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Why Do Real and Nominal Inventory-Sales Ratios Have Different Trends?

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  • Ramey, Valerie A
  • Vine, Daniel J

Abstract

This note explains the diverging trends between real and nominal aggregate inventory-sales ratios. The combined effect of two features of the data explains the divergence. First, while aggregate sales include both goods and services, inventories include only goods. Second, there has been a strong secular decrease in the relative price of goods. The combination of these two factors causes the real and nominal aggregate inventory-sales ratios to have different trends.

Suggested Citation

  • Ramey, Valerie A & Vine, Daniel J, 2004. "Why Do Real and Nominal Inventory-Sales Ratios Have Different Trends?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(5), pages 959-963, October.
  • Handle: RePEc:mcb:jmoncb:v:36:y:2004:i:5:p:959-63
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    References listed on IDEAS

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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. Irvine, F. Owen, 2003. "Long term trends in US inventory to sales ratios," International Journal of Production Economics, Elsevier, vol. 81(1), pages 27-39, January.
    3. 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. Oleksiy Kryvtsov & Virgiliu Midrigan, 2013. "Inventories, Markups, and Real Rigidities in Menu Cost Models," Review of Economic Studies, Oxford University Press, vol. 80(1), pages 249-276.
    2. Yi Wen, 2011. "Input and Output Inventory Dynamics," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(4), pages 181-212, October.
    3. Matteo Iacoviello & Fabio Schiantarelli & Scott Schuh, 2011. "Input And Output Inventories In General Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 1179-1213, November.
    4. Stephen G Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2005. "Assessing the Sources of Changes in the Volatility of Real Growth," RBA Annual Conference Volume,in: Christopher Kent & David Norman (ed.), The Changing Nature of the Business Cycle Reserve Bank of Australia.
    5. Jung, YongSeung & Yun, Tack, 2005. "Monetary Policy Shocks, Inventory Dynamics, and Price-Setting Behavior," Santa Cruz Department of Economics, Working Paper Series qt3sf4q6nn, Department of Economics, UC Santa Cruz.
    6. Aubhik Khan & Julia K. Thomas, 2004. "Modeling Inventories Over the Business Cycle," NBER Working Papers 10652, National Bureau of Economic Research, Inc.
    7. 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.
    8. Bivin, David G., 2008. "Production management, output volatility, and good luck," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2118-2136, July.
    9. Adam Fein, 2004. "The Myth of Decline: A New Perspective on the Supply Chain and Changing Inventory-Sales Ratios," Working Papers 04-18, Center for Economic Studies, U.S. Census Bureau, revised Feb 2005.
    10. Elias Sanidas, 2014. "How SMEs or larger firms and industries’ productivity respond to technology: a panel data study," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 64(1), pages 16-28, January-M.

    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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