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Item nonresponse to financial questions in household surveys: An experimental study of interviewer and mode effects

  • Essig, Lothar

    ()

    (Mannheim Research Institute for the Economics of Aging (MEA) and Sonderforschungsbereich 504)

  • Winter, Joachim

    ()

    (Mannheim Research Institute for the Economics of Aging (MEA))

We analyze nonresponse to questions on financial items such as income and asset holdings in the SAVE survey, exploiting a controlled field experiment. As part of the SAVE study, a representative survey conducted in Germany in 2001, questions on household income and financial assets were administered using different interview modes (personal interview vs. drop-off questionnaire). The data also allow investigating the influence of interviewer characteristics on nonresponse. Our results are in line with predictions derived from models of survey response behavior that have been developed in survey research and social psychology.

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Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 05-18.

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Length: 34 pages
Date of creation: 26 Sep 2003
Date of revision:
Handle: RePEc:xrs:sfbmaa:05-18
Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
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  1. Axel Borsch-Supan & Lothar Essig, 2003. "Household Saving in Germany: Results of the first SAVE study," NBER Working Papers 9902, National Bureau of Economic Research, Inc.
  2. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
  3. Riphahn, Regina T. & Serfling, Oliver, 2002. "Item Non-Response on Income and Wealth Questions," IZA Discussion Papers 573, Institute for the Study of Labor (IZA).
  4. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
  5. F. Thomas Juster & James P. Smith, 2004. "Improving the Quality of Economic Data: Lessons from the HRS and AHEAD," Labor and Demography 0402010, EconWPA.
  6. Philipson, Tomas, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Wiley Blackwell, vol. 64(1), pages 47-72, January.
  7. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
  8. Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August.
  9. 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.
  10. Michael D. Hurd & Daniel McFadden & Harish Chand & Li Gan & Angela Menill & Michael Roberts, 1998. "Consumption and Savings Balances of the Elderly: Experimental Evidence on Survey Response Bias," NBER Chapters, in: Frontiers in the Economics of Aging, pages 353-392 National Bureau of Economic Research, Inc.
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