RUMS – how to compare structures of enterprise groups?

In a globalised and interconnected world, enterprise groups play an increasingly important role in the economy. At the same time, it is becoming more difficult for official statistics to map these structures correctly to be able to analyse them for the various statistical areas. Enterprise groups have complex data structures that often come from different data sources of varying quality and need to be compared at different points in time. Comparing these complex and growing entities is not trivial and has therefore rarely been done in the past across countries and sources. To fill this gap, inspired by other similarity metrics, a new similarity metric has been developed in the German statistical business register: RUMS – R ommelspacher- U rban M etric for S imilarity of enterprise groups . RUMS enables the comparison of enterprise groups within and between statistical business registers. This allows the quantification of changes over time or deviations in different business registers, which can help to detect data inconsistencies to increase data quality. RUMS is defined in a way that allows flexible adjustments to the weightings of the properties that are considered in the calculation based on the specific needs of the use case.

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Publication Details

Journal
Statistical Journal of the IAOS
Published
2024-11-01
DOI
https://doi.org/10.1177/18747655241298573
Primary Topic
Business Strategy and Innovation
Type
article
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article

RUMS – how to compare structures of enterprise groups?

Simon Rommelspacher, Adrian Urban
Statistical Journal of the IAOS
Business Strategy and Innovation
article

RUMS – how to compare structures of enterprise groups?

Simon Rommelspacher, Adrian Urban
article en

Abstract

In a globalised and interconnected world, enterprise groups play an increasingly important role in the economy. At the same time, it is becoming more difficult for official statistics to map these structures correctly to be able to analyse them for the various statistical areas. Enterprise groups have complex data structures that often come from different data sources of varying quality and need to be compared at different points in time. Comparing these complex and growing entities is not trivial and has therefore rarely been done in the past across countries and sources. To fill this gap, inspired by other similarity metrics, a new similarity metric has been developed in the German statistical business register: RUMS – R ommelspacher- U rban M etric for S imilarity of enterprise groups . RUMS enables the comparison of enterprise groups within and between statistical business registers. This allows the quantification of changes over time or deviations in different business registers, which can help to detect data inconsistencies to increase data quality. RUMS is defined in a way that allows flexible adjustments to the weightings of the properties that are considered in the calculation based on the specific needs of the use case.

Statistical Journal of the IAOSVol. 40(4)
Statistisches Bundesamt (DE)
Openalex Percentile: Top 54%
Business Strategy and Innovation
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RUMS – how to compare structures of enterprise groups? — Simon Rommelspacher, Adrian Urban · Statistical Journal of the IAOS (2024) | TGRS Research Map | TGRS