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Activity Number: 640
Type: Topic Contributed
Date/Time: Thursday, August 13, 2015 : 8:30 AM to 10:20 AM
Sponsor: Business and Economic Statistics Section
Abstract #316288
Title: Assessing the Data Quality of Public Use Tabulations Produced from Synthetic Data: Synthetic Business Dynamics Statistics
Author(s): Lars Vilhuber* and Javier Miranda
Companies: Cornell University and U.S. Census Bureau
Keywords: synthetic data ; disclosure avoidance ; LBD ; establishment data ; establishment statistics

We describe and analyze a method that blends records from both observed and synthetic microdata into public-use tabulations on establishment statistics. The resulting tables use synthetic data only in potentially sensitive cells. We describe different algorithms, and present preliminary results when applied to the Census Bureau's Business Dynamics Statistics and Synthetic Longitudinal Business Database, highlighting accuracy and protection afforded by the method when compared to existing public-use tabulations (with suppressions).

Authors who are presenting talks have a * after their name.

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