Insurance Pricing Discrimination and Aristotelian Equality: An Application to Minority Annuity Pricing

David A. Cather
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Abstract

International courts often apply the social justice standard of Aristotelian equality - treating like people alike and unlike people differently - to cases involving insurance pricing discrimination. This article examines whether the use of insurance pricing variables like gender and race results in discriminatory pricing categories consisting of heterogeneous policy owners, in violation of Aristotelian equality. The article applies this discrimination standard to the pricing of annuities, drawing from studies investigating the racial mortality crossover, data that shows that the mortality rate of black Americans falls below the rate of white Americans at advanced ages. Based on the crossover literature, this study demonstrates how race-based annuity pricing would be discriminatory because it results in heterogeneous pricing within racial pricing categories, but that insurers can control for this heterogeneity by using the wider variety of annuity pricing data (e.g., medical history, diseases, and smoking) developed in the enhanced annuity submarket. The article demonstrates how the increased use of data analytics in insurance pricing to control for heterogeneity is consistent with Aristotelian equality.
保险定价歧视与亚里士多德平等:在少数民族年金定价中的应用
国际法院经常在涉及保险定价歧视的案件中应用亚里士多德平等的社会正义标准——一视同仁对待同类人,区别对待异类人。本文考察了性别和种族等保险定价变量的使用是否会导致由异质保单所有者组成的歧视性定价类别,这违反了亚里士多德平等理论。这篇文章将这一歧视标准应用于年金定价,从调查种族死亡率交叉的研究中得出数据,这些数据表明,美国黑人的死亡率低于美国白人的老年死亡率。基于交叉文献,本研究证明了基于种族的年金定价将如何具有歧视性,因为它导致种族定价类别内的异质性定价,但保险公司可以通过使用在增强的年金子市场中开发的更广泛的年金定价数据(例如,病史,疾病和吸烟)来控制这种异质性。本文论证了在保险定价中越来越多地使用数据分析来控制异质性是如何与亚里士多德平等相一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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