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Agglomerative Forces and Cluster Shapes

  • William R. Kerr
  • Scott Duke Kominers

We model spatial clusters of similar firms. Our model highlights how agglomerative forces lead to localized, individual connections among firms, while interaction costs generate a defined distance over which attraction forces operate. Overlapping firm interactions yield agglomeration clusters that are much larger than the underlying agglomerative forces themselves. Empirically, we demonstrate that our model's assumptions are present in the structure of technology and labor flows within Silicon Valley and its surrounding areas. Our model further identifies how the lengths over which agglomerative forces operate influence the shapes and sizes of industrial clusters; we confirm these predictions using variations across both technology clusters and industry agglomeration.

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File URL: http://www.nber.org/papers/w16639.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16639.

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Date of creation: Dec 2010
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Publication status: published as Kerr, William R., and Scott Duke Kominers. "Agglomerative Forces and Cluster Shapes." Review of Economics and Statistics 96, no. 3 (July 2014).
Handle: RePEc:nbr:nberwo:16639
Note: IO LS PR
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  1. Stuart S. Rosenthal & William C. Strange, 1999. "Geography, Industrial Organization, and Agglomeration," Center for Policy Research Working Papers 14, Center for Policy Research, Maxwell School, Syracuse University.
  2. Fallick, Bruce & Fleischman, Charles A. & Rebitzer, James B., 2005. "Job-Hopping in Silicon Valley: Some Evidence Concerning the Micro-Foundations of a High Technology Cluster," IZA Discussion Papers 1799, Institute for the Study of Labor (IZA).
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  5. Lychagin, Sergey & Pinkse, Joris & Slade, Margaret E. & Van Reenen, John, 2010. "Spillovers in Space: Does Geography Matter?," CEPR Discussion Papers 7928, C.E.P.R. Discussion Papers.
  6. Gilles Duranton & Henry Overman, 2002. "Testing for Localisation Using Micro-Geographic Data," CEP Discussion Papers dp0540, Centre for Economic Performance, LSE.
  7. Edward L. Glaeser & William R. Kerr & Giacomo A.M. Ponzetto, 2009. "Clusters of Entrepreneurship," NBER Working Papers 15377, National Bureau of Economic Research, Inc.
  8. Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2004. "A Divergence Statistic for Industrial Localization," KIER Working Papers 587, Kyoto University, Institute of Economic Research.
  9. Laura Alfaro & Maggie Chen, 2009. "The Global Agglomeration of Multinational Firms," NBER Working Papers 15576, National Bureau of Economic Research, Inc.
  10. Kristian Behrens & Gilles Duranton & Fr�d�ric Robert-Nicoud, 2014. "Productive Cities: Sorting, Selection, and Agglomeration," Journal of Political Economy, University of Chicago Press, vol. 122(3), pages 507 - 553.
  11. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
  12. Kristin Aarland & James Davis & J Vernon Henderson & Yukako Ono, 2004. "Spatial Organization of Firms: The Decision to Split Production and Administration," Working Papers 04-03, Center for Economic Studies, U.S. Census Bureau.
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  15. Akcigit, Ufuk & Kerr, William R., 2013. "Growth through heterogeneous innovations," Research Discussion Papers 28/2013, Bank of Finland.
  16. Partridge, Mark D. & Rickman, Dan S. & Ali, Kamar & Olfert, M. Rose, 2009. "Agglomeration spillovers and wage and housing cost gradients across the urban hierarchy," Journal of International Economics, Elsevier, vol. 78(1), pages 126-140, June.
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  20. Natarajan Balasubramanian & Jagadeesh Sivadasan, 2008. "What Happens When Firms Patent? New Evidence from U.S. Economic Census Data," Working Papers 08-03, Center for Economic Studies, U.S. Census Bureau.
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  24. Shihe Fu & Stephen L. Ross, 2007. "Wage Premia in Employment Clusters: Does Worker Sorting Bias Estimates?," Working papers 2007-26, University of Connecticut, Department of Economics, revised Dec 2009.
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