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The Margin of Error on Damages Calculations Based on Sample Survey Data in Class Action Wage and Hour Cases

机译:基于集体诉讼工资和小时数案例中抽样调查数据的损害赔偿计算的误差幅度

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摘要

The margin of error associated with sample survey data has been a persistently controversial statistic when measuring class-wide damages in wage and hour cases, at least in California, if not generally. The source of controversy stems from two legal decisions which are thought to maintain that certain margins of error with respect to the sample mean were too high. The two cases, both from California, are Bell v. Farmers Insurance and Duran v. U.S. Bank. The Bell court found a relative margin of error of 32.4 percent was unacceptable whereas the Duran court found a relative margin of error of 43.3 percent was unacceptable. The Bell court also found a 9.6 percent relative margin of error acceptable. However, neither of these legal decisions explicitly specified the acceptable range for the margin of error. Moreover, these legal decisions do not address the potential remedies for a margin of error that may be considered too high. This article discusses a remedy that provides the courts with a projection of damages that allows them to make an award to the class members in accord with generally accepted statistical science that protects and balances the welfare of defendants and plaintiffs.
机译:在测量工资和小时工时全班范围的损害时,与样本调查数据相关的误差幅度一直是一个有争议的统计数据,至少在加利福尼亚,如果不是普遍的话。争议的根源来自两个法律判决,认为这两个判决均认为样本均值的某些误差幅度过高。这两个案件均来自加利福尼亚,分别是贝尔诉农民保险案和杜兰诉美国银行案。贝尔法院发现32.4%的相对误差幅度是不可接受的,而杜兰法院认为43.3%的相对误差幅度是不可接受的。贝尔法院还发现可接受的相对误差为9.6%。但是,这些法律判决均未明确规定误差幅度的可接受范围。此外,这些法律决定并未针对可能被认为过高的误差幅度解决潜在的补救措施。本文讨论了一种补救措施,该补救措施可为法院提供预计的损害赔偿,使他们能够根据公认的统计科学来保护和平衡被告和原告的福利,从而向集体成员作出裁决。

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  • 来源
    《Journal of Legal Economics》 |2019年第2期|139-155|共17页
  • 作者单位

    Allman & Petersen Economics LLC 7677 Oakport Street Suite 610 Oakland California 94621 (510) 382-1550 (phone) (510) 382-1472 (fax);

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  • 正文语种 eng
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  • 入库时间 2022-08-18 05:06:02

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