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An assessment of accuracy improvement by adaptive survey design: [Une évaluation de l’amélioration de l’exactitude au moyen d’un plan de sondage adaptatif]
Statistics Sweden, Örebro, Sweden.
Statistics Sweden, Stockholm, Sweden.
2019 (English)In: Survey Methodology, ISSN 0714-0045, E-ISSN 1492-0921, Vol. 45, no 2, p. 339-360Article in journal (Refereed) Published
Abstract [en]

High nonresponse occurs in many sample surveys today, including important surveys carried out by government statistical agencies. An adaptive data collection can be advantageous in those conditions: Lower nonresponse bias in survey estimates can be gained, up to a point, by producing a well-balanced set of respondents. Auxiliary variables serve a twofold purpose: Used in the estimation phase, through calibrated adjustment weighting, they reduce, but do not entirely remove, the bias. In the preceding adaptive data collection phase, auxiliary variables also play a major role: They are instrumental in reducing the imbalance in the ultimate set of respondents. For such combined use of auxiliary variables, the deviation of the calibrated estimate from the unbiased estimate (under full response) is studied in the article. We show that this deviation is a sum of two components. The reducible component can be decreased through adaptive data collection, all the way to zero if perfectly balanced response is realized with respect to a chosen auxiliary vector. By contrast, the resisting component changes little or not at all by a better balanced response; it represents a part of the deviation that adaptive design does not get rid of. The relative size of the former component is an indicator of the potential payoff from an adaptive survey design.

Place, publisher, year, edition, pages
Statistics Canada , 2019. Vol. 45, no 2, p. 339-360
Keywords [en]
Nonresponse, Adaptive survey design, Response imbalance, Bias reduction
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-76312ISI: 000473107900007Scopus ID: 2-s2.0-85068870635OAI: oai:DiVA.org:oru-76312DiVA, id: diva2:1350973
Available from: 2019-09-12 Created: 2019-09-12 Last updated: 2019-11-15Bibliographically approved

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Lundquist, Peter

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf