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Job-Hopping in Silicon Valley: Some Evidence Concerning the Micro-Foundations of a High Technology Cluster

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  • Bruce Fallick
  • Charles A. Fleischman
  • James B. Rebitzer

Abstract

Observers of Silicon Valley's computer cluster report that employees move rapidly between competing firms, but evidence supporting this claim is scarce. Job-hopping is important in computer clusters because it facilitates the reallocation of talent and resources toward firms with superior innovations. Using new data on labor mobility, we find higher rates of job-hopping for college-educated men in Silicon Valley's computer industry than in computer clusters located out of the state. Mobility rates in other California computer clusters are similar to Silicon Valley's, suggesting some role for features of California law that make non-compete agreements unenforceable. Consistent with our model of innovation, mobility rates outside of computer industries are no higher in California than elsewhere.

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Paper provided by Levy Economics Institute in its series Economics Working Paper Archive with number wp_432.

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Date of creation: Dec 2005
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Handle: RePEc:lev:wrkpap:wp_432

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  1. Daron Acemoglu & Jorn-Steffen Pischke, 1998. "Beyond Becker: Training in Imperfect Labor Markets," NBER Working Papers 6740, National Bureau of Economic Research, Inc.
  2. Acemoglu, Daron, 1996. "A Microfoundation for Social Increasing Returns in Human Capital Accumulation," The Quarterly Journal of Economics, MIT Press, vol. 111(3), pages 779-804, August.
  3. Paul Almeida & Bruce Kogut, 1999. "Localization of Knowledge and the Mobility of Engineers in Regional Networks," Management Science, INFORMS, vol. 45(7), pages 905-917, July.
  4. Acemoglu, Daron, 1997. "Training and Innovation in an Imperfect Labour Market," Review of Economic Studies, Wiley Blackwell, vol. 64(3), pages 445-64, July.
  5. Enrico Moretti, 2004. "Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions," American Economic Review, American Economic Association, vol. 94(3), pages 656-690, June.
  6. Moretti, Enrico, 2004. "Estimating the social return to higher education: evidence from longitudinal and repeated cross-sectional data," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 175-212.
  7. Michael Porter, 2003. "The Economic Performance of Regions," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 549-578.
  8. Jarle M√łen, 2000. "Is Mobility of Technical Personnel a Source of R&D Spillovers?," NBER Working Papers 7834, National Bureau of Economic Research, Inc.
  9. Ajay Agrawal & Iain Cockburn & John McHale, 2003. "Gone But Not Forgotten: Labor Flows, Knowledge Spillovers, and Enduring Social Capital," NBER Working Papers 9950, National Bureau of Economic Research, Inc.
  10. Carliss Y. Baldwin & Kim B. Clark, 2000. "Design Rules, Volume 1: The Power of Modularity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262024667, December.
  11. Daron Acemoglu & Joshua Angrist, 2001. "How Large are Human-Capital Externalities? Evidence from Compulsory-Schooling Laws," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 9-74 National Bureau of Economic Research, Inc.
  12. Bruce Fallick & Charles A. Fleischman, 2004. "Employer-to-employer flows in the U.S. labor market: the complete picture of gross worker flows," Finance and Economics Discussion Series 2004-34, Board of Governors of the Federal Reserve System (U.S.).
  13. Julio J. Rotemberg & Garth Saloner, 1990. "Competition and Human Capital Accumulation: A Theory of Interregional Specialization and Trade," NBER Working Papers 3228, National Bureau of Economic Research, Inc.
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