Affiliations: [a] Bureau of the Census, Washington, DC, USA | [b] Cornell University, Ithaca, NY, USA
Corresponding author: Lars Vilhuber, Cornell University, Ithaca, NY, USA. E-mail:[email protected]
Abstract: 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).