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Combining Data from Surveys and Administrative Record Systems. The Norwegian Experience

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  • Ib Thomsen
  • Ann Marit Kleive Holmøy

Abstract

At Statistics Norway administrative data have been extensively used in order to improve the quality of survey data. Various techniques have been used to reduce sampling variance and/or to reduce the effects of non‐response. In the present article some of the most commonly used methods are being presented, and based on empirical rather than theoretical evaluations, we give our conclusions concerning their potentials and limitations. Le Bureau Central de Statistique se sert abondamment d'informations administratives afin d'améliorer la qualité de ses enqueê. Diverses techniques ont été utilisées pour les écarts entre les échantillons et/ou réduire les effets de l'absence de résent article examine quelques‐unes des méthodes les plus couramment utilisées et, sur la base d'évaluations empiriques plutô que théoriques, liver nos conclusions sur les possibilité et les limites de ces méthodes.

Suggested Citation

  • Ib Thomsen & Ann Marit Kleive Holmøy, 1998. "Combining Data from Surveys and Administrative Record Systems. The Norwegian Experience," International Statistical Review, International Statistical Institute, vol. 66(2), pages 201-221, August.
  • Handle: RePEc:bla:istatr:v:66:y:1998:i:2:p:201-221
    DOI: 10.1111/j.1751-5823.1998.tb00414.x
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    1. repec:csb:stintr:v:17:y:2016:i:1:p:105-132 is not listed on IDEAS
    2. Kordos Jan, 2016. "Development of Small Area Estimation in Official Statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 17(1), pages 105-132, March.
    3. Ib Thomsen & Li-Chun Zhang, 2000. "The Effect of Using Administrative Registers in Economic Short Term Statistics: The Norwegian Labour Force Survey as a Case Study," Discussion Papers 273, Statistics Norway, Research Department.
    4. Löffler, Max & Peichl, Andreas & Wittneben, Christian & Woodage, Carina, 2015. "Möglichkeiten zur Verbesserung der statistischen Datengrundlage zur Beschreibung höchster Einkommen und Vermögen: Abschlussbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, volume 58, number 123309, September.
    5. Jan Kordos, 2016. "Development Of Smallarea Estimation In Official Statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 17(1), pages 105-132, March.
    6. Ib Thomsen & Li-Chun Zhang & Joseph Sexton, 2000. "Markov Chain Generated Profile Likelihood Inference under Generalized Proportional to Size Non-ignorable Non-response," Discussion Papers 274, Statistics Norway, Research Department.

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