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Patent Activity and Technical Change

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Author Info
Robert L. Basmann (Department of Economics, Binghamton University)
Michael McAleer (Department of Economics, University of Western Australia)
Daniel Slottje (Department of Economics, Southern Methodist University)

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Abstract

This paper presents an aggregate production function of the generalized Fechner-Thurstone (GFT) form to analyze the impact of an important component of intellectual industrial property, namely patent activity, on technical change in the USA for the period 1947-1981. We define a technology-changer as a variable that has an impact on the elasticity of the marginal rate of technical substitution (mrts) between inputs of the GFT production function over time. Various types of US patent grant activity, specifically total, domestic, foreign, successful and unsuccessful patents, are used as instruments for the technology-changer. Using the GFT specification, the impacts of various technology-changers on the elasticity of the mrts between inputs are estimated directly. It is found that granted (or successful) patents, patents granted to foreign companies and individuals, total patent applications, and even unsuccessful patent applications, have significant impacts on the rates at which inputs are substituted for each other over time in production.

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Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-217.

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Length: 22 pages
Date of creation: Mar 2003
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Handle: RePEc:tky:fseres:2003cf217

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August. [Downloadable!] (restricted)
  2. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May. [Downloadable!] (restricted)
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  3. Lanjouw, Jean O & Pakes, Ariel & Putnam, Jonathan, 1998. "How to Count Patents and Value Intellectual Property: The Uses of Patent Renewal and Application Data," Journal of Industrial Economics, Blackwell Publishing, vol. 46(4), pages 405-32, December. [Downloadable!] (restricted)
  4. Daniel J. Wilson, 2002. "Is Embodied Technology the Result of Upstream R&D? Industry-Level Evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 285-317, April. [Downloadable!] (restricted)
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  5. Basmann, R. L. & Hayes, K. J. & Slottje, D. J. & Molina, D. J., 1987. "A new method for measuring technological change," Economics Letters, Elsevier, vol. 25(4), pages 329-333. [Downloadable!] (restricted)
  6. McAleer, Michael, 1994. " Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Blackwell Publishing, vol. 8(4), pages 317-70, December.
  7. Basmann, R L & Molina, D J & Slottje, D J, 1983. "Budget Constraint Prices as Preference Changing Parameters of Generalized Fechner-Thurstone Direct Utility Functions," American Economic Review, American Economic Association, vol. 73(3), pages 411-13, June.
  8. Benoit, Jean-Pierre, 1985. "Innovation and Imitation in a Duopoly," Review of Economic Studies, Blackwell Publishing, vol. 52(1), pages 99-106, January. [Downloadable!] (restricted)
  9. Pakes, Ariel S, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," Econometrica, Econometric Society, vol. 54(4), pages 755-84, July. [Downloadable!] (restricted)
  10. Adam B. Jaffe, 1999. "The U.S. Patent System in Transition: Policy Innovation and the Innovation Process," NBER Working Papers 7280, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. 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. [Downloadable!] (restricted)
  12. McAleer, Michael & Pagan, Adrian, 1985. "What Will Take the Con Out of Econometrics?," CEPR Discussion Papers 39, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  13. McAleer, Michael, 2005. "Automated Inference And Learning In Modeling Financial Volatility," Econometric Theory, Cambridge University Press, vol. 21(01), pages 232-261, February. [Downloadable!]
  14. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August. [Downloadable!] (restricted)
  15. Acs, Zoltan J. & Anselin, Luc & Varga, Attila, 2002. "Patents and innovation counts as measures of regional production of new knowledge," Research Policy, Elsevier, vol. 31(7), pages 1069-1085, September. [Downloadable!] (restricted)
  16. Jean O. Lanjouw & Ariel Pakes & Jonathan Putnam, 1996. "How to Count Patents and Value Intellectual Property: Uses of Patent Renewal and Application Data," NBER Working Papers 5741, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Oh, Donghyun & Heshmati, Almas & Lööf, Hans, 2009. "Total Factor Productivity of Korean Manufacturing Industries: Comparison of Competing Models with Firm-Level Data," Working Paper Series in Economics and Institutions of Innovation 201, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies. [Downloadable!]
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