Quotation Schnetzer, Matthias, Astleithner, Franz, Cetkovic, Predrag, Humer, Stefan, Moser, Mathias, Lenk, Manuela. 2015. Quality Assessment of Imputations in Administrative Data. Journal of Official Statistics, 31 (2), 231-247.




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.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Official Statistics
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title Quality Assessment of Imputations in Administrative Data
Volume 31
Number 2
Year 2015
Page from 231
Page to 247
Reviewed? Y
URL http://dx.doi.org/10.1515/jos-2015-0015
DOI http://dx.doi.org/10.1515/jos-2015-0015


Error Estimation for the register-based Census
Schnetzer, Matthias (Details)
Astleithner, Franz (Former researcher)
Cetkovic, Predrag (Former researcher)
Humer, Stefan (Former researcher)
Moser, Mathias (Details)
Lenk, Manuela (Statistik Austria, Austria)
Department of Economics (Crespo Cuaresma) (Details)
Institute for Economic Geography and GIScience IN (Details)
Economics of Inequality FI (Details)
Google Scholar: Search