Testing for Localisation Using Micro-Geographic Data

By O. Bandiera, Ian Richard Gordon, B. McCormick, Tomoya Mori, Diego Puga, Danny Quah, Steve Redding, Stuart S. Rosenthal, Tony Venables, Gilles Duranton and 1 more. 2005

1,081 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/508249ad1bca0d9f838699b4cc6924440f5e4a31

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Citations in the corpus

Localized Knowledge Spillovers and Patent Citations: A Distance-Based Approach (2014, background): “…distance that is specific to each patent class.19 19 Since the degree of localization tends to differ across industries (Ellison & Glaeser, 1997; Duranton & Overman, 2005), it seems natural to expect We thus classify all originating patents into different patent classes by their primary class.”
Are there really high-tech clusters? The geographic concentration of German manufacturing industries and its determinants (2006, background): “These numbers are comparable with those in Maurel and Sedillot (1999), Barrios et al. (2003) and Duranton and Overman (2002) who find for other European countries that the majority of industries, but not all of them, exhibit a location pattern significantly different from a random outcome.”
Measuring Agglomeration Using the Standardized Location Quotient with a Bootstrap Method (2013, methodology): “The studies exploring the continuous-type indices include Duranton and Overman (2005), which analyzes DurantonOverman K-density, and Marcon and Puech (2003, 2009) and Arbia et al. (2010), which investigate Ripley’s K-function.”
Frontiers of the New Economic Geography (2005, unknown): “Duranton and Overman (2005), by utilising the inter-establishment distance data, developed a statistical method to identify the spatial extent of industryspecific as well as inter-industry agglomerations.”
Do Public Transport Improvements Increase Agglomeration Economies? A Review of Literature and an Agenda for Research (2011, background): “Some of the more recent sophisticated studies using firm-level data have begun to specify models that investigate scale (e.g. Duranton and Overman, 2005; Graham, 2007b).”
An empirical analytical framework for agglomeration economies (2008, background): “Recent studies of localization are provided by Duranton and Overman (2005) and Devereux et al. (2004).”
What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns (2010, unknown): “Our second coagglomeration metric is a “lumpy” approximation to the continuous index developed by Duranton and Overman ( 2005, hereafter DO .”
The Empirics of Agglomeration and Trade (2003, unknown): “Ellison and Glaeser (1997) establish a relationship between a variant of their index capturing co-agglomeration and the inputoutput linkages between the considered industry pairs.”
The empirics of new economic geography (2010, unknown): “12See Duranton and Overman (2005), for a spatial point pattern approach to measuring geographical concentration that also addresses other measurement concerns, such as spatial scale and the statistical significance of departures from randomness.”
The Spatial Distribution of Economic Activities in the EU (2003, unknown): “Finally, results in Duranton and Overman (2002) suggest that we may need to consider alternatives to Ellison and Glaeser (1997) that are unbiased with respect to spatial scale.”
A Divergence Statistic for Industrial Localization (2005, methodology): “We have benefited greatly from discussions with Gilles Duranton, Vernon Henderson, Kazuhiko Kakamu, Yoshihiko Nishiyama, Henry Overman, Akihisa Shibata, and two anonymous referees.”
Trends and determinants of China's industrial agglomeration (2009, unknown): “[12] Duranton, G. and H. G. Overman.”
Evolutionary agglomeration theory: increasing returns, diminishing returns, and the industry life cycle (2011, background): “…the Sheffield metals industry includes many economists, such as Krugman (1991a), Krugman and Obstfeld (2009), Venables (1999), Fujita et al. (1999), Duranton and Overman (2005), Matouschek and Robert-Nicoud (2005), Dunning (2000), and Rosenthal and Strange (2004), and geographers, such as Storper…”
The Area and Population of Cities: New Insights from a Different Perspective on Cities (2010, unknown): “A second approach is to construct cities from micro data (Holmes and Lee 2009; Duranton and Overman 2005; Mori, Nishikimi and Smith 2008; Michaels, Rauch and Redding 2008).”
Who Benefits from Agglomeration? (2015, unknown): “While most reports of the agglomeration of economic activity tend to be rather crude, rigorous tests of the spatial clustering of establishments using distance-based methods were provided by FESER and SWEENEY (2000), MARCON and PUECH (2003), and DURANTON and OVERMAN (2005, 2008).”