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The German SAVE Survey: Documentation and Methodology

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  • Daniel Schunk

    ()
    (Munich Center for the Economics of Aging (MEA))

Abstract

The purpose of this document is to describe methodological details of the German SAVE survey and to provide users of SAVE with all necessary information for working with the publicly available SAVE dataset.

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File URL: http://mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/rnwid1gac4naiqoi_SAVE_Dokumentation_MEA_neu.pdf
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Bibliographic Info

Paper provided by Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy in its series MEA discussion paper series with number 06109.

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Date of creation: 07 Nov 2006
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Handle: RePEc:mea:meawpa:06109

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References

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  1. Lothar Essig, 2005. "Methodological aspects of the SAVE data set," MEA discussion paper series 05080, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  2. Daniel Schunk, 2008. "A Markov chain Monte Carlo algorithm for multiple imputation in large surveys," AStA Advances in Statistical Analysis, Springer, vol. 92(1), pages 101-114, February.
  3. Lothar Essig & Joachim K. Winter, 2009. "Item Non-Response to Financial Questions in Household Surveys: An Experimental Study of Interviewer and Mode Effects," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 367-390, December.
  4. Axel H. Boersch-Supan & Lothar Essig, 2005. "Household Saving in Germany: Results of the First SAVE Study," NBER Chapters, in: Analyses in the Economics of Aging, pages 317-356 National Bureau of Economic Research, Inc.
  5. Regina Riphahn & Oliver Serfling, 2005. "Item non-response on income and wealth questions," Empirical Economics, Springer, vol. 30(2), pages 521-538, 09.
  6. F. Thomas Juster & James P. Smith, 2004. "Improving the Quality of Economic Data: Lessons from the HRS and AHEAD," Labor and Demography 0402010, EconWPA.
  7. Hilary W. Hoynes & Michael D. Hurd & Harish Chand, 1998. "8. 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.
  8. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-96, July.
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Cited by:
  1. 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.
  2. Michael Berlemann & Marc-André Luik, 2014. "Institutional Reform and Depositors' Portfolio Choice - Evidence from Censored Quantile Regressions," CESifo Working Paper Series 4782, CESifo Group Munich.
  3. Axel Börsch-Supan & Anette Reil-Held & Daniel Schunk, 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.
  4. Ivonne Honekamp, 2012. "Financial Literacy and Retirement Savings in Germany," NFI Working Papers 2012-WP-03, Indiana State University, Scott College of Business, Networks Financial Institute.
  5. Pahnke, Luise & Honekamp, Ivonne, 2010. "Different Effects of Financial Literacy and Financial Education in Germany," MPRA Paper 22900, University Library of Munich, Germany.
  6. 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.

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