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Methodological aspects of the SAVE data set

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  • Lothar Essig

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

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    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.

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    File URL: http://mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/q5b10c8f5ha2k0no_80-2005.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 05080.

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    Date of creation: 21 Jun 2005
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    Handle: RePEc:mea:meawpa:05080

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    References

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    1. Essig, Lothar & Winter, Joachim, 2003. "Item nonresponse to financial questions in household surveys: An experimental study of interviewer and mode effects," Sonderforschungsbereich 504 Publications 05-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. F. Thomas Juster & James P. Smith, 2004. "Improving the Quality of Economic Data: Lessons from the HRS and AHEAD," Labor and Demography 0402010, EconWPA.
    3. Ralf Rodepeter & Joachim K. Winter, 2000. "Rules of Thumb in Life-Cycle Savings Models," Econometric Society World Congress 2000 Contributed Papers 1222, Econometric Society.
    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. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(02), pages 451-470, April.
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    Cited by:
    1. Daniel Schunk, 2009. "What Determines Household Saving Behavior? An Examination of Saving Motives and Saving Decisions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 229(4), pages 467-491, August.
    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. 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.
    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. 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.

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