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Shared knowledge and the coagglomeration of occupations

  • Todd M. Gabe
  • Jaison R. Abel

This paper provides an empirical analysis of the extent to which people in different occupations locate near one another, or coagglomerate. We construct pairwise Ellison-Glaeser coagglomeration indices for U.S. occupations and use these measures to investigate the factors influencing the geographic concentration of occupations. The analysis is conducted separately at the metropolitan area and state levels of geography. Empirical results reveal that occupations with similar knowledge requirements tend to coagglomerate and that the importance of this shared knowledge is larger in metropolitan areas than in states. These findings are robust to instrumental variables estimation that relies on an instrument set characterizing the means by which people typically acquire knowledge. An extension to the main analysis finds that, when we focus on metropolitan areas, the largest effects on coagglomeration are due to shared knowledge about the subjects of engineering and technology, arts and humanities, manufacturing and production, and mathematics and science.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 612.

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Date of creation: 2013
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Handle: RePEc:fip:fednsr:612
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  1. Michael P. Devereux & Rachel Griffith & Helen Simpson, 2000. "The Geographic Distribution of Production Activity in the UK," Econometric Society World Congress 2000 Contributed Papers 1397, Econometric Society.
  2. William Kerr & Edward Glaeser & Glenn Ellison, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," Working Papers 07-13, Center for Economic Studies, U.S. Census Bureau.
  3. Jaison R. Abel & Ishita Dey & Todd M. Gabe, 2012. "Productivity And The Density Of Human Capital," Journal of Regional Science, Wiley Blackwell, vol. 52(4), pages 562-586, October.
  4. Pierre-Philippe Combes & Gilles Duranton, 2001. "Labor pooling, labor poaching and spatial clustering," LSE Research Online Documents on Economics 20103, London School of Economics and Political Science, LSE Library.
  5. BARRIOS, Salvador & BERTINELLI, Luisito & STROBL, Eric & TEIXEIRA, Antonio Carlos, 2004. "The dynamics of agglomeration : evidence from Ireland and Portugal," CORE Discussion Papers 2004010, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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  7. Michael Storper & Anthony J. Venables, 2003. "Buzz: Face-to-Face Contact and the Urban Economy," CEP Discussion Papers dp0598, Centre for Economic Performance, LSE.
  8. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
  9. Jordi Jofre-Monseny & Raquel Marín-López & Elisabet Viladecans-Marsal, 2010. "The mechanisms of agglomeration: Evidence from the effect of inter-industry relations on the location of new firms," Working Papers 2010/49, Institut d'Economia de Barcelona (IEB).
  10. Shihe Fu, 2005. "Smart Cafe Cities: Testing Human Capital Externalities in the Boston Metropolitan Area," Working Papers 05-24, Center for Economic Studies, U.S. Census Bureau.
  11. Bruce Fallick & Charles A. Fleischman & James B. Rebitzer, 2005. "Job-hopping in Silicon Valley: some evidence concerning the micro-foundations of a high technology cluster," Finance and Economics Discussion Series 2005-11, Board of Governors of the Federal Reserve System (U.S.).
  12. Todd M. Gabe, 2009. "Knowledge And Earnings," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 439-457.
  13. Freedman, Matthew L., 2008. "Job hopping, earnings dynamics, and industrial agglomeration in the software publishing industry," Journal of Urban Economics, Elsevier, vol. 64(3), pages 590-600, November.
  14. Allen J. Scott, 2009. "Human capital resources and requirements across the metropolitan hierarchy of the USA," Journal of Economic Geography, Oxford University Press, vol. 9(2), pages 207-226, March.
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