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 für Volkswirtschaft (Crespo Cuaresma)

Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

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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.

Originalsprache	Englisch
Seiten (von - bis)	299 - 308
Fachzeitschrift	Austrian Journal of Statistics
Volume	39
Ausgabenummer	4
Publikationsstatus	Veröffentlicht - 2010

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104BerkaEndgültige, publizierte Fassung, 442 KBLizenz: CC BY

http://www.stat.tugraz.at/AJS/ausg104/104Berka.pdfLizenz: Nicht angegeben

1 Abgeschlossen

Fehlerrechnung in der Registerzählung
Cetkovic, P. (Forscher*in), Humer, S. (Forscher*in), Moser, M. (Forscher*in) & Schnetzer, M. (Forscher*in)
1/07/11 → 30/06/14
Projekt: Forschungsförderung

Zitat

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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.",

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AU - Rechta, Henrik

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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.

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SN - 1026-597X

VL - 39

SP - 299

EP - 308

JO - Austrian Journal of Statistics

JF - Austrian Journal of Statistics

IS - 4

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

Abstract

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Fehlerrechnung in der Registerzählung

Zitat