IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Measuring noise in inventory models

  • Durlauf, Steven N.
  • Maccini, Louis J.

This paper has two purposes. One is to assess different models of inventory behavior in terms of their ability to well approximate the realized data on inventories. We do this initially for the pure production smoothing model and then for a sequence of generalizations of the model. Our analysis both performs specification tests as well as measures the deviations of the data from each null model, which we refer to as model noise. This involves the introduction of a noise ratio which provides a metric for measuring the magnitude of the noise component of the data. A second purpose is to explore whether observed cost shocks, including in particular carefully measured series on raw materials prices, can be helpful in explaining inventory movements. We find that the basic production level smoothing model of inventories, augmented by buffer stock motives, observed cost shocks, properly measured, and to a lesser extent stockout avoidance motives, appears to well approximate monthly inventory data.

(This abstract was borrowed from another version of this item.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 36 (1995)
Issue (Month): 1 (August)
Pages: 65-89

in new window

Handle: RePEc:eee:moneco:v:36:y:1995:i:1:p:65-89
Contact details of provider: Web page:

References listed on IDEAS
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.:

as in new window
  1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  2. Olivier J. Blanchard, 1982. "The Production and Inventory Behavior of the American Automobile Industry," NBER Working Papers 0891, National Bureau of Economic Research, Inc.
  3. Eichenbaum, Martin, 1983. "A rational expectations equilibrium model of inventories of finished goods and employment," Journal of Monetary Economics, Elsevier, vol. 12(2), pages 259-277.
  4. Ray C. Fair, 1989. "The Production Smoothing Model is Alive and Well," NBER Working Papers 2877, National Bureau of Economic Research, Inc.
  5. Jeffrey C. Fuhrer & George R. Moore & Scott Schuh, 1993. "Estimating the linear-quadratic inventory model: maximum likelihood versus generalized method of moments," Finance and Economics Discussion Series 93-11, Board of Governors of the Federal Reserve System (U.S.).
  6. Haltiwanger, John C. & Maccini, Louis J., 1989. "Inventories, orders, temporary and permanent layoffs: An econometric analysis," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 30(1), pages 301-366, January.
  7. Eichenbaum, Martin, 1989. "Some Empirical Evidence on the Production Level and Production Cost Smoothing Models of Inventory Investment," American Economic Review, American Economic Association, vol. 79(4), pages 853-64, September.
  8. Gertler, M. & Gilchrist, S., 1993. "Monetary Policy, Business Cycles and the Behavior of Small Manufacturing Firms," Working Papers 93-02, C.V. Starr Center for Applied Economics, New York University.
  9. Miron, Jeffrey A & Zeldes, Stephen P, 1988. "Seasonality, Cost Shocks, and the Production Smoothing Models of Inventories," Econometrica, Econometric Society, vol. 56(4), pages 877-908, July.
  10. Ramey, Valerie A, 1991. "Nonconvex Costs and the Behavior of Inventories," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 306-34, April.
  11. Alan S. Blinder, 1986. "More on the Speed of Adjustment in Inventory Models," NBER Working Papers 1913, National Bureau of Economic Research, Inc.
  12. Spencer Krane & Steven Braun, 1990. "Production smoothing evidence from physical-product data," Working Paper Series / Economic Activity Section 103, Board of Governors of the Federal Reserve System (U.S.).
  13. Ghali, Moheb A, 1987. "Seasonality, Aggregation and the Testing of the Production Smoothing Hypothesis," American Economic Review, American Economic Association, vol. 77(3), pages 464-69, June.
  14. Alan S. Blinder & Louis J. Maccini, 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.
  15. Robert E. Carpenter & Steven M. Fazzari & Bruce C. Petersen, 1994. "Inventory (Dis)Investment, Internal Finance Fluctuations, and the Business Cycle," Macroeconomics 9401001, EconWPA.
  16. Durlauf, S.N. & Hooker, M.A., 1993. "Misspecification Versus Bubbles in the Cagan Hyperinflation Model," Working papers 9330, Wisconsin Madison - Social Systems.
  17. Alan S. Blinder & Louis J. Maccini, 1990. "The Resurgence of Inventory Research: What Have We Learned?," NBER Working Papers 3408, National Bureau of Economic Research, Inc.
  18. Kenneth D. West, 1987. "Order Backlogs and Production Smoothing," NBER Working Papers 2385, National Bureau of Economic Research, Inc.
  19. Kenneth D. West, 1993. "Inventory Models," NBER Technical Working Papers 0143, National Bureau of Economic Research, Inc.
  20. West, Kenneth D, 1986. "A Variance Bounds Test of the Linear Quadratic Inventory Model," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 374-401, April.
  21. Maccini, Louis J & Rossana, Robert J, 1984. "Joint Production, Quasi-Fixed Factors of Production, and Investement in Finished Goods Inventories," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 16(2), pages 218-36, May.
  22. Kashyap, Anil K & Wilcox, David W, 1993. "Production and Inventory Control at the General Motors Corporation during the 1920's and 1930's," American Economic Review, American Economic Association, vol. 83(3), pages 383-401, June.
  23. West, Kenneth D., 1983. "A note on the econometric use of constant dollar inventory series," Economics Letters, Elsevier, vol. 13(4), pages 337-341.
  24. Kenneth D. West & David W. Wilcox, 1993. "Some evidence on finite sample behavior of an instrumental variables estimator of the linear quadratic inventory model," Finance and Economics Discussion Series 93-29, Board of Governors of the Federal Reserve System (U.S.).
  25. Kahn, James A, 1992. "Why Is Production More Volatile Than Sales? Theory and Evidence on the Stockout-Avoidance Motive for Inventory-Holding," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 481-510, May.
  26. Rossana, Robert J, 1990. "Interrelated Demands for Buffer Stocks and Productive Inputs: Estimates for Two-Digit Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 19-29, February.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:moneco:v:36:y:1995:i:1:p:65-89. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.