offer insurance to higher-risk consumers for whom they would otherwise not be able to determine an appropriate premium. Since scores also may make the process of granting and pricing insurance quicker and cheaper, cost savings may be passed on to consumers in the form of lower premiums.
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Credit-based insurance scores appear to have little effect as a “proxy” for membership in racial and ethnic groups in decisions related to insurance. The relationship between scores and claims risk remains strong when controls for race, ethnicity, and neighborhood income are included in statistical models of risk.
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