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Journal of Official Statistics

The Journal of Statistics Sweden

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IMPACT FACTOR 2016: 0.411
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CiteScore 2016: 0.63

SCImago Journal Rank (SJR) 2016: 0.710
Source Normalized Impact per Paper (SNIP) 2016: 0.975

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Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ

Giles Reid / Felipa Zabala / Anders Holmberg
Published Online: 2017-06-12 | DOI: https://doi.org/10.1515/jos-2017-0023


Many national statistics offices acknowledge that making better use of existing administrative data can reduce the cost of meeting ongoing statistical needs. Stats NZ has developed a framework to help facilitate this reuse. The framework is an adapted Total Survey Error (TSE) paradigm for understanding how the strengths and limitations of different data sets flow through a statistical design to affect final output quality. Our framework includes three phases: 1) a single source assessment, 2) an integrated data set assessment, and 3) an estimation and output assessment. We developed a process and guidelines for applying this conceptual framework to practical decisions about statistical design, and used these in recent redevelopment projects. We discuss how we used the framework with data sources that have a non-statistical primary purpose, and how it has helped us spread total survey error ideas to non-methodologists.

Keywords: Total survey error; multiple data sources; official statistics; survey design

18. References

About the article

Received: 2016-01-01

Revised: 2017-03-01

Accepted: 2017-03-01

Published Online: 2017-06-12

Published in Print: 2017-06-01

Citation Information: Journal of Official Statistics, Volume 33, Issue 2, Pages 477–511, ISSN (Online) 2001-7367, DOI: https://doi.org/10.1515/jos-2017-0023.

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© 2017 Giles Reid et al., published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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