IDEAS home Printed from https://ideas.repec.org/p/xrs/sfbmaa/08-41.html

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

Author

Listed:
  • Ziegelmeyer, Michael

    (MEA, University of Mannheim)

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," Sonderforschungsbereich 504 Publications 08-41, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    • 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.
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. repec:mea:meawpa:12262 is not listed on IDEAS
    3. repec:mea:meawpa:14282 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:xrs:sfbmaa:08-41. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carsten Schmidt The email address of this maintainer does not seem to be valid anymore. Please ask Carsten Schmidt to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/sfmande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.