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Modeling inventories over the business cycle

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Author Info
Aubhik Khan
Julia K. Thomas

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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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  2. Mark Bils & James A. Kahn, 2000. "What Inventory Behavior Tells Us about Business Cycles," American Economic Review, American Economic Association, vol. 90(3), pages 458-481, June. [Downloadable!] (restricted)
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  3. 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. [Downloadable!]
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  4. Robert G. King & Sergio T. Rebelo, 2000. "Resuscitating Real Business Cycles," RCER Working Papers 467, University of Rochester - Center for Economic Research (RCER). [Downloadable!]
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  11. Daniele Coen-Pirani, 2003. "Microeconomic Inventory Behavior and Aggregate Inventory Dynamics," GSIA Working Papers 2003-E28, Carnegie Mellon University, Tepper School of Business. [Downloadable!]
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  14. Blinder, Alan S & Maccini, Louis J, 1991. "Taking Stock: A Critical Assessment of Recent Research on Inventories," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 73-96, Winter. [Downloadable!] (restricted)
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  16. Rogerson, Richard, 1988. "Indivisible labor, lotteries and equilibrium," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 3-16, January. [Downloadable!] (restricted)
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  18. Eichenbaum, Martin S., 1984. "Rational expectations and the smoothing properties of inventories of finished goods," Journal of Monetary Economics, Elsevier, vol. 14(1), pages 71-96, July. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Yi Wen, 2007. "Granger causality and equilibrium business cycle theory," Review, Federal Reserve Bank of St. Louis, issue May, pages 195-206. [Downloadable!]
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