Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/156258
Authors: 
von Auer, Ludwig
Stepanyan, Andranik
Trede, Mark
Year of Publication: 
2016
Series/Report no.: 
Research Papers in Economics 13/16
Abstract: 
When some industries are overrepresented in urban areas (urban concentration), some other industries must be overrepresented in rural areas (rural concentration). Existing measures of concentration do not distinguish between these different types of concentration. Instead, they rank industries according to their degree of concentration. However, knowing the concentration type is important, when investigating the forces of agglomeration that shape the geographical distribution of an industry. Therefore, the present paper proposes a new statistical approach that classifies each industry into one of seven different geographical patterns, five of which represent different types of concentration. The statistical identification of each industry's geographical pattern is based on two Goodman-Kruskal rank correlation coefficients. The power of our approach is illustrated by German employment data on 613 different industries in 412 regions.
Subjects: 
Geographical Concentration
Archetypes
Confidence Region
Goodman-Kruskal Coefficient
JEL: 
R10
R12
Document Type: 
Working Paper

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