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Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics

Listed author(s):
  • Javier Miranda
  • Lars Vilhuber

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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File URL: https://www2.census.gov/ces/wp/2016/CES-WP-16-10.pdf
File Function: First version, 2016
Download Restriction: no

Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Working Papers with number 16-10.

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Length: 29 pages
Date of creation: Feb 2016
Handle: RePEc:cen:wpaper:16-10
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Web page: http://www.census.gov/ces
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  1. Drechsler, Jörg & Reiter, Jerome P., 2010. "Sampling With Synthesis: A New Approach for Releasing Public Use Census Microdata," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1347-1357.
  2. John Haltiwanger & Ron S. Jarmin & Javier Miranda, 2010. "Who Creates Jobs? Small vs. Large vs. Young," Working Papers 10-17, Center for Economic Studies, U.S. Census Bureau.
  3. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters,in: Producer Dynamics: New Evidence from Micro Data, pages 149-230 National Bureau of Economic Research, Inc.
  4. Satkartar K. Kinney & Jerome P. Reiter & Arnold P. Reznek & Javier Miranda & Ron S. Jarmin & John M. Abowd, 2011. "Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database," International Statistical Review, International Statistical Institute, vol. 79(3), pages 362-384, December.
  5. Pugsley, Benjamin & Sahin, Aysegul, 2014. "Grown-up business cycles," Staff Reports 707, Federal Reserve Bank of New York, revised 01 Sep 2015.
  6. Ron S. Jarmin & Thomas A. Louis & Javier Miranda, 2014. "Expanding The Role Of Synthetic Data At The U.S. Census Bureau," Working Papers 14-10, Center for Economic Studies, U.S. Census Bureau.
  7. Satkartar K. Kinney & Jerome P. Reiter & Javier Miranda, 2014. "Improving The Synthetic Longitudinal Business Database," Working Papers 14-12, Center for Economic Studies, U.S. Census Bureau.
  8. Jörg Drechsler, 2012. "New data dissemination approaches in old Europe -- synthetic datasets for a German establishment survey," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(2), pages 243-265, April.
  9. Joseph W. Sakshaug & Trivellore E. Raghunathan, 2013. "Synthetic Data For Small Area Estimation In The American Community Survey," Working Papers 13-19, Center for Economic Studies, U.S. Census Bureau.
  10. Karr, A.F. & Kohnen, C.N. & Oganian, A. & Reiter, J.P. & Sanil, A.P., 2006. "A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality," The American Statistician, American Statistical Association, vol. 60, pages 224-232, August.
  11. Ryan Decker & John Haltiwanger & Ron Jarmin & Javier Miranda, 2014. "The Role of Entrepreneurship in US Job Creation and Economic Dynamism," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 3-24, Summer.
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