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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," 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
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    File URL: https://www.econstor.eu/bitstream/10419/48733/1/VfS_2011_pid_608.pdf
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    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. Ziegelmeyer, Michael, 2009. "Documentation of the logical imputation using the panel structure of the 2003-2008 German SAVE Survey," Papers 08-41, Sonderforschungsbreich 504.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    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

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