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A Multivariate Regression Estimator of Levels and Change for Surveys Over Time

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  • Konrad Anne

    (1 Leibniz Institute for Educational Trajectories, Survey Statistical Mathods, 96047 Bamberg, Germany)

  • Berger Yves

    (2 University of Southampton, Social Statistics, SO17 1BJ, Southampton, UK)

Abstract

Rotations are often used for panel surveys, where the observations remain in the sample for a predefined number of periods and then rotate out. The information of previous waves can be exploited to improve current estimates. We propose a multivariate regression estimator which captures all information available from both waves. By adding additional auxiliary variables describing the information of the rotational design, the proposed estimator captures the sample correlation between waves. It can be used for the estimation of levels and changes.

Suggested Citation

  • Konrad Anne & Berger Yves, 2023. "A Multivariate Regression Estimator of Levels and Change for Surveys Over Time," Journal of Official Statistics, Sciendo, vol. 39(1), pages 27-44, March.
    • Handle: RePEc:vrs:offsta:v:39:y:2023:i:1:p:27-44:n:4
    DOI: 10.2478/jos-2023-0002
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    References listed on IDEAS

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    1. Daniel Bonnéry & Yang Cheng & Partha Lahiri, 2020. "An evaluation of design-based properties of different composite estimators," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 166-190, August.
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