<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Quality Assessment of Imputations in Administrative Data

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

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

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

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

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Quality Assessment of Imputations in Administrative Data"}

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 Assessment of Imputations in Administrative Data

Online veröffentlicht: 27. Juni 2015

Seitenbereich: 231 - 247

Eingereicht: 01. Juli 2013

Akzeptiert: 01. Mai 2014

DOI: https://doi.org/10.1515/jos-2015-0015

Schlüsselwörter
Administrative data, register-based statistics, quality assessment, imputations.

© by Matthias Schnetzer

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Quality Assessment of Imputations in Administrative Data

Online veröffentlicht: 27. Juni 2015

Seitenbereich: 231 - 247

Eingereicht: 01. Juli 2013

Akzeptiert: 01. Mai 2014

DOI: https://doi.org/10.1515/jos-2015-0015

SchlüsselwörterAdministrative data, register-based statistics, quality assessment, imputations.

© by Matthias Schnetzer

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Administrative data, register-based statistics, quality assessment, imputations.