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Which factors safeguard employment?: an analysis with misclassified German register data

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Author Info

  • Laura Wichert
  • Ralf A. Wilke

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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File URL: http://hdl.handle.net/10.1111/j.1467-985X.2011.00698.x
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Bibliographic Info

Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

Volume (Year): 175 (2012)
Issue (Month): 1 (01)
Pages: 135-151

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Handle: RePEc:bla:jorssa:v:175:y:2012:i:1:p:135-151

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Cited by:
  1. Giannelli, Gianna Claudia & Jaenichen, Ursula & Rothe, Thomas, 2013. "Doing Well in Reforming the Labour Market? Recent Trends in Job Stability and Wages in Germany," IZA Discussion Papers 7580, Institute for the Study of Labor (IZA).
  2. Kruppe, Thomas & Matthes, Britta & Unger, Stefanie, 2014. "Effectiveness of data correction rules in process-produced data : the case of educational attainment," IAB Discussion Paper 201415, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  3. Kohlbrecher, Britta & Merkl, Christian & Nordmeier, Daniela, 2014. "Revisiting the matching function," IAB Discussion Paper 201405, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  4. Lo, Simon M.S. & Stephan, Gesine & Wilke, Ralf, 2012. "Estimating the Latent Effect of Unemployment Benefits on Unemployment Duration," IZA Discussion Papers 6650, Institute for the Study of Labor (IZA).
  5. Dlugosz, Stephan, 2011. "Give missings a chance: Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information," ZEW Discussion Papers 11-013, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  6. Stephan Humpert, 2012. "Age and Gender Differences in Job Opportunities," Working Paper Series in Economics 235, University of Lüneburg, Institute of Economics.

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