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Using the Newcomb-Benford Law as a Deviation Identification Method in Continuous Auditing Environments: A Proposal for Detecting Deviations over Time *

机译:在连续审计环境中使用Newcomb-Benford定律作为偏差识别方法:关于随时间推移检测偏差的建议*

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This paper used the Newcomb-Benford Law (NB Law) to analyze 210,899 contracts issued by sixty management units in two states in the Brazilian Northeast in 2010. In this article we seek to address the following question: What proposal emerges from the need to identify financial deviations over time in terms of NB Law compliance in continuous auditing scenarios? To this end, the goal of the paper is to analyze this compliance with the aim of identifying deviations over time. The analysis focuses on first significant digit distribution. Graphical analysis of observed frequencies and time series of relative discrepancies reveals the formation of typical patterns of divergences from Public Tenders Law (Federal Law n. 8.666/93). From the results obtained, we conclude that time series analysis of NB Law compliance can improve the accuracy of sampling procedures in continuous auditing.
机译:本文使用Newcomb-Benford法(NB法)分析了2010年巴西东北部两个州的60个管理部门签发的210,899张合同。在本文中,我们试图解决以下问题:从确定需求中得出什么建议在持续审核的情况下,根据《 NB法》合规性在一段时间内存在财务偏差?为此,本文的目的是分析这种一致性,以识别随时间变化的偏差。分析着重于第一有效数字分布。对观察到的频率和相对差异的时间序列的图形分析揭示了与公共招标法(联邦法第8.666 / 93号)的典型背离模式。根据获得的结果,我们得出结论,对《 NB法》合规性进行时间序列分析可以提高连续审核中抽样程序的准确性。

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