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Machine Learning in der amtlichen Statistik – Ergebnisse und Bewertung eines internationalen Projekts

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  • Dumpert, Florian

Abstract

Die High-Level-Group for the Modernization of Official Statistics der Wirtschaftskommission der Vereinten Nationen für Europa hatte für die Jahre 2019 und 2020 ein Machine-Learning-Projekt initiiert. Das Projekt ermöglichte die Durchführung von Pilotstudien, um den Mehrwert maschinellen Lernens in der amtlichen Statistik zu zeigen, sowie Arbeiten an einem Qualitätsrahmenwerk. Die Potenziale von maschinellem Lernen wurden dabei ebenso deutlich wie die Fallstricke und Hindernisse für dessen Einführung. Der Aufsatz beleuchtet die verschiedenen Arbeitsgebiete des Projekts und ordnet die Ergebnisse für die deutsche amtliche Statistik ein.

Suggested Citation

  • Dumpert, Florian, 2021. "Machine Learning in der amtlichen Statistik – Ergebnisse und Bewertung eines internationalen Projekts," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 73(4), pages 53-63.
    • Handle: RePEc:zbw:wistat:237400
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