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The spatial extent of agglomeration economies across the wage earnings distribution
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-4871-833X
2019 (English)In: Journal of regional science, ISSN 0022-4146, E-ISSN 1467-9787, Vol. 59, no 2, p. 281-301Article in journal (Refereed) Published
Abstract [en]

We investigate the spatial extent of agglomeration economies across the wage earnings distribution using economic mass (total employment) in four distance bands around each individual’s establishment in a quantile regression framework. We control for observable and unobservable individual and establishment characteristics. Remaining endogeneity in the model is assessed with a set of instrumental variables. Results indicate a positive effect of economic mass on wage earnings up to 25 km away from the establishment. The spatial extent of agglomeration economies is similar across the wage earnings distribution. However, increases in economic mass shift the wage earnings distribution in a nonsymmetric way. 

Place, publisher, year, edition, pages
2019. Vol. 59, no 2, p. 281-301
Keywords [en]
conditional mean regression; conditional quantile regression; IV-approach; market size; Sweden
National Category
Economics and Business
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-28865DOI: 10.1111/jors.12411Scopus ID: 2-s2.0-85055162699OAI: oai:DiVA.org:du-28865DiVA, id: diva2:1260701
Available from: 2018-11-05 Created: 2018-11-05 Last updated: 2019-03-05Bibliographically approved

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Håkansson, Johan

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  • nn-NB
  • sv-SE
  • Other locale
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  • asciidoc
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