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Inventory investment and output volatility

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Listed author(s):
  • Owen Irvine
  • Scott Schuh
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    Abstract

    This paper reports the results of a detailed examination of the hypothesis that improved inventory management and production techniques are responsible for the decline in the volatility of U.S. GDP growth. Our innovations are to look at the data at a finer level of disaggregation than previous studies, to exploit cross-sectional heterogeneity to obtain clearer identification of this hypothesis, and to provide a complete accounting of the change in GDP volatility. Changes in inventory behavior can account directly for only up to half of the total reduction in GDP volatility. Cross-section evidence from the manufacturing and trade sector indicates that change in the covariance structure among industries accounts for most of the remaining portion of the reduction in GDP volatility. Sales have become less correlated among industries and inventory investment has become more correlated. These distinctive changes in co-movement of industries suggest that development and management of supply chains may be an indirect channel through which changes in inventory management and production techniques have influenced GDP volatility.

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    File URL: http://www.bostonfed.org/economic/wp/wp2002/wp026.htm
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    Paper provided by Federal Reserve Bank of Boston in its series Working Papers with number 02-6.

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    Date of creation: 2002
    Handle: RePEc:fip:fedbwp:02-6
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    Keywords: Gross domestic product;

    This paper has been announced in the following NEP Reports:

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    1. Karl Whelan, 2000. "A guide to the use of chain aggregated NIPA data," Finance and Economics Discussion Series 2000-35, Board of Governors of the Federal Reserve System (U.S.).
    2. Humphreys, Brad R. & Maccini, Louis J. & Schuh, Scott, 2001. "Input and output inventories," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 347-375, April.
    3. Margaret M. McConnell & Patricia C. Mosser & Gabriel Perez Quiros, 1999. "A decomposition of the increased stability of GDP growth," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 5(Aug).
    4. Valerie A. Ramey & Daniel J. Vine, 2004. "Tracking the Source of the Decline in GDP Volatility: An Analysis of the Automobile Industry," NBER Working Papers 10384, National Bureau of Economic Research, Inc.
    5. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed and Why?," NBER Chapters, in: NBER Macroeconomics Annual 2002, Volume 17, pages 159-230 National Bureau of Economic Research, Inc.
    6. Kim, Chang-Jin & Nelson, Charles R & Piger, Jeremy, 2004. "The Less-Volatile U.S. Economy: A Bayesian Investigation of Timing, Breadth, and Potential Explanations," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 80-93, January.
    7. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
    8. James A. Kahn & Margaret M. McConnell, 2002. "Has inventory volatility returned? A look at the current cycle," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 8(May).
    9. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
    10. James A. Kahn & Margaret M. McConnell & Gabriel Perez-Quiros, 2002. "On the causes of the increased stability of the U.S. economy," Economic Policy Review, Federal Reserve Bank of New York, issue May, pages 183-202.
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    Cited by:

    1. Valerie A. Ramey & Daniel J. Vine, 2004. "Tracking the Source of the Decline in GDP Volatility: An Analysis of the Automobile Industry," NBER Working Papers 10384, National Bureau of Economic Research, Inc.
    2. Adam Elbourne & Debby Lanser & Bert Smid & Martin Vromans, 2008. "Macroeconomic resilience in a DSGE model," CPB Discussion Paper 96, CPB Netherlands Bureau for Economic Policy Analysis.

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