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\author{Asamer \\ Stat. Aus. \And
        Astleithner \\ Univ. Vienna  \And 
        \'Cetkovi\'c \\ WU \And
        Humer \\ WU \And
        Lenk \\ Stat. Aus. \And
        Moser \\ WU \And
        Rechta\\ Stat. Aus.
         }
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% \author{Eva-Maria Asamer \footnotemark[1], Franz Astleithner \footnotemark[7], Predrag \'Cetkovi\'c\footnotemark[7], Stefan Humer\footnotemark[7], Manuela Lenk\footnotemark[1], Mathias Moser\footnotemark[7], Henrik Rechta \footnotemark[1]\footnotetext[1]{Statistics Austria}\footnotetext[7]{Vienna University of Economics and Business} }
\title{Quality Assessment for Register-based Statistics - Results for the Austrian Census 2011}

%% for pretty printing and a nice hypersummary also set:
\Plainauthor{Eva-Maria Asamer, Franz Astleithner, Predrag \'Cetkovi\'c, Stefan Humer, Manuela Lenk, Mathias Moser, Henrik Rechta} %% comma-separated
\Plaintitle{Quality Assessment for Register-based Statistics - Results for the Austrian Census 2011} %% without formatting
\Shorttitle{Quality Assessment for Register-based Statistics} %% a short title (if necessary)

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\Abstract{
In 2011, Statistics Austria carried out its first register-based census. Advantages of using administrative data for statistical purposes are, among others, a reduced burden for respondents and lower cost for the National Statistical Institutes (NSI). However, new challenges, like need for a new approach to the quality assessment of this kind of data arise. Therefore, Statistics Austria developed a comprehensive standardized framework to evaluate data quality for register-based statistics.
In this paper, we present the basic concept of this quality framework and provide detailed results from the quality evaluation of the Austrian census of 2011. More specifically, we derive a quality measure for each census attribute from four complementary hyperdimensions. The first three of these hyperdimensions address the documentation of data, the usability of records and an external data validation. The fourth hyperdimension focuses on the quality of data imputations. The proposed framework combines these different quality-related information sources for each attribute to form an overall quality indicator. This procedure allows to track changes in quality during data processing and to compare the quality of different census generations.
}
\Keywords{administrative data, register--based census, quality assessment, Austrian~Census~2011}
\Plainkeywords{administrative data, register--based census, quality assessment, Austrian Census 2011} %% without formatting
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%% NOTE: Typically, this can be left commented and will be filled out by the technical editor
%% \Volume{50}
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\Address{
  Eva-Maria Asamer\\
  Unit Register--based Census\\
  Statistics Austria\\
  Guglgasse 13\\
  A-1110 Vienna, Austria\\
  E-mail: \email{eva-maria.asamer@statistik.gv.at}\\
  URL: \url{http://www.statistik.at} \\ \vspace{0.2cm}
  
  Franz Astleithner\\
  University of Vienna\\
  Institute for Sociology\\
  Rooseveltplatz 2\\
  A-1090 Vienna, Austria\\
  E-mail: \email{franz.astleithner@univie.ac.at}\\
  URL: \url{http://www.univie.ac.at} \\ \vspace{0.2cm}
  
  Mathias Moser\\
  WU Vienna\\
  Institute for Macroeconomics\\
  Welthandelsplatz 1\\
  A-1020 Vienna, Austria\\
  E-mail: \email{matmoser@wu.ac.at}\\
  URL: \url{http://www.wu.ac.at}
}
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\begin{document}

	%\input{docs/titel_abstract}
	%\clearpage

	\section {Introduction}
	\label {intro}
	\input {docs/01_introduction}
	
	\section{Sources for the register-based census}
	\label{sources}
	\input{docs/02_sources}	
	
	\section{The quality assessment of administrative data}
	\label{framework}
	\input{docs/03_framework}	
	
	\section {Results of the quality assessment for the Austrian Census 2011}
	\label{results}
	\input{docs/04_results}
	
    \section{Conclusion and outlook}
	\label{conclusion}
	\input{docs/05_conclusion}

	%\bibliographystyle{apacite}
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	\bibliography{litera}
	\clearpage
	
%	\appendix
%	\section{Appendix}
%	\label{appendix}
%	\input{docs/04_appendix}

	

\end{document}


