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

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Author Info
Lothar Essig ()
Joachim Winter (Mannheim Research Institute for the Economics of Aging (MEA))

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Abstract

We analyze nonresponse to questions on financial items such as income and asset holdings in household surveys using data from 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 modes (personal interview vs. drop-off questionnaire). The data also allow to investigate 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 Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim in its series MEA discussion paper series with number 03039.

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Date of creation: 17 Nov 2003
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Handle: RePEc:mea:meawpa:03039

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Postal: MEA - Mannheimer Forschungsinstitut Ökonomie und Demographischer Wandel, L13, 17, University of Mannheim, 68131 Mannheim
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Find related papers by JEL classification:
C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. 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. [Downloadable!]
  2. 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. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
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  4. Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
  6. 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. [Downloadable!] (restricted)
  7. 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). [Downloadable!]
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  8. repec:att:wimass:199525 is not listed on IDEAS
  9. Philipson, Tomas, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Blackwell Publishing, vol. 64(1), pages 47-72, January. [Downloadable!] (restricted)
  10. F. Thomas Juster & James P. Smith, 2004. "Improving the Quality of Economic Data: Lessons from the HRS and AHEAD," Labor and Demography 0402010, EconWPA. [Downloadable!]
  11. 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. [Downloadable!]
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Essig, Lothar, 2004. "Methodological aspects of the SAVE data set," Sonderforschungsbereich 504 Publications 05-17, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  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. [Downloadable!] (restricted)
  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, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
  4. Daniel Schunk, 2006. "The German SAVE Survey: Documentation and Methodology," MEA discussion paper series 06109, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
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  5. Lothar Essig, 2005. "Methodological aspects of the SAVE data set," MEA discussion paper series 05080, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
  6. Lothar Essig, 2005. "Methodological aspects of the SAVE data set," MEA discussion paper series 05080, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
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