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Product Demand, Cost Of Production, Spillovers And The Social Rate Or Return To R&D

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  • Bernstein, Jeffrey I.
  • Nadiri, M. Ishaq

Abstract

The purpose of this paper is to develop and estimate a model of production with endogenous technological change. Technological change arises from R&D capital accumulation decisions. These decisions respond to market and government incentives and generate R&D capital spillovers. A spillover network of senders and receivers is estimated. The network shows that each receiving industry is affected by a distinct set of R&D sources and each sending industry affects a unique set of receivers. For the receivers, spillovers generally expand product markets, lower product prices, increase production costs and input demands. For the sources, significant R&D spillovers cause the social rates of return to R&D capital to be substantially above the private returns.

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Bibliographic Info

Paper provided by C.V. Starr Center for Applied Economics, New York University in its series Working Papers with number 90-53.

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Length: 45 pages
Date of creation: 1990
Date of revision:
Handle: RePEc:cvs:starer:90-53

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Postal: C.V. Starr Center, Department of Economics, New York University, 19 W. 4th Street, 6th Floor, New York, NY 10012
Phone: (212) 998-8936
Fax: (212) 995-3932
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Web page: http://econ.as.nyu.edu/object/econ.cvstarr.html
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Postal: C.V. Starr Center, Department of Economics, New York University, 19 W. 4th Street, 6th Floor, New York, NY 10012
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Related research

Keywords: estimator ; economic models ; spillover effect ; research and development;

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References

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  1. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
  2. Griliches, Zvi & Lichtenberg, Frank, 1984. "Interindustry Technology Flows and Productivity Growth: A Re-examination," The Review of Economics and Statistics, MIT Press, vol. 66(2), pages 324-29, May.
  3. Pindyck, Robert S & Rotemberg, Julio J, 1983. "Dynamic Factor Demands and the Effects of Energy Price Shocks," American Economic Review, American Economic Association, vol. 73(5), pages 1066-79, December.
  4. Spence, Michael, 1984. "Cost Reduction, Competition, and Industry Performance," Econometrica, Econometric Society, vol. 52(1), pages 101-21, January.
  5. Schankerman, Mark & Nadiri, M. Ishaq, 1986. "A test of static equilibrium models and rates of return to quasi-fixed factors, with an application to the Bell system," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 97-118.
  6. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages S71-102, October.
  7. Jeffrey I. Bernstein, 1988. "Costs of Production, Intra- and Interindustry R&D Spillovers: Canadian Evidence," Canadian Journal of Economics, Canadian Economics Association, vol. 21(2), pages 324-47, May.
  8. Richard Levin & Peter C. Reiss, 1984. "Tests of a Schumpeterian Model of R&D and Market Structure," NBER Chapters, in: R & D, Patents, and Productivity, pages 175-208 National Bureau of Economic Research, Inc.
  9. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1988. "Interindustry R&D Spillovers, Rates Of Return, and Production In High-Tech Industries," NBER Working Papers 2554, National Bureau of Economic Research, Inc.
  10. Bernstein, Jeffrey I & Nadiri, M Ishaq, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," Review of Economic Studies, Wiley Blackwell, vol. 56(2), pages 249-67, April.
  11. Richard C. Levin & Peter C. Reiss, 1988. "Cost-Reducing and Demand-Creating R&D with Spillovers," RAND Journal of Economics, The RAND Corporation, vol. 19(4), pages 538-556, Winter.
  12. Aghion, P. & Howitt, P., 1989. "A Model Of Growth Through Creative Destruction," UWO Department of Economics Working Papers 8904, University of Western Ontario, Department of Economics.
  13. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-86, September.
  14. Adam B. Jaffe, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits and Market Value," NBER Working Papers 1815, National Bureau of Economic Research, Inc.
  15. Dale W. Jorgenson & Jean-Jacques Laffont, 1974. "Efficient Estimation of Nonlinear Simultaneous Equations with Additive Disturbances," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 65-90 National Bureau of Economic Research, Inc.
  16. Evenson, Robert E & Kislev, Yoav, 1973. "Research and Productivity in Wheat and Maize," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1309-29, Nov.-Dec..
  17. Pierre A. Mohnen & M. Ishaq Nadiri & Ingmar R. Prucha, 1984. "R&D, Production Structure, and Productivity Growth in the U.S., Japaneseand German Manufacturing Sectors," NBER Working Papers 1264, National Bureau of Economic Research, Inc.
  18. Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-34, November.
  19. Morrison, C. J. & Berndt, E. R., 1981. "Short-run labor productivity in a dynamic model," Journal of Econometrics, Elsevier, vol. 16(3), pages 339-365, August.
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