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Medium Term Business Cycles

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Listed:
  • Diego Comin
  • Mark Gertler

Abstract

Over the postwar, the U.S., Europe and Japan have experienced what may be thought of as medium frequency oscillations between persistent periods of robust growth and persistent periods of relative stagnation. These medium frequency movements, further, appear to bear some relation to the high frequency volatility of output. That is, periods of stagnation are often associated with significant recessions, while persistent booms typically are either free of recessions or are interrupted only by very modest downturns. In this paper we explore the idea of medium term cycles, which we define as reflecting the sum of the high and medium frequency variation in the data. We develop a methodology for identifying these kinds of fluctuations and then show that a number of important macroeconomic time series exhibit significant medium term cycles. The cycles feature strong procyclical movements in both disembodied and embodied technological change, research & development, and the efficiency of resource utilization. We then develop a model to explain the medium term cycle that features both disembodied and embodied endogenous technological change, along with countercyclical markups and variable factor utilization. The model is able to generate medium term fluctuations in output, technological change, and resource utilization that resemble the data, with a non-technological shock as the exogenous disturbance. In particular the model offers a unified approach to explaining both high and medium frequency variation in aggregate business activity.

Suggested Citation

  • Diego Comin & Mark Gertler, 2003. "Medium Term Business Cycles," NBER Working Papers 10003, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:10003
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    References listed on IDEAS

    as
    1. repec:ucp:bknber:9780226304557 is not listed on IDEAS
    2. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
    3. Hall, Robert E, 1997. "Macroeconomic Fluctuations and the Allocation of Time," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 223-250, January.
    4. Jordi Gali & Fabrizio Zilibotti, 1995. "Endogenous Growth and Poverty Traps in a Cournotian Model," Annals of Economics and Statistics, GENES, issue 37-38, pages 197-213.
    5. Frank Smets & Raf Wouters, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    6. repec:fth:harver:1473 is not listed on IDEAS
    7. Diego Comin, 2004. "R&D: A Small Contribution to Productivity Growth," Journal of Economic Growth, Springer, vol. 9(4), pages 391-421, December.
    8. Jones, Charles I & Williams, John C, 2000. "Too Much of a Good Thing? The Economics of Investment in R&D," Journal of Economic Growth, Springer, vol. 5(1), pages 65-85, March.
    9. Casey B. Mulligan, 2002. "A Century of Labor-Leisure Distortions," NBER Working Papers 8774, National Bureau of Economic Research, Inc.
    10. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    11. Evans, Geroge W & Honkapohja, Seppo & Romer, Paul, 1998. "Growth Cycles," American Economic Review, American Economic Association, vol. 88(3), pages 495-515, June.
    12. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    13. Griliches, Zvi, 1988. "Productivity Puzzles and R&D: Another Nonexplanation," Journal of Economic Perspectives, American Economic Association, vol. 2(4), pages 9-21, Fall.
    14. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    15. Julio J. Rotemberg, 2003. "Stochastic Technical Progress, Smooth Trends, and Nearly Distinct Business Cycles," American Economic Review, American Economic Association, vol. 93(5), pages 1543-1559, December.
    16. Caballero, Ricardo J. & Hammour, Mohamad L., 1998. "Jobless growth: appropriability, factor substitution, and unemployment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 48(1), pages 51-94, June.
    17. Jordi Galí & Mark Gertler & J. David López-Salido, 2007. "Markups, Gaps, and the Welfare Costs of Business Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 44-59, November.
    18. Comin, Diego & Mulani, Sunil, 2009. "A theory of growth and volatility at the aggregate and firm level," Journal of Monetary Economics, Elsevier, vol. 56(8), pages 1023-1042, November.
    19. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
    20. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    21. Julio J. Rotemberg & Michael Woodford, 1993. "Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets," NBER Working Papers 4502, National Bureau of Economic Research, Inc.
    22. 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.
    23. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    24. Sergio Rebelo, 2005. "Real Business Cycle Models: Past, Present and Future," RCER Working Papers 522, University of Rochester - Center for Economic Research (RCER).
    25. Comin Diego A, 2006. "Using Investment Data to Assess the Importance of Price Mismeasurement," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(1), pages 1-42, April.
    26. 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.
    27. Pakes, Ariel & Schankerman, Mark A., 1978. "The Rate of Obsolescence of Knowledge, Research Gestation Labs, and the Private Rate of Return to Research Resources," Working Papers 78-13, C.V. Starr Center for Applied Economics, New York University.
    28. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Business Cycle Accounting," Econometrica, Econometric Society, vol. 75(3), pages 781-836, May.
    29. 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.
    30. Jason G. Cummins & Giovanni L. Violante, 2002. "Investment-Specific Technical Change in the US (1947-2000): Measurement and Macroeconomic Consequences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 243-284, April.
    31. Marianne Baxter & Dorsey Farr, 2001. "Variable Factor Utilization and International Business Cycles," NBER Working Papers 8392, National Bureau of Economic Research, Inc.
    32. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 719-751.
    33. Gadi Barlevy, 2004. "On the timing of innovation in stochastic Schumpeterian growth models," Working Paper Series WP-04-11, Federal Reserve Bank of Chicago.
    34. Philippe Aghion & Gilles Saint‐Paul, 1998. "Uncovering Some Causal Relationships Between Productivity Growth and the Structure of Economic Fluctuations: A Tentative Survey," LABOUR, CEIS, vol. 12(2), pages 279-303, July.
    35. King, Robert G. & Rebelo, Sergio T., 1999. "Resuscitating real business cycles," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 14, pages 927-1007, Elsevier.
    36. Bart Hobijn, 2001. "Is equipment price deflation a statistical artifact?," Staff Reports 139, Federal Reserve Bank of New York.
    37. repec:adr:anecst:y:1995:i:37-38:p:10 is not listed on IDEAS
    38. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    39. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    40. Oliver J. Blanchard, 1997. "The Medium Run," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(2), pages 89-158.
    41. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1, March.
    42. Mandfield, Edwin, 1989. "The diffusion of industrial robots in Japan and the United States," Research Policy, Elsevier, vol. 18(4), pages 183-192, August.
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    More about this item

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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