Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data
John Abowd () and
Simon Woodcock
Longitudinal Employer-Household Dynamics Technical Papers from Center for Economic Studies, U.S. Census Bureau
Abstract:
This paper describes ongoing research to protect confidentiality in longitudinal linked data through creation of multiply-imputed, partially synthetic data. We present two enhancements to the methods of [2]. The first is designed to preserve marginal distributions in the partially synthetic data. The second is designed to protect confidential links between sampling frames.
Pages: 10 pages
Date: 2004-06
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://www2.census.gov/ces/tp/tp-2004-04.pdf First version, 2004 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cen:tpaper:2004-04
Access Statistics for this paper
More papers in Longitudinal Employer-Household Dynamics Technical Papers from Center for Economic Studies, U.S. Census Bureau Contact information at EDIRC.
Bibliographic data for series maintained by Dawn Anderson ().