A service provided by the WU Library and the WU IT-Services

Data Integration: Techniques and Evaluation

Hackl, Peter and Denk, Michaela (2004) Data Integration: Techniques and Evaluation. Austrian Journal of Statistics, 33 (1&2). pp. 135-152. ISSN 1026-597X

[img]
Preview
PDF
Available under License Creative Commons: Attribution 4.0 International (CC BY 4.0).

Download (174Kb) | Preview

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.

Item Type: Article
Keywords: DIECOFIS, Official Statistics, Data Integration, Record Matching, Exact Matching, Statistical Matching, Quality Indicators
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Version of the Document: Published
Depositing User: ePub Administrator
Date Deposited: 10 Jul 2017 15:30
Last Modified: 11 Jul 2017 19:15
Related URLs:
URI: http://epub.wu.ac.at/id/eprint/5631

Actions

View Item