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

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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Year of publication:	2004-06
Authors:	Abowd, John M. ; Woodcock, Simon D.
Institutions:	Census Bureau, Department of Commerce

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Extent:	application/pdf
Series:	Longitudinal Employer-Household Dynamics Technical Papers.
Type of publication:	Book / Working Paper
Notes:	10 pages
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005581946