A common problem with spatial economic concentration measures (e.g. Gini, Herfindhal, entropy and Ellison-Glaeser indices) is accounting for the position of regions in space. While they purport to measure spatial clustering, these statistics are confined to calculations within individual areal...

This paper reexamines the relationship between geographic concentration of an industry (localization) and establishment scale. We use an approach that builds on Ellison & Glaeser’s (1997) dartboard location model to measure localization. Contrary to Holmes & Stevens’s (2002) pioneering...

This paper uses a novel measure and detailed plant-level Portuguese data to reexamine the Marshallian hypothesis that specialization and the vertical disintegration of firms should be greater in areas where an industry concentrates. Our measure of firm specialization and vertical disintegration...

The recent index proposed by Ellison & Glaeser (1997) is now well established as the preferred method for measuring the localization of economic activity. We build on McFadden's Random Utility (Profit) Maximization framework, to develop a parametric version of this measure that is more...

In this paper we reinterpret the location quotient, the commonly employed measure of regional industrial agglomeration, as an estimator derived from Ellison and Glaeser’s (1997) dartboard framework. This approach provides a theoretical foundation on which to build statistical tests for the...

The recent index proposed in Ellison & Glaeser (1997) is now well established as the preferred method for measuring localization of economic activity. We critically review this index and build on the McFadden’s Random Utility (Profit) Maximization framework to develop an alternative measure...

The index proposed by Ellison and Glaeser (1997) is now well established as the preferred method for measuring the localization of economic activity. In this paper we develop an alternative localization measure that is consistent with the theoretical framework originally proposed by Ellison and...