Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/31918
Authors: 
Drechsler, Jörg
Dundler, Agnes
Bender, Stefan
Rässler, Susanne
Zwick, Thomas
Year of Publication: 
2007
Series/Report no.: 
IAB discussion paper 2007,11
Abstract: 
For micro-datasets considered for release as scientific or public use files, statistical agencies have to face the dilemma of guaranteeing the confidentiality of survey respondents on the one hand and offering sufficiently detailed data on the other hand. For that reason a variety of methods to guarantee disclosure control is discussed in the literature. In this paper, we present an application of Rubin's (1993) idea to generate synthetic datasets from existing confidential survey data for public release. We use a set of variables from the 1997 wave of the German IAB Establishment Panel and evaluate the quality of the approach by comparing results from an analysis by Zwick (2005) with the original data with the results we achieve for the same analysis run on the dataset after the imputation procedure. The comparison shows that valid inferences can be obtained using the synthetic datasets in this context, while confidentiality is guaranteed for the survey participants.
Subjects: 
IAB-Betriebspanel
Datensicherheit
Datenschutz
Datenaufbereitung
Anonymität
JEL: 
C11
C13
C49
C53
Document Type: 
Working Paper

Files in This Item:
File
Size
414.96 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.