A Model of Technological Progress in the Microprocessor Industry
This paper develops a model of technological progress in the microprocessor industry that connects the seemingly disparate engineering and economic measures of technological progress. Technological progress in the microprocessor industry is driven by the repeated adoption of higher quality vintages of capital equipment produced by the upstream semiconductor equipment industry. The model characterizes the optimal adoption decision of a microprocessor firm and the resulting rate of technological progress. In conjunction with parameters estimated using a new dataset of the microprocessor industry, the model suggests explanations for the acceleration in technological progress during 1990-2000 and the subsequent slowdown.
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Volume (Year): 61 (2013)
Issue (Month): 4 (December)
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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.:
- Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," Review of Economic Studies, Oxford University Press, vol. 45(3), pages 511-518.
- Ariel Pakes & Paul McGuire, 1994.
"Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model,"
RAND Journal of Economics,
The RAND Corporation, vol. 25(4), pages 555-589, Winter.
- Ariel Pakes & Paul McGuire, 1992. "Computing Markov Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," NBER Technical Working Papers 0119, National Bureau of Economic Research, Inc.
- Ariel Pakes & Paul McGuire, 1992. "Computing Markov perfect Nash equilibria: numerical implications of a dynamic differentiated product model," Discussion Paper / Institute for Empirical Macroeconomics 58, Federal Reserve Bank of Minneapolis.
- Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.
- Brett Gordon & Ronald Goettler, 2010. "Does AMD spur Intel to innovate more?," 2010 Meeting Papers 151, Society for Economic Dynamics.
- Farzin, Y. H. & Huisman, K. J. M. & Kort, P. M., 1998. "Optimal timing of technology adoption," Journal of Economic Dynamics and Control, Elsevier, vol. 22(5), pages 779-799, May.
- Farzin, Y.H. & Huisman, K.J.M. & Kort, P.M., 1996. "Optimal Timing of Technology Adoption," Discussion Paper 1996-72, Tilburg University, Center for Economic Research.
- Farzin, Y.H. & Huisman, K.J.M. & Kort, P.M., 1998. "Optimal timing of technology adoption," Other publications TiSEM b1a028c3-4f0b-4e68-981f-a, Tilburg University, School of Economics and Management.
- Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
- William D. Nordhaus, 2001. "The Progress of Computing," Cowles Foundation Discussion Papers 1324, Cowles Foundation for Research in Economics, Yale University.
- Robert J. Gordon, 2002. "Technology and Economic Performance in the American Economy," NBER Working Papers 8771, National Bureau of Economic Research, Inc.
- Gordon, Robert J, 2002. "Technology and Economic Performance in the American Economy," CEPR Discussion Papers 3213, C.E.P.R. Discussion Papers.
- Oliner, Stephen D. & Sichel, Daniel E., 2003. "Information technology and productivity: where are we now and where are we going?," Journal of Policy Modeling, Elsevier, vol. 25(5), pages 477-503, July.
- Stephen D. Oliner & Daniel E. Sichel, 2002. "Information technology and productivity: where are we now and where are we going?," Economic Review, Federal Reserve Bank of Atlanta, issue Q3, pages 15-44.
- Stephen D. Oliner & Daniel E. Sichel, 2002. "Information technology and productivity: where are we now and where are we going?," Finance and Economics Discussion Series 2002-29, Board of Governors of the Federal Reserve System (U.S.).
- Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.
- Balcer, Yves & Lippman, Steven A., 1984. "Technological expectations and adoption of improved technology," Journal of Economic Theory, Elsevier, vol. 34(2), pages 292-318, December.
- Hoppe, Heidrun C, 2002. "The Timing of New Technology Adoption: Theoretical Models and Empirical Evidence," Manchester School, University of Manchester, vol. 70(1), pages 56-76, January.
- John Sutton, 2001. "Technology and Market Structure: Theory and History," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262692643, January.
- Ana Aizcorbe & Stephen D Oliner & Daniel E Sichel, 2008. "Shifting Trends in Semiconductor Prices and the Pace of Technological Progress," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 43(3), pages 23-39, July.
- Ana M. Aizcorbe & Stephen D. Oliner & Daniel E. Sichel, 2006. "Shifting trends in semiconductor prices and the pace of technological progress," Finance and Economics Discussion Series 2006-44, Board of Governors of the Federal Reserve System (U.S.).