Quality Assessment of Imputations in Administrative Data

Matthias Schnetzer; Franz Astleithner; Predrag Cetkovic; Stefan Humer; Manuela Lenk; Mathias Moser

doi:10.1515/jos-2015-0015

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Quality Assessment of Imputations in Administrative Data

Journal of Official Statistics

Volume 31 (2015): Issue 2 (June 2015)

By: Matthias Schnetzer, Franz Astleithner, Predrag Cetkovic, Stefan Humer, Manuela Lenk and Mathias Moser

Open Access

|Jun 2015

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.

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Articles in this issue

DOI: https://doi.org/10.1515/jos-2015-0015 | Journal eISSN: 2001-7367

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Language: English

Page range: 231 - 247

Submitted on: Jul 1, 2013

Accepted on: May 1, 2014

Published on: Jun 27, 2015

Published by: Sciendo

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

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Probability and statistics

© 2015 Matthias Schnetzer, Franz Astleithner, Predrag Cetkovic, Stefan Humer, Manuela Lenk, Mathias Moser, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 31 (2015): Issue 2 (June 2015)