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General framework for the rotation of units in repeated survey sampling

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  • Desislava Nedyalkova
  • Lionel Qualité
  • Yves Tillé

Abstract

Coordination of probabilistic samples is a challenging theoretical problem faced by statistical institutes. One of their aims is to obtain good estimates for each wave while spreading the response burden across the entire population. There is a collection of existing solutions that try to attend to these needs. These solutions, which were developed independently, are integrated in a general framework and their corresponding longitudinal designs are computed. The properties of these longitudinal designs are discussed. It is also noted that there is an antagonism between a good rotation and control over the cross‐sectional sampling design. A compromise needs to be reached between the quality of the sample coordination, which appears to be optimal for a systematic longitudinal sampling design, and the freedom of choice of the cross‐sectional design. In order to reach such a compromise, an algorithm that uses a new method of longitudinal sampling is proposed.

Suggested Citation

  • Desislava Nedyalkova & Lionel Qualité & Yves Tillé, 2009. "General framework for the rotation of units in repeated survey sampling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 269-293, August.
    • Handle: RePEc:bla:stanee:v:63:y:2009:i:3:p:269-293
    DOI: 10.1111/j.1467-9574.2009.00423.x
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    References listed on IDEAS

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    1. Jean-Claude Deville & Yves Tille, 2004. "Efficient balanced sampling: The cube method," Biometrika, Biometrika Trust, vol. 91(4), pages 893-912, December.
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    Cited by:

    1. Chauvet, Guillaume & Ruiz-Gazen, Anne, 2017. "A comparison of pivotal sampling and unequal probability sampling with replacement," Statistics & Probability Letters, Elsevier, vol. 121(C), pages 1-5.

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