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Examining the Examiners:SEC Error Detection Rates and Human Capital Allocation

机译:审查审查员:SEC错误检测率和人力资本分配

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摘要

The ability to detect misreporting is an important aspect of financial reporting regulation. I derive a measure of SEC error detection rates using information from comment letter reviews. Conditional on the SEC issuing a comment letter, I find that the review team detects an error resulting in a restatement in 4.6 percent of cases, while firms eventually restate financial reports for 13.6 percent of periods under review. My measure of SEC error detection rates is the ratio of reviews that detect an error to total reviews that could have detected an error. I document a positive association between detection rates and review team size. Using a novel approach to identify examiner characteristics, I show that this association is driven by the number of accountants on the review team. I find an economically insignificant association between individual examiner performance and economic or career incentives.JEL Classifications: G18; M41; M48.Data Availability: The examiner characteristics data used in this study are available upon request. All other data are available from the sources cited in the text.
机译:检测误报的能力是财务报告监管的一个重要方面。我使用来自评论信函评论的信息来获得SEC错误检测率的衡量标准。条件是关于发布评论信的证券,我发现审查小组检测到出现的错误,导致了4.6%的案件的重述,而公司最终将财务报告重述了审查下的13.6%的财务报告。我的SEC错误检测率的衡量标准是检测到可以检测到错误的总审查错误的审查比率。我记录了检测率与审查团队规模之间的积极关联。使用一种新颖的方法来识别审查员特征,我表明这一协会是由审查团队的会计师人数驱动的。我在个人审查员绩效和经济或职业奖励之间找到了经济微不足道的关联。jel分类:g18; M41; M48.DATA可用性:本研究中使用的审查员特性可应要求提供。所有其他数据都可以从文本中引用的源。

著录项

  • 来源
    《The accounting review》 |2021年第3期|313-341|共29页
  • 作者

    Kubic Matthew;

  • 作者单位

    The University of Texas at Austin;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
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