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Within‐industry agglomeration of occupations: Evidence from census microdata

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  • Benjamin Goldman
  • Thomas Klier
  • Thomas Walstrum

Abstract

This study uses worker‐level data on industry, occupation, and place of work to explore differences in the spatial properties of production, administrative, and R&D occupation groups within industries. To measure differences, we calculate location quotients at the local labor market level and the Duranton and Overman (2005) agglomeration index for each group. We find appreciable differences in the spatial distribution of occupation groups within most manufacturing industries, with R&D occupations consistently exhibiting the highest degree of spatial concentration. Our results are consistent with the core theoretical and empirical results in the agglomeration literature.

Suggested Citation

  • Benjamin Goldman & Thomas Klier & Thomas Walstrum, 2019. "Within‐industry agglomeration of occupations: Evidence from census microdata," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 910-930, November.
    • Handle: RePEc:bla:jregsc:v:59:y:2019:i:5:p:910-930
    DOI: 10.1111/jors.12432
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    Cited by:

    1. Andreas Behr & Christoph Schiwy & Lucy Hong, 2023. "Do high local customer and supply densities foster firm growth? [Fördern hohe lokale Kunden- und Lieferantendichten das Unternehmenswachstum?]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(2), pages 265-289, August.
    2. Kang Pan & Feng He & Rong Liu, 2022. "Does High-Tech Industry Agglomeration Promote Its Export Product Upgrading?—Based on the Perspective of Innovation and Openness," Sustainability, MDPI, vol. 14(13), pages 1-23, July.

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