Using partially synthetic microdata to protect sensitive cells in business statistics | Zendy

Javier Miranda | Zendy; Lars Vilhuber | Zendy

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Using partially synthetic microdata to protect sensitive cells in business statistics

Author(s) -

Javier Miranda,

Lars Vilhuber

Publication year - 2016

Publication title -

statistical journal of the iaos

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.286

H-Index - 16

eISSN - 1875-9254

pISSN - 1874-7655

DOI - 10.3233/sji-160963

Subject(s) - microdata (statistics) , synthetic data , census , computer science , public use , statistics , econometrics , data science , data mining , mathematics , artificial intelligence , political science , sociology , population , demography , law

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 acknowledges support through NSF Grants SES-1042181 and BCS-0941226

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