JSM 2005 - Toronto

Abstract #303441

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 58
Type: Topic Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: Business and Economics Statistics Section
Abstract - #303441
Title: Business Register Quality Metrics
Author(s): Sheryl Konigsberg*+ and David Talan and Richard Clayton
Companies: Bureau of Labor Statistics and Bureau of Labor Statistics and Bureau of Labor Statistics
Address: 2 Massachusetts Ave NE, Washington, DC, 20212, United States
Keywords: Business Register ; Quality Control, Metrics ; Longitudinal Database ; Business Employment Dynamics
Abstract:

One of the most important concerns involving large datasets is how the integrity of the data is maintained. In 1999, the U.S. Bureau of Labor Statistics (BLS) launched the Longitudinal Database (LDB)---the Bureau's establishment-based business register. The LDB is a relational database of 8.4 million business establishments linked longitudinally and based on the microdata submitted quarterly by States from Unemployment Insurance (UI) tax files. Data elements on these files include information on monthly employment, quarterly wages, business name and addresses, industry classification, geocodes, and other administrative data. Every business establishment contains a unique identifier that allows for tracking of individual establishments at the microlevel across quarters for the United States. The LDB has three critical functions: producing longitudinal Business Employment Dynamics (BED) statistics, serving as a sampling frame for establishment-based surveys for BLS, and serving as an important resource for labor market research.


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Revised March 2005