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The differential effects of identity theft victimization: how demographics predict suffering out-of-pocket losses
Security Journal ( IF 1.701 ) Pub Date : 2020-09-08 , DOI: 10.1057/s41284-020-00258-y
Dylan Reynolds

Research consistently finds that individuals with higher incomes have increased rates of identity theft victimization. Although the majority of these victims are able to recuperate losses by contacting various institutions, including credit card companies and banks, many victims still suffer out-of-pocket financial losses. Using logistic regression analyses, the effect of demographic predictors on suffering personal financial losses as a result of identity theft is examined. Drawing on the 2016 National Crime Victimization Survey—Identity Theft Supplement, this study finds that those with lower incomes, lower educational attainment, and those who are unmarried are at an increased risk of suffering out-of-pocket losses. The implications of these differential effects are discussed in the context of past research and victim support.



中文翻译:

身份盗窃受害的不同影响:人口统计学如何预测遭受的自付费用

研究一致发现,收入较高的个人身份盗窃受害率更高。尽管这些受害者中的大多数能够通过联系包括信用卡公司和银行在内的各种机构来挽回损失,但仍有许多受害者遭受了自付费用的经济损失。使用逻辑回归分析,检查人口统计预测因素对因身份盗窃而遭受的个人经济损失的影响。本研究利用 2016 年全国犯罪受害调查——身份盗窃增刊,发现收入较低、教育程度较低和未婚的人遭受自付费用损失的风险增加。在过去的研究和受害者支持的背景下讨论了这些不同影响的影响。

更新日期:2020-09-08
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