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. (authors' abstract)
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:4667 |
| Date | 06 1900 |
| Creators | Schnetzer, Matthias, Astleithner, Franz, Cetkovic, Predrag, Humer, Stefan, Lenk, Manuela, Moser, Mathias |
| Publisher | De Gruyter |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Rights | Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0 Austria |
| Relation | http://dx.doi.org/10.1515/JOS-2015-0015, http://www.degruyter.com/, http://epub.wu.ac.at/4667/ |
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