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Documentation of the logical imputation using the panel structure of the 2003-2008 German SAVE Survey

  • Ziegelmeyer, Michael

    ()

    (MEA, University of Mannheim)

This paper documents the implementation of a logical imputation based on the panel structure of the 2003 to 2008 waves of the German SAVE dataset. A new release of the waves 2003-2008 will be available from June 2009. The concept and the principles of the underlying logical panel imputation are described. Furthermore, the method applied to logically impute each variable is briefly commented. The logical panel imputation of the SAVE dataset reduces decisively the number of missing values for some variables. In some cases more than 50% of all missing values can be replaced by proper values.

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Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 08-41.

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Length: 16 pages
Date of creation: 28 May 2009
Date of revision:
Handle: RePEc:xrs:sfbmaa:08-41
Note: The author would like to thank Michela Coppola for very helpful support. Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
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  1. Joachim R. Frick & Markus M. Grabka, 2007. "Item Non-response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective," Discussion Papers of DIW Berlin 736, DIW Berlin, German Institute for Economic Research.
  2. Daniel Schunk, 2006. "The German SAVE Survey: Documentation and Methodology," MEA discussion paper series 06109, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  3. Daniel Schunk, 2008. "A Markov chain Monte Carlo algorithm for multiple imputation in large surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(1), pages 101-114, February.
  4. Susanne Rässler & Regina Riphahn, 2006. "Survey item nonresponse and its treatment," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 217-232, March.
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