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Analysis of Effects of Race on Insurance Companies' Operations in Chicago, December 1977 - November 1978

机译:种族对1977年12月至1978年11月在芝加哥的保险公司运营的影响分析

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摘要

Dataset Chicago is about the residential fire insurance policies issued in Chicago over December 1977 through February 1978; categorized as either voluntary, or involuntary, which includes state-offered Fair Access to Insurance Requirement (FAIR) plans (Wriggins 2010) for people who would be denied insurance because of high risk classification, after Fair Housing Act (FHA) has been in act since 1968 (Calmore 1997). Data size is relatively small as n = 47 Zip codes. Theft, fire and the age of the house are also provided, along with the median income on the size of the expected loss and insolvency. Main purpose of this article is to explore the relationship between insurance activity and the variable race. S-Plus, rather than numerical methods such as risk theory models, was employed by using Data Plots to exam data itself, Regression Fitting to get possible candidates of linear expressions, and Model Selection to pick the best model under different scenarios. The final result proves insurance companies were using race as a determinative factor of underwriting insurance contacts, but not the only determinative factor.
机译:芝加哥数据集是关于1977年12月至1978年2月在芝加哥发布的住宅火灾保险单;分为自愿性或非自愿性,其中包括在《公平住房法》(FHA)生效后因高风险分类而被拒绝保险的人提供的州提供的《公平获取保险要求》(FAIR)计划(Wriggins 2010)。自1968年以来(Calmore 1997)。数据大小相对较小,n = 47个邮政编码。还提供了盗窃,火灾和房屋的年龄,以及预期损失和破产规模的中位数收入。本文的主要目的是探讨保险活动与可变种族之间的关系。通过使用数据图来检查数据本身,使用回归拟合来获得线性表达式的可能候选者以及使用模型选择来选择不同情况下的最佳模型,而不是采用诸如风险理论模型之类的数值方法来使用S-Plus。最终结果证明,保险公司将种族作为承保保险合同的决定性因素,但不是唯一的决定性因素。

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