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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.
Originalsprache | Englisch |
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Seiten (von - bis) | 231 - 247 |
Fachzeitschrift | Journal of Official Statistics |
Jahrgang | 31 |
Ausgabenummer | 2 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2015 |
Projekte
- 1 Abgeschlossen
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Fehlerrechnung in der Registerzählung
Cetkovic, P. (Forscher*in), Humer, S. (Forscher*in), Moser, M. (Forscher*in) & Schnetzer, M. (Forscher*in)
1/07/11 → 30/06/14
Projekt: Forschungsförderung