Quotation Hackl, Peter, Denk, Michaela. 2004. Data Integration: Techniques and Evaluation. Austrian Journal of Statistics. 33 135-152.


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Abstract

Within the DIECOFIS framework, ec3, the Division of Business Statistics from the Vienna University of Economics and Business Administration and ISTAT worked together to find methods to create a comprehensive database of enterprise data required for taxation microsimulations via integration of existing disparate enterprise data sources. This paper provides an overview of the broad spectrum of investigated methodology (including exact and statistical matching as well as imputation) and related statistical quality indicators, and emphasises the relevance of data integration, especially for official statistics, as a means of using available information more efficiently and improving the quality of a statistical agency’s products. Finally, an outlook on an empirical study comparing different exact matching procedures in the maintenance of Statistics Austria’s Business Register is presented.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Austrian Journal of Statistics
Language English
Title Data Integration: Techniques and Evaluation
Volume 33
Year 2004
Page from 135
Page to 152
URL https://www.ajs.or.at/index.php/ajs/article/view/vol33%2C%20no1%262%20-%208
DOI https://doi.org/10.17713/ajs.v33i1&2.435
Open Access N

Associations

People
Hackl, Peter (Former researcher)
External
Denk, Michaela (IMF, United States/USA)
Research areas (ÖSTAT Classification 'Statistik Austria')
1113 Mathematical statistics (Details)
5323 Econometrics (Details)
5701 Applied statistics (Details)
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