Using partially synthetic microdata to protect sensitive cells in business statistics
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Miranda, Javier; Vilhuber, Lars
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).
Vilhuber’s work is partially funded by NSF Grant #1042181 and #0941226. This work is part of the Census Bureau’s LBD Initiative.