Using the Benford Datasets and the Reddy and Sebastin Results to Form an Audit Alert Screening Heuristic: An Appraisal
Edward J Lusk and
The IUP Journal of Accounting Research and Audit Practices, 2014, vol. XIII, issue 3, 56-69
Digital Frequency Testing (DFT) is a simple and potentially effective tool that can be used efficiently in the certification audit as well as in the service of forensic investigations to rationalize the use of extended audit procedures at the substantive phase of the audit. To further the hegemony of DFT, this paper summarizes certain aspects of the excellent treatment of DFT offered by Reddy and Sebastin (2012). In the following, the paper takes up the development of a Benford Screening Window (BSW) that can be employed to create alerts as to when datasets under audit examination do not seem to conform to the DFT profile as corrected from the Benford (1938) paper. The BSW is tested vis-à-vis the log10expectation function, two accounting industry datasets downloaded from COMPUSTATTM, and the 12 years of in-kind committee contributions dataset developed by Reddy and Sebastin (2012). The paper finds a reasonable fit for these datasets for the BSW and hence suggests an overall calibration cut-off taken from the results obtained by passing the Reddy-Sebastin datasets through the BSW. In this paper, the authors have programmed an ExcelTMVBAâ driven Decision Support System (DSS) to aid in the creation of these audit alerts which is available for free as a download with no restriction on its use.
References: Add references at CitEc
Citations Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:icf:icfjar:v:13:y:2014:i:3:p:56-69
Access Statistics for this article
More articles in The IUP Journal of Accounting Research and Audit Practices from IUP Publications
Series data maintained by G R K Murty ().