Which factors safeguard employment? : An analysis with misclassified German register data
Abstract"We analyse the main determinants for job separation with transition to unemployment using individual administrative data from Germany. While the sample size is large and the information in target variables is often highly accurate, non-target variables are subject to considerable measurement error due to a lack of relevance for the data generating process. We show that the high degree of misclassification can even persist after comprehensive logical editing and imputation rules were applied. We find that the measurement error has a sizable effect on our estimation results. Long tenure rather than a higher educational qualification appears to be the key ingredient for a safe job in Germany." (Author's abstract, IAB-Doku) ((en)) Additional Information Appendix for the FDZ-Methodenreport No. 11/2010: Programs
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Bibliographic InfoPaper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Methodenreport with number 201011_en.
Length: 34 pages
Date of creation: 21 Dec 2010
Date of revision:
Publication status: published in: Journal of the Royal Statistical Society
Beschäftigungsdauer; Beschäftigungssicherung - Determinanten; Datengewinnung; Datenaufbereitung; Datenqualität;
Other versions of this item:
- Laura Wichert & Ralf A. Wilke, 2012. "Which factors safeguard employment?: an analysis with misclassified German register data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 135-151, 01.
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