JSM 2004 - Toronto

Abstract #301641

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Activity Number: 334
Type: Topic Contributed
Date/Time: Wednesday, August 11, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301641
Title: The Effect of Content Errors on Bias and Nonsampling Error in Estimates Derived from Samples of Administrative Records
Author(s): Barry W. Johnson*+ and Darien B. Jacobson
Companies: Internal Revenue Service and Internal Revenue Service
Address: Statistics of Income, Washington, DC, 20013,
Keywords: bias ; nonsampling error ; administrative records
Abstract:

The Statistics of Income Division of the IRS uses a number of methods for ensuring the quality and integrity of the data it produces for tax administration research. As a first line of quality assurance, codes and mathematically related fields are extensively tested as they are entered into computer systems. In addition, for a subsample of returns selected and processed in most studies, SOI assigns a second employee to enter and edit the data. Values from the original and second versions are then computer matched. A supervisor resolves discrepancies discovered during the match. The original value, second value, and correct values are all collected as a part of the quality review system, along with a set of codes that describe the cause of the error. This paper will use quality review data from federal estate tax returns selected into the calendar year 2002 Statistics of Income (SOI) estate tax sample to study editor errors in the SOI data. We will examine the effects of these nonsampling errors on the final estimates, with particular focus on identifying patterns that can be addressed during editor training.

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