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

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  • Ziegelmeyer, Michael

Abstract

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.

Suggested Citation

  • Ziegelmeyer, Michael, 2009. "Documentation of the logical imputation using the panel structure of the 2003-2008 German SAVE Survey," Papers 08-41, Sonderforschungsbreich 504.
    • Handle: RePEc:mnh:spaper:2384
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    File URL: https://madoc.bib.uni-mannheim.de/2384/1/dp08_41.pdf
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    References listed on IDEAS

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    1. 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.
    2. Joachim R. Frick & Markus M. Grabka, 2007. "Item Non-response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective," SOEPpapers on Multidisciplinary Panel Data Research 49, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. 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.
    4. 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.
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    Cited by:

    1. Michael Ziegelmeyer, 2013. "Illuminate the unknown: evaluation of imputation procedures based on the SAVE survey," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(1), pages 49-76, January.
    2. Michael Ziegelmeyer & Julius Nick, 2013. "Backing out of private pension provision: lessons from Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(3), pages 505-539, August.
    3. repec:mea:meawpa:12262 is not listed on IDEAS
    4. repec:mea:meawpa:14282 is not listed on IDEAS
    5. Coppola, Michela & Börsch-Supan, Axel, 2011. "The German SAVE Study: Design, selected results and future developments," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48733, Verein für Socialpolitik / German Economic Association.
    6. Axel Börsch‐Supan & Martin Gasche & Michael Ziegelmeyer, 2010. "Auswirkungen der Finanzkrise auf die private Altersvorsorge," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 11(4), pages 383-406, November.
    7. Lamla, Bettina & Coppola, Michela, 2013. "Is it all about access? Perceived access to occupational pensions in Germany," MEA discussion paper series 201312, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    8. repec:mea:meawpa:12264 is not listed on IDEAS
    9. Gasche, Martin & Lamla, Bettina, 2012. "Erwartete Altersarmut in Deutschland: Pessimismus und Fehleinschätzungen – Ergebnisse aus der SAVE-Studie," MEA discussion paper series 201213, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    10. Bucher-Koenen, Tabea & Lamla, Bettina, 2014. "The long Shadow of Socialism: On East-West German Differences in Financial Literacy," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100585, Verein für Socialpolitik / German Economic Association.
    11. Bucher-Koenen, Tabea, 2011. "Financial Literacy, Riester Pensions, and Other Private Old Age Provision in Germany," MEA discussion paper series 11250, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

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    More about this item

    Keywords

    Item-nonresponse ; imputation ; panel data ; SAVE;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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