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Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data

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Author Info
John M. Abowd
Simon D. Woodcock

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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.

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File URL: http://lehd.did.census.gov/led/library/techpapers/tp-2004-04.pdf
File Format: application/pdf
File Function: First version, 2004
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Publisher Info
Paper provided by Longitudinal Employer-Household Dynamics, Center for Economic Studies, U.S. Census Bureau in its series Technical Papers with number 2004-04.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 10 pages
Date of creation: Jun 2004
Date of revision:
Handle: RePEc:cen:tpaper:2004-04

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Web page: http://lehd.did.census.gov/led/index.php

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