IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc11/48733.html
   My bibliography  Save this paper

The German SAVE Study: Design, selected results and future developments

Author

Listed:
  • Coppola, Michela
  • Börsch-Supan, Axel

Abstract

Understanding how households form their long-term saving and investment decisions to shoulder risks not covered by social security systems has been of primary importance in all the countries which, like Germany, introduced major reforms to face the challenges of an aging population. This paper documents the scientific background and the design of the SAVE survey, a panel study developed in 2001 aimed at analyzing households’ saving behaviour. Few selected results of particular relevance for the analysis of the private old-age provision in Germany are also presented. Ultimately, the future development of the SAVE-project is sketched. It will contribute to answer the new questions that challenge researchers as well as policymakers, after the financial crisis and now that the reforms of the social system in Germany are implemented.

Suggested Citation

  • 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.
    • Handle: RePEc:zbw:vfsc11:48733
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/48733/1/VfS_2011_pid_608.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Ziegelmeyer, Michael, 2009. "Documentation of the logical imputation using the panel structure of the 2003-2008 German SAVE Survey," Papers 08-41, Sonderforschungsbreich 504.
    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. 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.
    5. Hilary W. Hoynes & Michael D. Hurd & Harish Chand, 1998. "Household Wealth of the Elderly under Alternative Imputation Procedures," NBER Chapters, in: Inquiries in the Economics of Aging, pages 229-257, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Börsch-Supan, Axel & Coppola, Michela & Reil-Held, Anette, 1970. "Riester Pensions in Germany: Design, Dynamics, Targetting Success and Crowding-In," MEA discussion paper series 201220, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    3. Daniel Schunk, 2007. "A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey," MEA discussion paper series 07121, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    4. 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.
    5. 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.
    6. 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.
    7. Börsch-Supan, Axel & Reil-Held, Anette & Schunk, Daniel, 2007. "The savings behaviour of German households: First Experiences with state promoted private pensions," MEA discussion paper series 07136, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    8. repec:mea:meawpa:14282 is not listed on IDEAS
    9. repec:mea:meawpa:12262 is not listed on IDEAS
    10. 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.
    11. 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.
    12. Bannier, Christina E. & Neubert, Milena, 2016. "Actual and perceived financial sophistication and wealth accumulation: The role of education and gender," CFS Working Paper Series 528, Center for Financial Studies (CFS).
    13. Necker, Sarah & Ziegelmeyer, Michael, 2016. "Household risk taking after the financial crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 141-160.
    14. Bucher-Koenen, Tabea & Koenen, Johannes, 2015. "Do Seemingly Smarter Consumers Get Better Advice?," MEA discussion paper series 201501, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    15. Bannier, Christina E. & Schwarz, Milena, 2018. "Gender- and education-related effects of financial literacy and confidence on financial wealth," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 66-86.
    16. repec:mea:meawpa:14279 is not listed on IDEAS
    17. 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.
    18. 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.
    19. repec:mea:meawpa:12264 is not listed on IDEAS
    20. 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.
    21. Bannier, Christina E. & Schwarz, Milena, 2017. "Skilled but unaware of it: Occurrence and potential long-term effects of females' financial underconfidence," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168188, Verein für Socialpolitik / German Economic Association.
    22. Tabea Bucher†Koenen & Bettina Lamla†Dietrich, 2018. "The Long Shadow of Socialism: Puzzling Evidence on East†West German Differences in Financial Literacy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 47(2-3), pages 413-438, July.
    23. Michael D. Hurd & Daniel McFadden & Angela Merrill, 2001. "Predictors of Mortality among the Elderly," NBER Chapters, in: Themes in the Economics of Aging, pages 171-198, National Bureau of Economic Research, Inc.
    24. Timothy F. Harris & Aaron Yelowitz, 2017. "Nudging Life Insurance Holdings In The Workplace," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 951-981, April.

    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
    • D10 - Microeconomics - - Household Behavior - - - General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

    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:zbw:vfsc11:48733. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.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.