Show simple item record Reiter, JP Drechsler, J 2011-06-21T17:32:26Z 2010-01-01
dc.identifier.citation Statistica Sinica, 2010, 20 (1), pp. 405 - 421
dc.identifier.issn 1017-0405
dc.description.abstract To protect the confidentiality of survey respondents' identities and sensitive attributes, statistical agencies can release data in which confidential values are replaced with multiple imputations. These are called synthetic data. We propose a two-stage approach to generating synthetic data that enables agencies to release different numbers of imputations for different variables. Generation in two stages can reduce computational burdens, decrease disclosure risk, and increase inferential accuracy relative to generation in one stage. We present methods for obtaining inferences from such data. We describe the application of two stage synthesis to creating a public use file for a German business database.
dc.format.extent 405 - 421
dc.language.iso en_US en_US
dc.relation.ispartof Statistica Sinica
dc.title Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
dc.title.alternative en_US
dc.type Journal Article
dc.description.version Version of Record en_US 2010-1-0 en_US
duke.description.endpage 421 en_US
duke.description.issue 1 en_US
duke.description.startpage 405 en_US
duke.description.volume 20 en_US
dc.relation.journal Statistica Sinica en_US
pubs.issue 1
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Sanford School of Public Policy
pubs.organisational-group /Duke/Sanford School of Public Policy/Center for Child and Family Policy
pubs.organisational-group /Duke/Sanford School of Public Policy/Duke Population Research Institute
pubs.organisational-group /Duke/Sanford School of Public Policy/Duke Population Research Institute/Duke Population Research Center
pubs.organisational-group /Duke/Trinity College of Arts & Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences/Statistical Science
pubs.publication-status Published
pubs.volume 20

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