A new approach for disclosure control in the IAB establishment panel -- multiple imputation for a better data access

DOI10.1007/s10182-008-0090-1zbMath1477.62038OpenAlexW2164744796MaRDI QIDQ2006871

Stefan Bender, Susanne Rässler, Agnes Dundler, Thomas Zwick, Jörg Drechsler

Publication date: 12 October 2020

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-008-0090-1

zbMATH Keywords

confidentialitymultiple imputationstatistical disclosure controlIAB establishment panelsynthetic datasets

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (3)

Providing access to confidential research data through synthesis and verification: an application to data on employees of the U.S. federal government ⋮ New data dissemination approaches in old Europe – synthetic datasets for a German establishment survey ⋮ Simultaneous edit-imputation and disclosure limitation for business establishment data

Cites Work

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• Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study
• Elements of statistical disclosure control
• Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
• Miscellanea. Small-sample degrees of freedom with multiple imputation

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