Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics
February 2016
Working Paper Number:
CES-16-10
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).
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:
market,
data,
aggregation,
statistical,
database,
data census,
report,
quarterly,
microdata,
disclosure,
aggregate,
information,
establishment,
incorporated,
privacy,
business data,
record,
census bureau,
employment statistics,
coverage,
inference,
datasets,
statistical disclosure
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identified to contain references to specific institutions, datasets, and other organizations.
:
Service Annual Survey,
Center for Economic Studies,
County Business Patterns,
Longitudinal Business Database,
Cornell University,
North American Industry Classification System,
American Community Survey,
Quarterly Workforce Indicators,
Disclosure Review Board,
Business Dynamics Statistics,
Federal Statistical Research Data Center
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