Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics
Javier Miranda and
Lars Vilhuber
Working Papers from U.S. Census Bureau, Center for Economic Studies
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).
Keywords: synthetic data; statistical disclosure limitation; time-series; local labor markets; gross job flows; confidentiality protection (search for similar items in EconPapers)
Pages: 29 pages
Date: 2016-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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https://www2.census.gov/ces/wp/2016/CES-WP-16-10.pdf First version, 2016 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:16-10
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