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Mode and Context Effects of Measuring Household Assets

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  • van Soest, A.H.O.

    (Tilburg University, School of Economics and Management)

  • Kapteyn, A.

    (Tilburg University, School of Economics and Management)

Abstract

Differences in answers in Internet and traditional surveys can be due to selection, mode, or context effects. We exploit unique experimental data to analyze mode and context effects controlling for arbitrary selection. The Health and Retirement Study (HRS) surveys a random sample of the US 50+ population, with CAPI or CATI core interviews once every two years. In 2003 and 2005, random samples were drawn from HRS respondents in 2002 and 2004 willing and able to participate in an Internet interview. Comparing core and Internet survey answers of the same people, we analyze mode and context effects, controlling for selection. We focus on household assets, for which mode effects in Internet surveys have rarely been studied. We find some large differences between the first Internet survey and the other three surveys which we interpret as a context and question wording effect rather than a pure mode effect.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • van Soest, A.H.O. & Kapteyn, A., 2009. "Mode and Context Effects of Measuring Household Assets," Other publications TiSEM e01ebd42-2ed0-4f2c-b408-b, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:e01ebd42-2ed0-4f2c-b408-bced6c9ed7d9
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    References listed on IDEAS

    as
    1. Matthias Schonlau & Arthur van Soest & Arie Kapteyn & Mick Couper, 2009. "Selection Bias in Web Surveys and the Use of Propensity Scores," Sociological Methods & Research, , vol. 37(3), pages 291-318, February.
    2. Guiso, Luigi & Jappelli, Tullio, 2000. "Household Portfolios in Italy," CEPR Discussion Papers 2549, C.E.P.R. Discussion Papers.
    3. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank & Silva, Carol & Weimer, David L., 2003. "The Advent of Internet Surveys for Political Research: A Comparison of Telephone and Internet Samples," Political Analysis, Cambridge University Press, vol. 11(1), pages 1-22, January.
    4. 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.
    5. Couper, Mick P. & Kapteyn, Arie & Schonlau, Matthias & Winter, Joachim, 2007. "Noncoverage and nonresponse in an Internet survey," Munich Reprints in Economics 20093, University of Munich, Department of Economics.
    6. Matthias Schonlau & Arthur van Soest & Arie Kapteyn & Mick Couper, 2009. "Selection Bias in Web Surveys and the Use of Propensity Scores," Sociological Methods & Research, , vol. 37(3), pages 291-318, February.
    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Geary Working Paper: Van Soest and Kapteyn on Mode and Context Effects
      by Liam Delaney in Geary Behaviour Centre on 2009-12-22 06:37:00

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    More about this item

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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