Field Data on Accounting Error Rates and Audit Sampling

Author:

Durney Michael1,Elder Randal J.1,Glover Steven M.1

Affiliation:

1. Michael Durney is an Auditor at Ernst & Young LLP, Randal J. Elder is a Professor at Syracuse University, and Steven M. Glover is a Professor at Brigham Young University.

Abstract

SUMMARY: Changes in the accounting and auditing environments since the passage of Sarbanes-Oxley (SOX) and the creation of the Public Accounting Oversight Board (PCAOB) have likely impacted accounting population error rates and audit sampling procedures. We investigate accounting population error rates and auditor sampling performance for a unique proprietary post-SOX dataset of 160 audit sampling applications for a large auditing firm. Compared to previous research, we find that in the post-SOX period, accounting data error rates are significantly lower in magnitude and frequency, sample sizes are significantly larger, and auditor performance has improved in evaluating sample errors. The low error rates suggest criticisms in prior research regarding audit sampling techniques may not be a serious concern for most audit sampling applications. Furthermore, we provide evidence that auditors' application of audit sampling is more consistent with the requirements in professional standards than previously reported.

Publisher

American Accounting Association

Subject

Economics and Econometrics,Finance,Accounting

Reference77 articles.

1. A longitudinal investigation of auditor error projection decisions;Allen;Auditing: A Journal of Practice & Theory,2005

2. American Institute of Certified Public Accountants (AICPA). 2011a. Audit Sampling. AU-C Section 530. New York, NY: AICPA.

3. American Institute of Certified Public Accountants (AICPA). 2011b. Materiality in Planning and Performing an Audit. AU-C Section 320. New York, NY: AICPA.

4. American Institute of Certified Public Accountants (AICPA) Audit Sampling Committee (ASC). 2012. AICPA Audit Sampling Audit Guide. New York, NY: AICPA.

5. Evaluation of the stratified regression estimator for auditing accounting populations;Baker;Journal of Accounting Research,1979

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3