TY  - JOUR
TI  - Quality Assessment of Imputations in Administrative Data
AB  - 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.
DO  - http://dx.doi.org/10.1515/jos-2015-0015
SP  - 231
EP  - 247
UR  - http://dx.doi.org/10.1515/jos-2015-0015
PY  - 2015-01-01
JO  - Journal of Official Statistics
AU  - Schnetzer, Matthias 
AU  - Astleithner, Franz 
AU  - Cetkovic, Predrag 
AU  - Humer, Stefan 
AU  - Moser, Mathias 
AU  - Lenk, Manuela 
ER -