Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics
Author(s) -
Javier Miranda,
Lars Vilhuber
Publication year - 2016
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2729428
Subject(s) - microdata (statistics) , statistics , econometrics , business , data science , computer science , economics , mathematics , medicine , environmental health , population , census
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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