Small Area Estimation in the German Census 2011

Münnich Ralf (), Burgard Jan Pablo (), Gabler Siegfried (), Ganninger Matthias () and Kolb Jan-Philipp ()
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Münnich Ralf: University of Trier, ; Trier, ; German
Burgard Jan Pablo: University of Trier, ; Trier, ; German
Gabler Siegfried: GESIS Mannheim, ; Trier, ; German
Ganninger Matthias: Roche Diagnostics, ; Trier, ; German
Kolb Jan-Philipp: GESIS Mannheim, ; Trier, ; German

Statistics in Transition New Series, 2016, vol. 17, issue 1, 25-40

Abstract: In 2011, Germany conducted the first census after the reunification. In contrast to a classical census, a register-assisted census was implemented using population register data and an additional sample. This paper provides an overview of how the sampling design recommendations were set up in order to fulfil legal requirements and to guarantee an optimal but still flexible source of information. The aim was to develop a design that fosters an accurate estimation of the main objective of the census, the total population counts. Further, the design should also adequately support the application of small area estimation methods. Some empirical results are given to provide an assessment of selected methods. The research was conducted within the German Census Sampling and Estimation research project, financially supported by the German Federal Statistical Office.

Keywords: register-assisted census; small area estimation; design optimisation; relative root mean squared error (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:17:y:2016:i:1:p:25-40:n:4

DOI: 10.21307/stattrans-2016-004

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