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Quality Assessment of Imputations in Administrative Data

Author

Listed:
  • Schnetzer Matthias

    (Chamber of Labour Vienna – Department of Economics, Prinz-Eugen Str. 20–22, 1040, Vienna, Austria)

  • Astleithner Franz

    (Vienna University of Economics, Welthandelsplatz 1, 1020, Vienna, Austria.)

  • Cetkovic Predrag

    (Vienna University of Economics, Welthandelsplatz 1, 1020, Vienna, Austria.)

  • Humer Stefan

    (Vienna University of Economics, Welthandelsplatz 1, 1020, Vienna, Austria.)

  • Lenk Manuela

    (Statistics Austria, Unit Register-based census, Guglgasse 13, A-1110, Vienna, Austria)

  • Moser Mathias

    (Vienna University of Economics, Welthandelsplatz 1, 1020, Vienna, Austria)

Abstract

This article contributes a framework for the quality assessment of imputations within a broader structure to evaluate the quality of register-based data. Four quality-related hyperdimensions examine the data processing from the raw-data level to the final statistics. Our focus lies on the quality assessment of different imputation steps and their influence on overall data quality. We suggest classification rates as a measure of accuracy of imputation and derive several computational approaches.

Suggested Citation

  • Schnetzer Matthias & Astleithner Franz & Cetkovic Predrag & Humer Stefan & Lenk Manuela & Moser Mathias, 2015. "Quality Assessment of Imputations in Administrative Data," Journal of Official Statistics, Sciendo, vol. 31(2), pages 231-247, June.
    • Handle: RePEc:vrs:offsta:v:31:y:2015:i:2:p:231-247:n:5
    DOI: 10.1515/jos-2015-0015
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