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Technology Diffusion and Business Cycle Asymmetry

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  • Toshiya Ishikawa

Abstract

The goal of this paper is to theoretically account for business cycle asymmetries of deepness and steepness. The former means that recessions are deeper than expansions are tall, and the latter that recessions are steeper than expansions. In this paper I introduce the process of technology diffusion and learning like general purpose technology in the framework of real business cycles. I assume that a positive technology shock diffuses over the economy with some time lag, while a negative one does without any lag. Generally, a positive shock can be literally interpreted as an innovation to technology. Economic agents may take some time to adopt a new technology and learn how to use the technology efficiently. In contrast, a negative shock can immediately decrease the level or growth of productivity. No learning is needed to suffer a loss of productivity induced by a negative shock. A positive shock makes the near-future level of productivity higher than the present level as a result of technology diffusion. Because of intertemporal substitution behavior, it leads to a recession in the present and then the subsequent expansion. In contrast, a negative innovation is assumed to immediately generate a recession. When an S-shaped diffusion is assumed, a positive shock can induce a deeper and steeper recession. This gives a theoretical explanation of deepness and steepness asymmetries.

Suggested Citation

  • Toshiya Ishikawa, 2004. "Technology Diffusion and Business Cycle Asymmetry," DEGIT Conference Papers c009_016, DEGIT, Dynamics, Economic Growth, and International Trade.
  • Handle: RePEc:deg:conpap:c009_016
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    File URL: http://degit.sam.sdu.dk/papers/degit_09/C009_016.pdf
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    References listed on IDEAS

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    1. Helpman, Elhanan & Rangel, Antonio, 1999. "Adjusting to a New Technology: Experience and Training," Journal of Economic Growth, Springer, vol. 4(4), pages 359-383, December.
    2. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, Oxford University Press, vol. 111(3), pages 719-751.
    3. Wynne, Mark A. & Balke, Nathan S., 1992. "Are deep recessions followed by strong recoveries?," Economics Letters, Elsevier, vol. 39(2), pages 183-189, June.
    4. Kim, Chang-Jin & Nelson, Charles R, 1999. "Friedman's Plucking Model of Business Fluctuations: Tests and Estimates of Permanent and Transitory Components," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 317-334, August.
    5. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-1174, December.
    6. Christiano, Lawrence J. & Eichenbaum, Martin, 1990. "Unit roots in real GNP: Do we know, and do we care?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 7-61, January.
    7. repec:fth:simfra:95-08 is not listed on IDEAS
    8. Sichel, Daniel E, 1993. "Business Cycle Asymmetry: A Deeper Look," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 224-236, April.
    9. Finn, Mary G., 1995. "Variance properties of Solow's productivity residual and their cyclical implications," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 1249-1281.
    10. repec:fth:waterl:9503 is not listed on IDEAS
    11. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1995. "Capital Utilization and Returns to Scale," NBER Chapters,in: NBER Macroeconomics Annual 1995, Volume 10, pages 67-124 National Bureau of Economic Research, Inc.
    12. Ramsey, James B & Rothman, Philip, 1996. "Time Irreversibility and Business Cycle Asymmetry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 1-21, February.
    13. Elhanan Helpman & Manuel Trajtenberg, 1996. "Diffusion of General Purpose Technologies," NBER Working Papers 5773, National Bureau of Economic Research, Inc.
    14. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : II. New directions," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 309-341.
    15. Martin Chalkley & In Ho Lee, 1998. "Learning and Asymmetric Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(3), pages 623-645, July.
    16. Helpman, Elhanan & Trajtenberg, Manuel, 1994. "A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies," CEPR Discussion Papers 1080, C.E.P.R. Discussion Papers.
    17. Jeremy Greenwood & Boyan Jovanovic, 2001. "Accounting for Growth," NBER Chapters,in: New Developments in Productivity Analysis, pages 179-224 National Bureau of Economic Research, Inc.
    18. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
    19. Simon Gilchrist & John C. Williams, 2000. "Putty-Clay and Investment: A Business Cycle Analysis," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 928-960, October.
    20. Randal Verbrugge Randal Verbrugge, 1997. "Investigating Cyclical Asymmetries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(1), pages 1-10, April.
    21. David Andolfatto & Glenn MacDonald, 1998. "Technology Diffusion and Aggregate Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 338-370, April.
    22. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    23. W.A. Razzak, 2001. "Business Cycle Asymmetries: International Evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(1), pages 230-243, January.
    24. Hansen, Gary D., 1997. "Technical progress and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 21(6), pages 1005-1023, June.
    25. Bils, Mark & Cho, Jang-Ok, 1994. "Cyclical factor utilization," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 319-354, April.
    26. Durland, J Michael & McCurdy, Thomas H, 1994. "Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 279-288, July.
    27. Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-328, April.
    28. Walde, Klaus, 2002. "The economic determinants of technology shocks in a real business cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 27(1), pages 1-28, November.
    29. Peter Klenow, 1998. "Learning Curves and the Cyclical Behavior of Manufacturing Industries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 531-550, April.
    30. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Keywords: Technology Diffusion; Intertemporal Substitution; Real Business Cycles.;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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