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Methodological aspects of the SAVE data set

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  • Essig, Lothar

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 analyse potential selectivity problems. The paper finishes by discussing implications for the use of the SAVE data in various estimation procedures.

Suggested Citation

  • Essig, Lothar, 2005. "Methodological aspects of the SAVE data set," Papers 05-17, Sonderforschungsbreich 504.
    • Handle: RePEc:mnh:spaper:2659
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    File URL: https://madoc.bib.uni-mannheim.de/2659/1/dp05_17.pdf
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    References listed on IDEAS

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    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. Arthur van Soest & Michael Hurd, 2004. "Models for Anchoring and Acquiescence Bias in Consumption Data," NBER Working Papers 10461, National Bureau of Economic Research, Inc.
    3. Arthur van Soest & Michael Hurd, 2004. "Models for Anchoring and Acquiescence Bias in Consumption Data," NBER Working Papers 10461, National Bureau of Economic Research, Inc.
    4. 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.
    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. F. Thomas Juster & Joseph P. Lupton & Honggao Cao, 2002. "Ensuring Time-Series Consistency in Estimates of Income and Wealth," Working Papers wp030, University of Michigan, Michigan Retirement Research Center.
    7. Michael Hurd & F. Thomas Juster & James P. Smith, 2003. "Enhancing the Quality of Data on Income: Recent Innovations from the HRS," Journal of Human Resources, University of Wisconsin Press, vol. 38(3).
    8. Essig, Lothar, 2004. "Household Saving in Germany:," Sonderforschungsbereich 504 Publications 05-23, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
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    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. 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, 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.
    4. 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.
    5. Essig, Lothar, 2005. "Measures for savings and saving rates in the German SAVE data set," Papers 05-20, Sonderforschungsbreich 504.
    6. Lothar Essig, 2005. "Household Saving in Germany: Results from SAVE 2001-2003," MEA discussion paper series 05083, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    7. Essig, Lothar, 2005. "Precautionary saving and old-age provisions : do subjective saving motives measures work?," Papers 05-22, Sonderforschungsbreich 504.
    8. 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.
    9. Essig, Lothar, 2005. "Household saving in Germany : results from SAVE 2001 - 2003," Papers 05-23, Sonderforschungsbreich 504.
    10. 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.
    11. 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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    More about this item

    Keywords

    household surveys ; response behavior;

    JEL classification:

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

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