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Statistical Sampling in Tax Audits

Bibliographic Data

ID22934836
AuthorsJoseph C Bright (Philadelphia Fire Department, corresponding author), Joseph B Kadane (0000-0003-1548-5912, Carnegie Mellon University), Daniel S Nagin (0000-0003-0075-1851, Carnegie Mellon University)
Year1988
Volume13
Issue02
Pages305-333
Publication date1988-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLaw & Social Inquiry (JOURNAL)
Journal identifiersISSN: 0897-6546 • E-ISSN: 1747-4469
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1111/j.1747-4469.1988.tb01119.x
OpenAlexW2055320540
LanguageEN

The courts, with some important qualifications, have been reluctant to uphold tax assessments based on a review of only a sample of all transactions. In this article we argue that audit assessments based on appropriately drawn and analyzed statistical samples do not suffer from the defects that the courts have correctly concluded mar assessments based on nonstatistical samples. We do, however, argue that because of the inherent imprecision of assessments based on a less-than-complete review of all records, the calculation of the assessment should include a factor to take into account the risk that the taxpayer has been overassessed. We suggest an assessment rule that does just this and also recommend guidelines for the use of statistical sampling in tax audits.

Actuarial science · Audit · Business · Econometrics · Economics · Political science · Sample (material) · Sampling (signal processing) · Taxpayer · Accounting · Computer Science · Law · Law, Economics, and Judicial Systems · Legal and Constitutional Studies · Taxation and Compliance Studies

Citation velocityhistorical
Highly citedNo

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