A Divergence Statistic for Industrial Localization

A-Tier
Journal: Review of Economics and Statistics
Year: 2005
Volume: 87
Issue: 4
Pages: 635-651

Authors (3)

Tomoya Mori (Kyoto University) Koji Nishikimi (not in RePEc) Tony E. Smith (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We propose a statistical index of industrial localization based on the Kullback-Leibler divergence. This index is particularly well suited to cases where industrial data are available only at the regional level. Unlike existing regional-level indices, our index can be employed to test the significance of industrial localization relative to a hypothesized reference distribution of probable locations across regions. In addition, one can test relative degrees of localization among industries. Finally, as with all Kullback-Leibler divergence indices, our index can be decomposed into components representing localization at various levels of spatial aggregation. © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Technical Details

RePEc Handle
repec:tpr:restat:v:87:y:2005:i:4:p:635-651
Journal Field
General
Author Count
3
Added to Database
2026-01-26