A Quality Framework for Statistics based on Administrative Data Sources using the Example of the Austrian Census 2011

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

A Quality Framework for Statistics based on Administrative Data Sources using the Example of the Austrian Census 2011

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

Department of Economics (Crespo Cuaresma)

Publication: Scientific journal › Journal article › peer-review

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Abstract

Along with the implementation of a register-based census we develop a methodological framework to assess administrative data sources for statistical use. Key aspects for the quality of these data are identified in the context of hyperdimensions and embedded into a process flow. Based on this approach we develop a structural quality framework and suggest a concept for quality assessment and several quality measures.

Original language	English
Pages (from-to)	299 - 308
Journal	Austrian Journal of Statistics
Volume	39
Issue number	4
Publication status	Published - 2010

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104BerkaFinal published version, 442 KBLicence: CC BY

http://www.stat.tugraz.at/AJS/ausg104/104Berka.pdfLicence: Unspecified

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University Library Catalogue

Error Estimation for the register-based Census
Cetkovic, P. (Researcher), Humer, S. (Researcher), Moser, M. (Researcher) & Schnetzer, M. (Researcher)
1/07/11 → 30/06/14
Project: Research funding

Cite this

@article{08a24c8d4e1244308d9e115d2e59dbc8,

title = "A Quality Framework for Statistics based on Administrative Data Sources using the Example of the Austrian Census 2011",

abstract = "Along with the implementation of a register-based census we develop a methodological framework to assess administrative data sources for statistical use. Key aspects for the quality of these data are identified in the context of hyperdimensions and embedded into a process flow. Based on this approach we develop a structural quality framework and suggest a concept for quality assessment and several quality measures.",

author = "Christopher Berka and Stefan Humer and Mathias Moser and Manuela Lenk and Eliane Schwerer and Henrik Rechta",

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AU - Humer, Stefan

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AU - Lenk, Manuela

AU - Schwerer, Eliane

AU - Rechta, Henrik

PY - 2010

Y1 - 2010

N2 - Along with the implementation of a register-based census we develop a methodological framework to assess administrative data sources for statistical use. Key aspects for the quality of these data are identified in the context of hyperdimensions and embedded into a process flow. Based on this approach we develop a structural quality framework and suggest a concept for quality assessment and several quality measures.

AB - Along with the implementation of a register-based census we develop a methodological framework to assess administrative data sources for statistical use. Key aspects for the quality of these data are identified in the context of hyperdimensions and embedded into a process flow. Based on this approach we develop a structural quality framework and suggest a concept for quality assessment and several quality measures.

M3 - Journal article

SN - 1026-597X

VL - 39

SP - 299

EP - 308

JO - Austrian Journal of Statistics

JF - Austrian Journal of Statistics

IS - 4

ER -

A Quality Framework for Statistics based on Administrative Data Sources using the Example of the Austrian Census 2011

Abstract

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Projects

Error Estimation for the register-based Census

Cite this