IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/31881.html
   My bibliography  Save this paper

A model of technological progress in the microprocessor industry

Author

Listed:
  • Pillai, Unni

Abstract

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.

Suggested Citation

  • Pillai, Unni, 2011. "A model of technological progress in the microprocessor industry," MPRA Paper 31881, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:31881
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/31881/1/MPRA_paper_31881.pdf
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Richard E. Baldwin & Paul Krugman, 1986. "Market Access and International Competition: A Simulation Study of 16K Random Access Memories," NBER Working Papers 1936, National Bureau of Economic Research, Inc.
    4. 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.
    5. John Sutton, 2001. "Technology and Market Structure: Theory and History," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262692643, January.
    6. 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.
    7. Robert J. Gordon, 2002. "Technology and Economic Performance in the American Economy," NBER Working Papers 8771, National Bureau of Economic Research, Inc.
    8. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    9. 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.
    10. 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.
    11. 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.
    12. Ana Aizcorbe, 2006. "Why Did Semiconductor Price Indexes Fall So Fast in the 1990s? A Decomposition," Economic Inquiry, Western Economic Association International, vol. 44(3), pages 485-496, July.
    13. Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," Review of Economic Studies, Oxford University Press, vol. 45(3), pages 511-518.
    14. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    15. William D. Nordhaus, 2001. "The Progress of Computing," Cowles Foundation Discussion Papers 1324, Cowles Foundation for Research in Economics, Yale University.
    16. Ana Aizcorbe & Samuel Kortum, 2005. "Moore's Law and the Semiconductor Industry: A Vintage Model," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(4), pages 603-630, December.
    17. Ana Aizcorbe, 2005. "Moore's Law, Competition, and Intel's Productivity in the Mid-1990s," American Economic Review, American Economic Association, vol. 95(2), pages 305-308, May.
    18. 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.
    19. Minjae Song, 2007. "Measuring consumerwelfareinthe CPU market: anapplication of the pure-characteristics demand model," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 429-446, June.
    20. Ana Aizcorbe, 2005. "Moore's Law, Competition and Intel's Productivity in the 1990s," Industrial Organization 0502003, EconWPA.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gilbert Cette, 2014. "Does ICT Remain a Powerful Engine of Growth," Post-Print hal-01463929, HAL.
    2. David M. Byrne & Stephen D. Oliner & Daniel E. Sichel, 2015. "How Fast are Semiconductor Prices Falling?," NBER Working Papers 21074, National Bureau of Economic Research, Inc.
    3. John G. Fernald, 2015. "Productivity and Potential Output before, during, and after the Great Recession," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 1-51.
    4. Samuel Kortum & Unni Pillai, 2014. "Comment on "Productivity and Potential Output Before, During, and After the Great Recession"," NBER Chapters,in: NBER Macroeconomics Annual 2014, Volume 29, pages 52-59 National Bureau of Economic Research, Inc.
    5. Gonzalo Castex & Evgenia Kogan Dechter, 2014. "The Changing Roles of Education and Ability in Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 685-710.
    6. Gilbert CETTE, 2015. "Which Role for ICTs as a Productivity Driver Over the Last Years and the Next Future?," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(100), pages 65-83, 4th quart.
    7. David M. Byrne & Stephen D. Oliner & Daniel E. Sichel, 2013. "Is the Information Technology Revolution Over?," International Productivity Monitor, Centre for the Study of Living Standards, vol. 25, pages 20-36, Spring.
    8. Dale W. Jorgenson & Mun S. Ho & Jon D. Samuels, 2017. "Educational Attainment and the Revival of U.S. Economic Growth," NBER Chapters,in: Education, Skills, and Technical Change: Implications for Future US GDP Growth National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Technology Adoption; Microprocessors;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:31881. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.