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Inventory Models

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  • Kenneth D. West

Abstract

Econometric aspects of recent research on inventory models are surveyed. The discussion emphasizes issues relevant to instrumental variables estimation of a first order condition of the Holt et al. (1960) linear quadratic inventory model, including choice of instruments, covariance matrix estimation, methods for testing, and implications of unit root nonstationarity. The paper also briefly discusses estimation of a decision rule implied by the model, and, finally, the impliations for inventory models of some stylized facts about inventories.

Suggested Citation

  • Kenneth D. West, 1993. "Inventory Models," NBER Technical Working Papers 0143, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberte:0143
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    Cited by:

    1. West, Kenneth D & Wilcox, David W, 1996. "A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 281-293, July.
    2. John D Tsoukalas, 2005. "Modelling manufacturing inventories," Bank of England working papers 284, Bank of England.
    3. 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.).
    4. Durlauf, Steven N. & Maccini, Louis J., 1995. "Measuring noise in inventory models," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 65-89, August.
    5. Louis J. Maccini & Bartholomew J. Moore & Huntley Schaller, 2004. "The Interest Rate, Learning, and Inventory Investment," American Economic Review, American Economic Association, vol. 94(5), pages 1303-1327, December.
    6. Ian Small, 2000. "Inventory investment and cash flow," Bank of England working papers 112, Bank of England.
    7. Peeters, H. M. M., 1997. "The (mis-)specification of production costs in production smoothing models," Economics Letters, Elsevier, vol. 57(1), pages 69-77, November.
    8. Stephen G. Cecchetti & Anil K. Kashyap & David W. Wilcox, 1995. "Do Firms Smooth the Seasonal in Production in a Boom? Theory and Evidence," NBER Working Papers 5011, National Bureau of Economic Research, Inc.
    9. Craig Burnside & Martin Eichenbaum, 1994. "Small Sample Properties of Generalized Method of Moments Based Wald Tests," NBER Technical Working Papers 0155, National Bureau of Economic Research, Inc.
    10. Humphreys, Brad R. & Maccini, Louis J. & Schuh, Scott, 2001. "Input and output inventories," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 347-375, April.
    11. Scott Schuh, "undated". "Evidence on the Link between Firm-Level and Aggregate Inventory Behavior," Finance and Economics Discussion Series 1996-46, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    12. Gerhard Fenz & Martin Spitzer, 2005. "AQM – The Austrian Quarterly Model of the Oesterreichische Nationalbank," Working Papers 104, Oesterreichische Nationalbank (Austrian Central Bank).
    13. SaangJoon Baak, 2000. "Heterogeneous Expectations, Volatility and Welfare," Working Papers EMS_2000_01, Research Institute, International University of Japan.
    14. David Bivin, 2005. "Gauging the performance of the linear-quadratic inventory model," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1215-1231.
    15. Bivin, David G., 1996. "Bunching in the production process," Economics Letters, Elsevier, vol. 50(2), pages 259-263, February.

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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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