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Is distance dying at last? Falling home bias in fixed effects models of patent citations

  • Rachel Griffith
  • Sokbae Lee

We examine the “home bias” of international knowledge spillovers as measured by the speed of patent citations (i.e. knowledge spreads slowly over international boundaries). We present the first compelling econometric evidence that the geographical localization of knowledge spillovers has fallen over time, as we would expect from the dramatic fall in communication and travel costs. Our proposed estimator controls for correlated fixed effects and censoring in duration models and we apply it to data on over two million citations between 1975 and 1999. Home bias declines substantially when we control for fixed effects: there is practically no home bias for the more “modern” sectors such as pharmaceuticals and information/communication technologies.

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File URL: http://eprints.lse.ac.uk/4559/
File Function: Open access version.
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Paper provided by London School of Economics and Political Science, LSE Library in its series LSE Research Online Documents on Economics with number 4559.

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Length: 50 pages
Date of creation: Aug 2007
Date of revision:
Handle: RePEc:ehl:lserod:4559
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  1. Rachel Griffith & Rupert Harrison & John Van Reenen, 2004. "How special is the special relationship? Using the impact of US R&D spillovers on UK firms as a test of technology sourcing," IFS Working Papers W04/32, Institute for Fiscal Studies.
  2. Ariel Pakes, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," NBER Working Papers 1340, National Bureau of Economic Research, Inc.
  3. Lee, Sokbae, 2008. "Estimating Panel Data Duration Models With Censored Data," Econometric Theory, Cambridge University Press, vol. 24(05), pages 1254-1276, October.
  4. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
  5. Bernstein, Jeffrey I. & Mohnen, Pierre, 1998. "International R&D spillovers between U.S. and Japanese R&D intensive sectors," Journal of International Economics, Elsevier, vol. 44(2), pages 315-338, April.
  6. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
  7. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
  8. Peter Thompson, 2006. "Patent Citations and the Geography of Knowledge Spillovers: Evidence from Inventor- and Examiner-added Citations," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 383-388, May.
  9. Carolyn L. Evans & James Harrigan, 2005. "Distance, Time, and Specialization: Lean Retailing in General Equilibrium," American Economic Review, American Economic Association, vol. 95(1), pages 292-313, March.
  10. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  11. Keller, Wolfgang, 1998. "Are international R&D spillovers trade-related?: Analyzing spillovers among randomly matched trade partners," European Economic Review, Elsevier, vol. 42(8), pages 1469-1481, September.
  12. Joel Horowitz & Sokbae 'Simon' Lee, 2002. "Semiparametric estimation of a panel data proportional hazards model with fixed effects," CeMMAP working papers CWP21/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  13. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 251-268 National Bureau of Economic Research, Inc.
  14. Coe, David T & Helpman, Elhanan, 1993. "International R&D Spillovers," CEPR Discussion Papers 840, C.E.P.R. Discussion Papers.
  15. Head, Keith & Mayer, Thierry & Ries, John, 2007. "How Remote is the Offshoring Threat?," CEPR Discussion Papers 6542, C.E.P.R. Discussion Papers.
  16. Carolyn Evans & James Harrigan, 2003. "Distance, time, and specialization," International Finance Discussion Papers 766, Board of Governors of the Federal Reserve System (U.S.).
  17. Branstetter, Lee G., 2001. "Are knowledge spillovers international or intranational in scope?: Microeconometric evidence from the U.S. and Japan," Journal of International Economics, Elsevier, vol. 53(1), pages 53-79, February.
  18. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
  19. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment," American Economic Review, American Economic Association, vol. 95(1), pages 450-460, March.
  20. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
  21. Nicholas Bloom & John Van Reenen, 2000. "Patents, productivity and market value: evidence from a panel of UK firms," IFS Working Papers W00/21, Institute for Fiscal Studies.
  22. Adair Morse, 2006. "Are elite universities losing their competitive edge?," Proceedings, Federal Reserve Bank of Cleveland.
  23. Lee G. Branstetter & Mariko Sakakibara, 2002. "When Do Research Consortia Work Well and Why? Evidence from Japanese Panel Data," American Economic Review, American Economic Association, vol. 92(1), pages 143-159, March.
  24. Kim, E. Han & Morse, Adair & Zingales, Luigi, 2009. "Are elite universities losing their competitive edge?," Journal of Financial Economics, Elsevier, vol. 93(3), pages 353-381, September.
  25. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
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