Redlining
Redlining is the practice of denying insurance coverage in specific geographic areas, supposedly because of a high likelihood of loss, while the alleged motivation is unlawful discrimination. Racial profiling or redlining has a long history in the property insurance industry in the United States. From a review of industry underwriting and marketing materials, court documents, and research by government agencies, industry and community groups, and academics, it is clear that race has long affected and continues to affect the policies and practices of the insurance industry.[31]
In July, 2007, The Federal Trade Commission (FTC) released a report presenting the results of a study concerning credit-based insurance scores in automobile insurance. The study found that these scores are effective predictors of risk. It also showed that African-Americans and Hispanics are substantially overrepresented in the lowest credit scores, and substantially underrepresented in the highest, while Caucasians and Asians are more evenly spread across the scores. The credit scores were also found to predict risk within each of the ethnic groups, leading the FTC to conclude that the scoring models are not solely proxies for redlining. The FTC indicated little data was available to evaluate benefit of insurance scores to consumers.[32] The report was disputed by representatives of the Consumer Federation of America, the National Fair Housing Alliance, the National Consumer Law Center, and the Center for Economic Justice, for relying on data provided by the insurance industry. [33]
All states have provisions in their rate regulation laws or in their fair trade practice acts that prohibit unfair discrimination, often called redlining, in setting rates and making insurance available.[34]
In determining premiums and premium rate structures, insurers consider quantifiable factors, including location, credit scores, gender, occupation, marital status, and education level. However, the use of such factors is often considered to be unfair or unlawfully discriminatory, and the reaction against this practice has in some instances led to political disputes about the ways in which insurers determine premiums and regulatory intervention to limit the factors used.
Redlining is the practice of denying insurance coverage in specific geographic areas, supposedly because of a high likelihood of loss, while the alleged motivation is unlawful discrimination. Racial profiling or redlining has a long history in the property insurance industry in the United States. From a review of industry underwriting and marketing materials, court documents, and research by government agencies, industry and community groups, and academics, it is clear that race has long affected and continues to affect the policies and practices of the insurance industry.[31]
In July, 2007, The Federal Trade Commission (FTC) released a report presenting the results of a study concerning credit-based insurance scores in automobile insurance. The study found that these scores are effective predictors of risk. It also showed that African-Americans and Hispanics are substantially overrepresented in the lowest credit scores, and substantially underrepresented in the highest, while Caucasians and Asians are more evenly spread across the scores. The credit scores were also found to predict risk within each of the ethnic groups, leading the FTC to conclude that the scoring models are not solely proxies for redlining. The FTC indicated little data was available to evaluate benefit of insurance scores to consumers.[32] The report was disputed by representatives of the Consumer Federation of America, the National Fair Housing Alliance, the National Consumer Law Center, and the Center for Economic Justice, for relying on data provided by the insurance industry. [33]
All states have provisions in their rate regulation laws or in their fair trade practice acts that prohibit unfair discrimination, often called redlining, in setting rates and making insurance available.[34]
In determining premiums and premium rate structures, insurers consider quantifiable factors, including location, credit scores, gender, occupation, marital status, and education level. However, the use of such factors is often considered to be unfair or unlawfully discriminatory, and the reaction against this practice has in some instances led to political disputes about the ways in which insurers determine premiums and regulatory intervention to limit the factors used.
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