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Small area estimation to quantify discontinuities in repeated sample surveys

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  • Jan A. Brakel
  • Bart Buelens
  • Harm-Jan Boonstra

Abstract

type="main" xml:id="rssa12110-abs-0001"> During redesigns of repeated surveys, the old and new approaches are often conducted in parallel to quantify discontinuities that are initiated by modifications in the survey process. For budget limitations, the sample size allocated to the alternative approach is often considerably smaller compared with the regular survey that is used for official publication. In this paper, small area estimation techniques are considered to improve the accuracy of domain estimates obtained under the alternative approach. Besides auxiliary information that is available from administrations, direct domain estimates available from the regular survey are useful auxiliary variables to construct model-based small area estimators. These methods are applied to a redesign of the Dutch Crime Victimization Survey.

Suggested Citation

  • Jan A. Brakel & Bart Buelens & Harm-Jan Boonstra, 2016. "Small area estimation to quantify discontinuities in repeated sample surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 229-250, January.
    • Handle: RePEc:bla:jorssa:v:179:y:2016:i:1:p:229-250
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    File URL: http://hdl.handle.net/10.1111/rssa.2016.179.issue-1
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    Cited by:

    1. Jan van den Brakel & Xichuan (Mark) Zhang & Siu‐Ming Tam, 2020. "Measuring Discontinuities in Time Series Obtained with Repeated Sample Surveys," International Statistical Review, International Statistical Institute, vol. 88(1), pages 155-175, April.

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