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The Production Smoothing Model Is Alive and Well

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Abstract

Monthly data in physical units for seven industries are used to examine the production smoothing hypothesis. The results strongly support this hypothesis. Significant effects of expected future sales on current production are found for four industries, and the estimated decision equations for all seven industries imply production smoothing behavior. The previous negative results regarding the hypothesis appear to be due to the use of poor data, particularly the shipments and inventory data of the Department of Commerce.

Suggested Citation

  • Ray C. Fair, 1989. "The Production Smoothing Model Is Alive and Well," Cowles Foundation Discussion Papers 896, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:896
    Note: CFP 740.
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    References listed on IDEAS

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    1. Blanchard, Olivier J, 1983. "The Production and Inventory Behavior of the American Automobile Industry," Journal of Political Economy, University of Chicago Press, vol. 91(3), pages 365-400, June.
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    6. 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.
    7. Ghali, Moheb A, 1987. "Seasonality, Aggregation and the Testing of the Production Smoothing Hypothesis," American Economic Review, American Economic Association, vol. 77(3), pages 464-469, June.
    8. Alan S. Blinder, 1981. "Retail Inventory Behavior and Business Fluctuations," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 12(2), pages 443-520.
    9. Donald W. K. Andrews & Ray C. Fair, 1988. "Inference in Nonlinear Econometric Models with Structural Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(4), pages 615-640.
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