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Methodological aspects of the SAVE data set

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  • Lothar Essig

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

Abstract

This paper describes the general design of the SAVE survey: the design of the questionnaire, inter-viewer and interviewee motivation, and the sampling designs of the various subsamples collected in 2001 and 2003. It discusses the representativeness of the data, explains the construction of weights, and provides probit regressions to analyze potential selectivity problems. The paper finishes by discussing implications for the use of the SAVE data in various estimation procedures.

Suggested Citation

  • 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.
    • Handle: RePEc:mea:meawpa:05080
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    File URL: http://mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/q5b10c8f5ha2k0no_80-2005.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. F. Thomas Juster & James P. Smith, 2004. "Improving the Quality of Economic Data: Lessons from the HRS and AHEAD," Labor and Demography 0402010, University Library of Munich, Germany.
    3. Winter, Joachim, 0000. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Sonderforschungsbereich 504 Publications 02-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Rodepeter, Ralf & Winter, Joachim, 1999. "Rules of thumb in life-cycle savings models," Sonderforschungsbereich 504 Publications 99-81, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    6. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(2), pages 451-470, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Schunk, Daniel, 2007. "What determines the saving behavior of German households? : an examination of saving motives and saving decisions," Papers 07-10, Sonderforschungsbreich 504.
    2. 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.
    3. 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.
    4. Essig, Lothar, 2004. "Precautionary saving and old-age provisions: Do subjective saving motives measures work?," Sonderforschungsbereich 504 Publications 05-22, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    5. Essig, Lothar, 2005. "Household saving in Germany : results from SAVE 2001 - 2003," Papers 05-23, Sonderforschungsbreich 504.
    6. Lothar Essig, 2005. "Precautionary saving and old-age provisions: Do subjective saving motive measures work?," MEA discussion paper series 05084, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    7. Essig, Lothar, 2005. "Measures for savings and saving rates in the German SAVE data set," Papers 05-20, Sonderforschungsbreich 504.
    8. Essig, Lothar, 2005. "Precautionary saving and old-age provisions : do subjective saving motives measures work?," Papers 05-22, Sonderforschungsbreich 504.
    9. Lothar Essig, 2005. "Measures for savings and saving rates in the German SAVE data set," MEA discussion paper series 05086, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    10. Schunk Daniel, 2009. "What Determines Household Saving Behavior: An Examination of Saving Motives and Saving Decisions 06.01.2009," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(4), pages 467-491, August.

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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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