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Combination of evidence from multiple administrative data sources: quality assessment of the Austrian register‐based Census 2011

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  • Christopher Berka
  • Stefan Humer
  • Mathias Moser
  • Manuela Lenk
  • Henrik Rechta
  • Eliane Schwerer

Abstract

This article investigates the quality of register data in the context of a standardized quality framework. The special focus of this work lies on the assessment of census data and how to deal with uncertainty that arises from multiple sources (registers). To take the uncertainty associated with support and conflict between several registers into account, Dempster–Shafer's theory of evidence is applied. This ‘fuzzy’ approach allows us to investigate the quality of databases with multiple underlying sources for a single attribute and to provide both quality measures and plausibility intervals.

Suggested Citation

  • Christopher Berka & Stefan Humer & Mathias Moser & Manuela Lenk & Henrik Rechta & Eliane Schwerer, 2012. "Combination of evidence from multiple administrative data sources: quality assessment of the Austrian register‐based Census 2011," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(1), pages 18-33, February.
    • Handle: RePEc:bla:stanee:v:66:y:2012:i:1:p:18-33
    DOI: 10.1111/j.1467-9574.2011.00506.x
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    Cited by:

    1. David J. Hand, 2018. "Statistical challenges of administrative and transaction data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 555-605, June.
    2. Gołata Elżbieta, 2016. "Shift in Methodology and Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.
    3. Elżbieta Gołata, 2016. "Shift In Methodology And Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.

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