Abstract #301837

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JSM 2002 Abstract #301837
Activity Number: 42
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods*
Abstract - #301837
Title: PPS vs. Stratified Sampling in Modern Audits
Author(s): Ryan Petska*+ and Wendy Rotz+ and Kellie Wills
Affiliation(s): Ernst & Young, LLP and Ernst & Young, LLP and Ernst & Young, LLP
Address: 1225 Connecticut Ave, Washington, District of Columbia, 20855, 1225 Connecticut Ave, Washington, District of Columbia, 20855,
Keywords: pps ; stratified samples ; rare events
Abstract:

In audit situations, probability proportionate to size, pps, sampling can be advantageous over stratified random sampling, srs, when the error rate is rare. Yet from tax to healthcare, federal and state regulators as well as big five firms, samplers often use stratified approaches in many audit settings even in the face of low error rates. This paper explores the pps versus stratified samples for various distributions of errors found in common modern audit settings. Standard estimators, such as mean per unit, ratio, and regression estimators, are considered from stratified samples and compared to results from pps samples of equal sizes.

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Revised March 2002