How to use data swapping to create useful dummy data for panel datasets

Peter Jacobebbinghaus, Dana Müller and Agnes Orban
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Peter Jacobebbinghaus: Institute for Employment Research (IAB), Nuremberg, Germany
Dana Müller: Institute for Employment Research (IAB), Nuremberg, Germany
Agnes Orban: University of Mannheim, Germany

No 201003 (en), FDZ-Methodenreport from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "Many research data centres (RDCs) provide access to micro data by means of onsite use and remote execution of programs. An efficient usage of these modes of data access requires the researchers to have dummy data, which allows them to familiarize with the real data. These dummy data must be anonymous and look the same as the original data, but they do not have to render valid results. For complex datasets such as panel data or linked data, the creation of useful dummy data is not trivial. In this paper we suggest to use data swapping with constraints in order to keep some consistency and correlation between variables within crosssections and over time. It is easy to be implemented even for datasets with many variables and many survey waves." (Author's abstract, IAB-Doku) ((en))

Keywords: Datenaufbereitung; Datenzugang; IAB-Betriebs-Historik-Panel; IAB-Betriebspanel; Panel; Prüfverfahren; Test (search for similar items in EconPapers)
Pages: 19 pages
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabfme:201003(en)

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