Detecting Spatial Clustering Using a Firm-Level Index
Working Papers on Innovation and Space, 2013
ABSTRACT We present a new statistical method that detects industrial clusters at a firm level. Th... more ABSTRACT We present a new statistical method that detects industrial clusters at a firm level. The proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our metric differs both in its calculation and interpretation from existing distanceâ€based metrics and shows four central properties that enable its meaningful usage for cluster analysis. The method fulfills all five criteria for a test of localization proposed by Duranton and Overman (2005).
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Papers by Thomas Brenner