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Indirect Sampling: A Review of Theory and Recent Applications

Author

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  • Hans Kiesl

    (OTH Regensburg)

Abstract

Survey practitioners regularly face the task to draw a sample from a (sub-) population for which no sampling frame exists. Indirect sampling might be a way out in such situations, given that connections exist between the target population and another population for which probability sampling is feasible. While the theory of indirect sampling originated in the context of household panel studies, a wider area of applications emerged during the last decade. We first give a short review of the theory of indirect sampling, show that estimators from indirect samples might have smaller variance than the corresponding direct estimators (contrary to some claims in the literature), summarize recent applications and discuss some issues that are relevant for applying indirect sampling in practice. We also present some theory for unbiased estimation after an additional subsampling stage that was necessary for sampling kindergarten children in the German National Educational Panel Study (NEPS).

Suggested Citation

  • Hans Kiesl, 2016. "Indirect Sampling: A Review of Theory and Recent Applications," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(4), pages 289-303, December.
    • Handle: RePEc:spr:astaws:v:10:y:2016:i:4:d:10.1007_s11943-016-0183-3
    DOI: 10.1007/s11943-016-0183-3
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    References listed on IDEAS

    as
    1. Martin Spiess & Ulrich Rendtel, 2000. "Combining an Ongoing Panel with a New Cross-Sectional Sample," Discussion Papers of DIW Berlin 198, DIW Berlin, German Institute for Economic Research.
    2. Hans Walter Steinhauer & Christian Aßmann & Sabine Zinn & Solange Goßmann & Susanne Rässler, 2015. "Sampling and Weighting Cohort Samples in Institutional Contexts," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(2), pages 131-157, November.
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    Cited by:

    1. Ralf Thomas Münnich, 2016. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(4), pages 197-203, December.
    2. Medous, Estelle & Goga, Camelia & Ruiz-Gazen, Anne & Beaumont, Jean-François & Puech, Pauline & Dessertaine, Alain, 2021. "Many-to-One indirect sampling with application to the French postal traffic estimation," TSE Working Papers 21-1269, Toulouse School of Economics (TSE), revised Jun 2022.

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    More about this item

    Keywords

    Educational survey; Sampling theory; Indirect sampling;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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