Quality Assessment of Imputations in Administrative Data

• Schnetzer, Matthias ^[2] ; Astleithner, Franz ^[1] ; Cetkovic, Predrag ^[1] ; Humer, Stefan ^[1] ; Lenk, Manuela ^[3] ; Moser, Mathias ^[1]
  1. [1] Vienna University of Economics and Business

     Vienna University of Economics and Business

     Innere Stadt, Austria

     
  2. [2] Chamber of Labour Vienna, Austria
  3. [3] Statistics Austria

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• Localización: Journal of official statistics, ISSN 0282-423X, Vol. 31, Nº. 2, 2015, págs. 231-247
• Idioma: inglés
• DOI: 10.1515/jos-2015-0015
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• Resumen

  • 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.