首页> 外文OA文献 >Monitoring and privacy in automobile insurance markets with moral hazard
【2h】

Monitoring and privacy in automobile insurance markets with moral hazard

机译:汽车保险市场的监控和隐私与道德风险

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper considers moral hazard insurance markets when voluntary monitoring technologies are available and insureds may choose the precision of monitoring. Also privacy costs incurred thereby are taken into account. Two alternative contract schemes are compared in terms of welfare: (i) monitoring conditional on the loss with only the insurance indemnities based on the monitoring data, and (ii) unrestricted monitoring with both the premiums and the indemnities depending on the data. With any contract scheme some monitoring will be optimal unless the privacy costs increase too fast in relation to the precision of the monitoring signal. In the benchmark situation (without privacy costs) relying completely on both signals (monitoring and the outcome) informative of effort (ii) maximizes welfare. In the presence of privacy costs, the contract with conditional monitoring (i) might dominate the contract which fully includes the outcome and the monitoring signal into the sharing rule (ii). Apart from the direct effect of restricting privacy costs only to the state of loss, there are also an additional indirect incentive and a risk-sharing effect with this contract. Letting the individuals choose the precision of the monitoring technology at the time they reveal the data (ex post) is inefficient with either contract scheme.
机译:当自愿监测技术可用且被保险人可以选择监测精度时,本文考虑了道德风险保险市场。还考虑了由此产生的隐私成本。在福利方面比较了两个备选合同计划:(i)基于损失的条件进行监视,仅基于监视数据进行保险赔偿;(ii)无限制的监视,根据数据进行保费和弥偿。对于任何合同方案,除非隐私成本相对于监视信号的精度增加得太快,否则某些监视将是最佳的。在基准情况下(无隐私成本),完全依赖两个信号(监视和结果),努力的信息(ii)使福利最大化。在存在隐私成本的情况下,带有条件监视(i)的合同可能会主导该合同,该合同将结果和监视信号完全包含在共享规则(ii)中。除了将隐私成本限制为仅处于损失状态的直接效果之外,此合同还具有其他间接诱因和风险分担效果。无论采用哪种合同方案,让个人在透露数据(事后)时选择监控技术的精度都是低效的。

著录项

  • 作者

    Filipova Lilia;

  • 作者单位
  • 年度 2007
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号