Abstract #301712

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JSM 2003 Abstract #301712
Activity Number: 370
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301712
Title: Implementing Improved Microdata Wage Editing on Universe Data at BLS
Author(s): Gordon H. Mikkelson*+ and Mary Dorinda Allard and Linda I. Unger and Glen Read
Companies: Bureau of Labor Statistics and Bureau of Labor Statisics and Bureau of Labor Statistics and Utah Government
Address: 3209 Bustleton Ln., Silver Spring, MD, 20906-3058,
Keywords: seasonality ; insufficient data ; data quality ; tolerances
Abstract:

The Covered Employment and Wages Program, also known as the ES-202 program, is a cooperative program between the Bureau of Labor Statistics (BLS) and the State Employment Security Agencies. The ES-202 program produces a comprehensive tabulation of employment and wage information for workers covered by state unemployment insurance laws and for federal workers covered by the Unemployment Compensation for Federal Employees program. Additional private and public sector activities are implemented or adjusted based on the wages from the ES-202 program. States and BLS ensure the accuracy and reliability of the wages using one primary wage edit. Staff use the edit results to review, research, correct, and explain suspect data. Recently, a new wage editing initiative was undertaken to improve the existing edit to better target suspect data. Two major components of the edits were examined: those records without sufficient historical data to properly function and those where adequate data exist but either were flagged without cause or were bypassed when they should have flagged. Several editing and screening options were empirically tested, and the results are presented.

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