2010
DOI: 10.1093/jeg/lbp066
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Measuring urban agglomeration economies with office rents

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Cited by 49 publications
(33 citation statements)
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“…The positive Outdegree (city) activity effect suggests that newly entered firms prefer to locate in cities with many existing firms, i.e., a preferential attachment process. Preferential attachment processes in the intercity corporate network are often driven by agglomeration (or external) economies of scales, as the clustering of different producer services may benefit from labor-pooling, supporting infrastructures, and innovation/information spillovers (Neal, 2008;Drennan and Kelly, 2011). Similar to a "snowballing" scenario, a positive Indegree (firm) popularity effect indicates that firms with many branches are prone to continue their expansive locational strategies.…”
Section: Evolution Of the Intercity Corporate Networkmentioning
confidence: 99%
“…The positive Outdegree (city) activity effect suggests that newly entered firms prefer to locate in cities with many existing firms, i.e., a preferential attachment process. Preferential attachment processes in the intercity corporate network are often driven by agglomeration (or external) economies of scales, as the clustering of different producer services may benefit from labor-pooling, supporting infrastructures, and innovation/information spillovers (Neal, 2008;Drennan and Kelly, 2011). Similar to a "snowballing" scenario, a positive Indegree (firm) popularity effect indicates that firms with many branches are prone to continue their expansive locational strategies.…”
Section: Evolution Of the Intercity Corporate Networkmentioning
confidence: 99%
“…Although their results do not support a positive effect of public rail transit on office rents, their professional employment concentration variable is similar to the use of producer service employment as a determinant of office rents in the paper by Drennan and Kelly (2011).…”
Section: Literature Reviewmentioning
confidence: 60%
“…In developing the model we hoped to specify a structural equation from which we would derive a viable estimating equation, as in the recent article on agglomeration economies arising from office activities (Drennan and Kelly 2011). We wanted all the variables in our estimating equation to be annual changes (first differences) rather than levels in order to avoid the twin econometric problems of omitted variable bias (the omission of a variable that affects rents but is constant over time, such as building codes and zoning laws) and nonstationery variables (a variable with a time trend which, when included, leads to biased results).…”
Section: Panel Regression Model and Datamentioning
confidence: 99%
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“…Cities that are able to attract more firms will almost surely face lower unemployment levels and higher productivity growth (Baptista et al, 2008;Van Stel and Suddle, 2008). Current empirical studies that pay specific attention to the impact of diversity and specialisation on location decisions are on an aggregate spatial level and focus mostly on extrametropolitan agglomeration economies in the manufacturing sector, whereas it is suggested that, especially for business services firms, local interactions are more relevant (Muller and Zenker, 2001;Duranton and Overman, 2005;Drennan and Kelly, 2010;Ellison et al, 2010). For example, Arzaghi and Henderson (2008) show that interactions between advertising agencies mainly take place within a couple of hundred meters.…”
Section: Introductionmentioning
confidence: 99%