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Population aggregates from administrative data samples – how good are they?

Author

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  • Vom Berge, Philipp

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"Researchers regularly use administrative micro-data samples to approximate subgroup aggregates from the full population. In this paper, I argue that the most commonly used method to do this is often not optimal. I outline some alternatives and compare their relative performance in selected cases. I also discuss the efect of statistical disclosure control on the aggregated data and how researchers can reduce bias resulting from censoring." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))

Suggested Citation

  • Vom Berge, Philipp, 2023. "Population aggregates from administrative data samples – how good are they?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-5.
    • Handle: RePEc:iab:iabjlr:v:57:p:art.05
    DOI: 10.1186/s12651-023-00334-x
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    Keywords

    Bundesrepublik Deutschland ; Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB) ; IAB-Open-Access-Publikation ; Auswirkungen ; Datenqualität ; IAB-Betriebs-Historik-Panel ; Aggregation ; Stichprobe ; Stichprobenfehler ; Arbeitsmarktforschung;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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