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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 (6) Track citations by RSS feed

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https://www2.census.gov/ces/tp/tp-2004-04.pdf First version, 2004 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:cen:tpaper:2004-04

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