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Robustness of Adaptive Survey Designs to Inaccuracy of Design Parameters

Author

Listed:
  • Burger Joep

    (Statistics Netherlands, Department of Process Development and Methodology, CBS-weg 11, P.O. Box 4481, 6401 CZ Heerlen, The Netherlands.)

  • Perryck Koen

    (Statistics Netherlands, Department of Process Development and Methodology, The Hague, The Netherlands.)

  • Schouten Barry

    (Statistics Netherlands, Department of Process Development and Methodology, The Hague, The Netherlands.)

Abstract

Adaptive survey designs (ASDs) optimize design features, given 1) the interactions between the design features and characteristics of sampling units and 2) a set of constraints, such as a budget and a minimum number of respondents. Estimation of the interactions is subject to both random and systematic error. In this article, we propose and evaluate four viewpoints to assess robustness of ASDs to inaccuracy of design parameter estimates: the effect of both imprecision and bias on both ASD structure and ASD performance. We additionally propose three distance measures to compare the structure of ASDs. The methodology is illustrated using a simple simulation study and a more complex but realistic case study on the Dutch Travel Survey. The proposed methodology can be applied to other ASD optimization problems. In our simulation study and case study, the ASD was fairly robust to imprecision, but not to realistic dynamics in the design parameters. To deal with the sensitivity of ASDs to changing design parameters, we recommend to learn and update the design parameters.

Suggested Citation

  • Burger Joep & Perryck Koen & Schouten Barry, 2017. "Robustness of Adaptive Survey Designs to Inaccuracy of Design Parameters," Journal of Official Statistics, Sciendo, vol. 33(3), pages 687-708, September.
    • Handle: RePEc:vrs:offsta:v:33:y:2017:i:3:p:687-708:n:6
    DOI: 10.1515/jos-2017-0032
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    References listed on IDEAS

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    1. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
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    3. Calinescu, Melania & Bhulai, Sandjai & Schouten, Barry, 2013. "Optimal resource allocation in survey designs," European Journal of Operational Research, Elsevier, vol. 226(1), pages 115-121.
    4. Barry Schouten & Fannie Cobben & Peter Lundquist & James Wagner, 2016. "Does more balanced survey response imply less non-response bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 727-748, June.
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