Measuring and testing spatial mass concentration with micro-geographic data

Christine Thomas-Agnan and Florent Bonneu

No 14-474, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: We address the question of measuring and testing industrial spatial concentration based on micro-geographic data with distance based methods. We discuss the basic requirements for such measures and we propose four additional requirements. We also discuss the null assumptions classically used for testing aggregation of a particular sector and propose an alternative point of view. Our general index measure involves a cumulative and a non-cumulative version. This allows us to propose an alternative version of the Duranton Overman index with a proper baseline as well as a cumulative version of this same index. We illustrate the approach with some simulated data.

Keywords: Spatial concentration; marked point processes; agglomeration; spatial clusters (search for similar items in EconPapers)
Date: 2014-01
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.tse-fr.eu/sites/default/files/medias/doc/wp/etrie/wp_tse_474.pdf Full text (application/pdf)

Related works:
Journal Article: Measuring and Testing Spatial Mass Concentration with Micro-geographic Data (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:27959

Access Statistics for this paper

More papers in TSE Working Papers from Toulouse School of Economics (TSE) Contact information at EDIRC.
Bibliographic data for series maintained by ().