Data Matching for the Maintenance of the Business Register of Statistics Austria

Authors

  • Alois Haslinger Statistics Austria, Vienna

DOI:

https://doi.org/10.17713/ajs.v33i1&2.430

Abstract

The Business Register of Statistics Austria is the basic instrument for all surveys conducted in economic statistics. For the maintenance mainly four different administrative sources are used. Unfortunately, the units of the different registers do not agree exactly and there is no unique numerical key in the business register and the administrative registers. Each register uses its own key. The units of an administrative register belonging to a certain
unit of the business register have to be found by comparing alphanumerical items like name and address. For that purpose we use the method of Ngrams after some parsing and standardising of the texts. With that method above 90% of the profit-oriented units of the business register could be linked with a corresponding unit of the tax register (these linked units account for 99% of total turnover). 80% of the links were found fully
automatically, the rest was checked manually.

References

Council regulation (EEC) No 2186/93 of 22 July 1993 on Community coordination in drawing up business registers for statistical purposes, 1993.

Bundesstatistikgesetz 2000. Federal Statistics Act of 2000, BGBL I Nr.163/1999, idF BGBL I Nr.136/2001, Vienna, 2001.

A. Haslinger. Automatic Coding and Text Processing using N-grams. In Conference of European Statisticians. Statistical Standards and Studies – No. 48. Statistical Data Editing, Volume No. 2, Methods and Techniques, pages 199-209. UNO, New York and Geneva, 1997.

R. Müllauer. TST (MVS) 2.5X. Unpublished documentation about a collection of loadmodules and program-skeletons for the purpose of matching two text fields used in Statistics Austria, Vienna, 2003.

Office of National Statistics. Methods for Automatic Record Matching and Linkage and their Use in National Statistics, National Statistics Methodological Series No. 25, London, 2001.

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Published

2016-04-03

Issue

Section

Articles

How to Cite

Data Matching for the Maintenance of the Business Register of Statistics Austria. (2016). Austrian Journal of Statistics, 33(1&2), 55-67. https://doi.org/10.17713/ajs.v33i1&2.430