TY  - JOUR
T1  - Using partially synthetic microdata to protect sensitive cells in business statistics
JF  - Statistical Journal of the International Association for Official Statistics
Y1  - 2016
A1  - Miranda, Javier
A1  - Vilhuber, Lars
KW  - confidentiality protection
KW  - gross job flows
KW  - local labor markets
KW  - Statistical Disclosure Limitation
KW  - Synthetic data
KW  - time-series
AB  - 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).
VL  - 32
UR  - http://content.iospress.com/download/statistical-journal-of-the-iaos/sji963
IS  - 1
ER  - 

TY  - RPRT
T1  - Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics
Y1  - 2015
A1  - Vilhuber, Lars
A1  - Miranda, Javier
AB  - Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics Vilhuber, Lars; Miranda, Javier 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).
PB  - Cornell University
UR  - http://hdl.handle.net/1813/42339
ER  - 

TY  - RPRT
T1  - Using partially synthetic data to replace suppression in the Business Dynamics Statistics: early results
Y1  - 2014
A1  - Miranda, Javier
A1  - Vilhuber, Lars
AB  - Using partially synthetic data to replace suppression in the Business Dynamics Statistics: early results Miranda, Javier; Vilhuber, Lars The Business Dynamics Statistics is a product of the U.S. Census Bureau that provides measures of business openings and closings, and job creation and destruction, by a variety of cross-classifications (firm and establishment age and size, industrial sector, and geography). Sensitive data are currently protected through suppression. However, as additional tabulations are being developed, at ever more detailed geographic levels, the number of suppressions increases dramatically. This paper explores the option of providing public-use data that are analytically valid and without suppressions, by leveraging synthetic data to replace observations in sensitive cells.
PB  - Cornell University
UR  - http://hdl.handle.net/1813/40852
ER  -