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 -