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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.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0143.

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Date of creation: Sep 1993
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Publication status: published as Pesaran, M. and M. Wickens (eds.) Handbook of Applied Econometrics - Volume 1 (Macroeconomics), Oxford: Basil Blackwell, 1995.
Handle: RePEc:nbr:nberte:0143

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References

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  1. Kenneth D. West, 1989. "The Sources of Fluctuations in Aggregate Inventories and GNP," NBER Working Papers 2992, National Bureau of Economic Research, Inc.
  2. Rotemberg, Julio J & Saloner, Garth, 1989. "The Cyclical Behavior of Strategic Inventories," The Quarterly Journal of Economics, MIT Press, vol. 104(1), pages 73-97, February.
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  4. Cumby, Robert E & Huizinga, John, 1992. "Testing the Autocorrelation Structure of Disturbances in Ordinary Least Squares and Instrumental Variables Regressions," Econometrica, Econometric Society, vol. 60(1), pages 185-95, January.
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  6. Stock, James H. & West, Kenneth D., 1988. "Integrated regressors and tests of the permanent-income hypothesis," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 85-95, January.
  7. West, Kenneth D, 1988. "Asymptotic Normality, When Regressors Have a Unit Root," Econometrica, Econometric Society, vol. 56(6), pages 1397-1417, November.
  8. 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.
  9. Peter C.B. Phillips & Joon Y. Park, 1986. "Statistical Inference in Regressions with Integrated Processes: Part 2," Cowles Foundation Discussion Papers 819R, Cowles Foundation for Research in Economics, Yale University, revised Feb 1987.
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  11. Kenneth D. West & David W. Wilcox, 1995. "A Comparison of Alternative Instruments Variables Estimators of a Dynamic Linear Model," NBER Technical Working Papers 0176, National Bureau of Economic Research, Inc.
  12. Maccini, Louis J & Rossana, Robert J, 1981. "Investment in Finished Goods Inventories: An Analysis of Adjustment Speeds," American Economic Review, American Economic Association, vol. 71(2), pages 17-22, May.
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  17. Durlauf, Steven N. & Maccini, Louis J., 1995. "Measuring noise in inventory models," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 65-89, August.
  18. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-66, July.
  19. Charles R. Nelson & Richard Startz, 1988. "The Distribution of the Instrumental Variables Estimator and Its t-RatioWhen the Instrument is a Poor One," NBER Technical Working Papers 0069, National Bureau of Economic Research, Inc.
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  21. Martin S. Eichenbaum & Lars Peter Hansen & Kenneth J. Singleton, 1986. "A Time Series Analysis of Representative Agent Models of Consumption andLeisure Choice Under Uncertainty," NBER Working Papers 1981, National Bureau of Economic Research, Inc.
  22. Kenneth D. West & David W. Wilcox, 1994. "A Comparison of Alternative Instrumental Variables Estimators of Dynamic Linear Model," Macroeconomics 9410001, EconWPA.
  23. Andrew B. Abel, 1985. "Inventories, Stock-Outs, and Production Smoothing," NBER Working Papers 1563, National Bureau of Economic Research, Inc.
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  25. Granger, C W J & Lee, T H, 1989. "Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages S145-59, Supplemen.
  26. Newey, Whitney K & West, Kenneth D, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 631-53, October.
  27. Hansen, Lars Peter, 1985. "A method for calculating bounds on the asymptotic covariance matrices of generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 203-238.
  28. 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.).
  29. Ogaki, M., 1992. "An Introduction to the Generalized Method of Moments," RCER Working Papers 314, University of Rochester - Center for Economic Research (RCER).
  30. Hansen, Bruce E, 1992. "Consistent Covariance Matrix Estimation for Dependent Heterogeneous Processes," Econometrica, Econometric Society, vol. 60(4), pages 967-72, July.
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  34. repec:att:wimass:9114 is not listed on IDEAS
  35. Hall, Alastair, 1993. "Induced seasonality and production-smoothing models of inventory behavior," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 169-172.
  36. West, Kenneth D., 1986. "Full-versus limited-information estimation of a rational-expectations model: Some numerical comparisons," Journal of Econometrics, Elsevier, vol. 33(3), pages 367-385, December.
  37. Krane, Spencer D, 1994. "The Distinction between Inventory Holding and Stockout Costs: Implications for Target Inventories, Asymmetric Adjustment, and the Effect of Aggregation on Production Smoothing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 117-36, February.
  38. Kenneth D. West, 1985. "A Variance Bounds Test of the Linear Quardractic Inventory Model," NBER Working Papers 1581, National Bureau of Economic Research, Inc.
  39. Christiano, Lawrence J., 1988. "Why does inventory investment fluctuate so much?," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 247-280.
  40. Krane, Spencer D., 1993. "Induced seasonality and production-smoothing models of inventory behavior," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 135-168.
  41. Blinder, Alan S & Maccini, Louis J, 1991. " The Resurgence of Inventory Research: What Have We Learned?," Journal of Economic Surveys, Wiley Blackwell, vol. 5(4), pages 291-328.
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  45. 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.
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  47. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-44, January.
  48. Lovell, Michael C., 1993. "Simulating the inventory cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 21(2), pages 147-179, June.
  49. Michael C. Lovell, 1959. "Manufacturers' Inventories, Sales Expectations, and the Acceleration Principle," Cowles Foundation Discussion Papers 86, Cowles Foundation for Research in Economics, Yale University.
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Citations

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Cited by:
  1. Brad R. Humphreys & Louis J. Maccini & Scott Schuh, 1997. "Input and output inventories," Working Papers 97-7, Federal Reserve Bank of Boston.
  2. Durlauf, Steven N. & Maccini, Louis J., 1995. "Measuring noise in inventory models," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 65-89, August.
  3. Gerhard Fenz & Martin Spitzer, 2005. "AQM – The Austrian Quarterly Model of the Oesterreichische Nationalbank," Working Papers 104, Oesterreichische Nationalbank (Austrian Central Bank).
  4. SaangJoon Baak, 2000. "Heterogeneous Expectations, Volatility and Welfare," Working Papers EMS_2000_01, Research Institute, International University of Japan.
  5. John D Tsoukalas, 2005. "Modelling manufacturing inventories," Bank of England working papers 284, Bank of England.
  6. Bartholomew Moore & Louis J Maccini & Huntley Schaller, 2002. "The Interest Rate Learning and Inventory Investment," Economics Working Paper Archive 512, The Johns Hopkins University,Department of Economics, revised Apr 2004.
  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. 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.).
  9. David Bivin, 2005. "Gauging the performance of the linear-quadratic inventory model," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1215-1231.
  10. Craig Burnside & Martin Eichenbaum, 1994. "Small sample properties of generalized method of moments based Wald tests," Working Paper Series, Macroeconomic Issues 94-12, Federal Reserve Bank of Chicago.
  11. Kenneth D. West & David W. Wilcox, 1995. "A Comparison of Alternative Instruments Variables Estimators of a Dynamic Linear Model," NBER Technical Working Papers 0176, National Bureau of Economic Research, Inc.
  12. 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.
  13. Scott Schuh, 1996. "Evidence on the link between firm-level and aggregate inventory behavior," Finance and Economics Discussion Series 96-46, Board of Governors of the Federal Reserve System (U.S.).
  14. Ian Small, 2000. "Inventory investment and cash flow," Bank of England working papers 112, Bank of England.
  15. Bivin, David G., 1996. "Bunching in the production process," Economics Letters, Elsevier, vol. 50(2), pages 259-263, February.

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