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Input and output inventory dynamics

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  • Yi Wen
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Abstract

This paper develops an analytically-tractable general-equilibrium model of inventory dynamics based on a precautionary stockout-avoidance motive. The model’s predictions are broadly consistent with the U.S. business cycle and key features of inventory behavior, including (i) a large inventory stock-to-sales ratio and a small inventory investment-to-sales ratio in the long run, (ii) excess volatility of production relative to sales, (iii) procyclical inventory investment but countercyclical stock-to-sales ratio over the business cycle, and (iv) more volatile input inventories than output inventories. It is also shown that technological improvement of inventory management (that eliminates production/ordering lags) can increase, rather than decrease, the volatility of aggregate output. Key to this seemingly counter-intuitive result is that a stockout- avoidance motive leads to procyclical liquidity-value of inventories (hence, procyclical relative prices of output), which acts as an automatic stabilizer that discourages final sales in a boom and encourages final sales during a recession, thereby reducing the variability of GDP.

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Bibliographic Info

Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2008-008.

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Date of creation: 2009
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Handle: RePEc:fip:fedlwp:2008-008

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Keywords: Inventories ; Business cycles;

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Citations

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Cited by:
  1. Yi Wen, 2011. "Input and output inventory dynamics," Working Papers 2011-008, Federal Reserve Bank of St. Louis.
  2. Hyunseung Oh & Nicolas Crouzet, 2013. "Can news shocks account for the business-cycle dynamics of inventories?," 2013 Meeting Papers 504, Society for Economic Dynamics.
  3. Simona Mateut & Paul Mizen & Ydriss Ziane, . "No Going Back: How the Production Process Affects Access to Short-term Credit," Discussion Papers 12/14, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
  4. Louis J. Maccini & Bartholomew Moore & Huntley Schaller, 2013. "Inventory Behavior with Permanent Sales Shocks," Fordham Economics Discussion Paper Series dp2013-03, Fordham University, Department of Economics.
  5. Yi Pengfei Wang & Wen & Zhiwei Xu, 2012. "What inventories tell us about aggregate fluctuations -- a tractable approach to (S,s) policies," Working Papers 2012-059, Federal Reserve Bank of St. Louis.
  6. Lubik, Thomas A. & Sarte, Pierre-Daniel G. & Schwartzman, Felipe, 2014. "What Inventory Behavior Tells Us About How Business Cycles Have Changed," Working Paper 14-6, Federal Reserve Bank of Richmond.
  7. James A. Kahn, 2008. "Durable goods inventories and the Great Moderation," Staff Reports 325, Federal Reserve Bank of New York.
  8. Jochen Güntner, 2013. "The federal funds market, excess reserves, and unconventional monetary policy," Economics working papers 2013-12, Department of Economics, Johannes Kepler University Linz, Austria.
  9. Zhiwei Xu & Yi Wen & pengfei Wang, 2012. "When Do Inventories Destabilize the Economy? ---A Tractable Approach to (S,s) Policies," 2012 Meeting Papers 288, Society for Economic Dynamics.
  10. Marcel Förster, 2014. "An Empirical Analysis of Business Cycles in a New Keynesian Model with Inventories," MAGKS Papers on Economics 201413, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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