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How Licensing Resolves Hold-Up: Evidence from a Dynamic Panel Data Model with Unobserved Heterogeneity

  • Siebert, Ralph
  • Graevenitz, Georg von

In a patent thicket licensing provides a mechanism to either avoid or resolve hold-up. Firms' R&D incentives will differ depending on how licensing is used. In this paper we study the choice between ex ante licensing to avoid hold-up and ex post licensing to resolve it. Building on a theoretical model of a patent portfolio race, firms' choices of licensing contracts are modelled. We derive several hypotheses from the model and find support for these using data from the semiconductor industry. The empirical results show that firms' relationships in product markets and technology space jointly determine the type of licensing contract chosen. Implications for the regulation of licensing are discussed. We estimate a dynamic panel data model with unobserved heterogeneity and a lagged dependent variable. A method suggested by Wooldridge (2005) is employed to estimate a random effects probit model using conditional maximum likelihood.

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Paper provided by Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich in its series Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems with number 105.

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Date of creation: Apr 2006
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Handle: RePEc:trf:wpaper:105
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  1. Carl Shapiro, 2001. "Navigating the Patent Thicket: Cross Licenses, Patent Pools, and Standard Setting," NBER Chapters, in: Innovation Policy and the Economy, Volume 1, pages 119-150 National Bureau of Economic Research, Inc.
  2. Beath, John & Katsoulacos, Yannis & Ulph, David, 1988. "Strategic R&D Policy," CEPR Discussion Papers 276, C.E.P.R. Discussion Papers.
  3. Bloom, Nicholas & Schankerman, Mark & Van Reenen, John, 2005. "Identifying Technology Spillovers and Product Market Rivalry," CEPR Discussion Papers 4912, C.E.P.R. Discussion Papers.
  4. Kamien, Morton I & Muller, Eitan & Zang, Israel, 1992. "Research Joint Ventures and R&D Cartels," American Economic Review, American Economic Association, vol. 82(5), pages 1293-306, December.
  5. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
  6. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  7. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, 04.
  8. Anand, Bharat N & Khanna, Tarun, 2000. "The Structure of Licensing Contracts," Journal of Industrial Economics, Wiley Blackwell, vol. 48(1), pages 103-35, March.
  9. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," American Economic Review, American Economic Association, vol. 91(1), pages 1-32, March.
  10. Andrea Fosfuri, 2004. "The Licensing Dilemma: Understanding The Determinants Of The Rate Of Licensing," Business Economics Working Papers wb041507, Universidad Carlos III, Departamento de Economía de la Empresa.
  11. Nti, Kofi O, 1997. "Comparative Statics of Contests and Rent-Seeking Games," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(1), pages 43-59, February.
  12. Wooldridge, Jeffrey M., 1997. "Multiplicative Panel Data Models Without the Strict Exogeneity Assumption," Econometric Theory, Cambridge University Press, vol. 13(05), pages 667-678, October.
  13. Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
  14. Roberto Hern·n & Pedro L. MarÌn & Georges Siotis, 2003. "An empirical evaluation of the determinants of Research Joint Venture Formation," Journal of Industrial Economics, Wiley Blackwell, vol. 51(1), pages 75-89, 03.
  15. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
  16. Arellano, M & Carrasco, R, 1996. "Binary Choice Panel Data Models with Predetermined Variables," Papers 9618, Centro de Estudios Monetarios Y Financieros-.
  17. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
  18. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
  19. Cockburn, Iain & Henderson, Rebecca, 1994. "Racing to Invest? The Dynamics of Competition in Ethical Drug Discovery," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 3(3), pages 481-519, Fall.
  20. Loury, Glenn C, 1979. "Market Structure and Innovation," The Quarterly Journal of Economics, MIT Press, vol. 93(3), pages 395-410, August.
  21. repec:cup:etheor:v:13:y:1997:i:5:p:667-78 is not listed on IDEAS
  22. Lee, Tom & Wilde, Louis L, 1980. "Market Structure and Innovation: A Reformulation," The Quarterly Journal of Economics, MIT Press, vol. 94(2), pages 429-36, March.
  23. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1988. "Appropriating the Returns from Industrial R&D," Cowles Foundation Discussion Papers 862, Cowles Foundation for Research in Economics, Yale University.
  24. Dale W. Jorgenson, 2001. "Information Technology and the U. S. Economy," Harvard Institute of Economic Research Working Papers 1911, Harvard - Institute of Economic Research.
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