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Modeling inventories over the business cycle

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  • Aubhik Khan
  • Julia K. Thomas

Abstract

We search for useful models of aggregate fluctuations with inventories. We focus exclusively on dynamic stochastic general equilibrium models that endogenously give rise to inventory investment and evaluate two leading candidates: the (S,s) model and the stockout avoidance model. Each model is examined under both technology shocks and preference shocks, and its performance gauged by its ability to explain the observed magnitude of inventories in the U.S. economy, alongside other empirical regularities, such as the procyclicality of inventory investment and its positive correlation with sales. We find that the (S,s) model is far more consistent with the behavior of aggregate inventories in the postwar U.S. when aggregate fluctuations arise from technology, rather than preference, shocks. The converse is true for the stockout avoidance model. Overall, while the (S,s) model performs well with respect to the inventory facts and other business cycle regularities, the stockout avoidance model does not. There, the essential motive for stocks is insufficient to generate inventory holdings near the data without destroying the model’s performance along other important margins. Finally, the stockout avoidance model appears incapable of sustaining inventories alongside capital. This suggests a fundamental problem in using reduced-form inventory models with stocks rationalized by this motive

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Paper provided by Federal Reserve Bank of Philadelphia in its series Working Papers with number 04-13.

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Date of creation: 2004
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Handle: RePEc:fip:fedpwp:04-13

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Keywords: Inventories ; Business cycles;

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  1. Aubhik Khan & Julie K. Thomas, 2003. "Inventories and the business cycle: an equilibrium analysis of (S,s) policies," Staff Report 329, Federal Reserve Bank of Minneapolis.
  2. Fisher, J.D.M. & Hornstein, A., 1995. "(S,s)Inventory Policies in General Equilibrium," UWO Department of Economics Working Papers 9514, University of Western Ontario, Department of Economics.
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  17. Rogerson, Richard, 1988. "Indivisible labor, lotteries and equilibrium," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 3-16, January.
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  22. Daniele Coen-Pirani, 2003. "Microeconomic Inventory Behavior and Aggregate Inventory Dynamics," GSIA Working Papers 2003-E28, Carnegie Mellon University, Tepper School of Business.
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Cited by:
  1. Bivin, David G., 2008. "Production stability in a supply-chain environment," International Journal of Production Economics, Elsevier, vol. 114(1), pages 265-275, July.
  2. Marcel Förster, 2013. "The Great Moderation: Inventories, Shocks or Monetary Policy?," MAGKS Papers on Economics 201348, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  3. Yi Wen, 2006. "Granger causality and equilibrium business cycle theory," Working Papers 2005-038, Federal Reserve Bank of St. Louis.
  4. Liu, Wen-Hsien & Chung, Ching-Fan & Chang, Kuang-Liang, 2013. "Inventory change, capacity utilization and the semiconductor industry cycle," Economic Modelling, Elsevier, vol. 31(C), pages 119-127.

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