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Do Firms Smooth the Seasonal in Production in a Boom? Theory and Evidence

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  • Stephen G. Cecchetti
  • Anil K. Kashyap
  • David W. Wilcox

Abstract

Using disaggregated production data we show that the size of seasonal cycles changes significantly over the course of the business cycle. In particular, during periods of high economy-wide activity, some industries smooth seasonal fluctuations while others exaggerate them. We interpret this finding using a simple analytical model that describes the conditions under which seasonal and cyclical fluctuations can be separated. Our model implies that seasonal fluctuations can safely be disentangled from cyclical fluctuations only when the marginal cost of production is linear, and the variation in demand and cost satisfy certain (restrictive) conditions. The model also suggests that inventory movements can be used to isolate the role of demand shifts in generating any interaction between seasonal cycles and business cycles. Thus, the empirical analysis involves studying the variation in seasonally unadjusted patterns of production and inventory accumulation over different phases of the business cycle. Our finding that seasonals shrink during booms and that firms carry more inventories into high sales seasons during a boom leads us to conclude that for several industries, marginal cost slopes up at an increasing rate. Conversely, in a couple of industries we find that seasonal swings in production are exaggerated during booms and that inventories are drawn down prior to high sales seasons, suggesting that marginal costs curves flatten as production increases. Overall, we find considerable evidence that there are non-linear interactions between business cycles and seasonal cycles.

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:5011
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    References listed on IDEAS

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    1. Fair, Ray C., 1989. "The production-smoothing model is alive and well," Journal of Monetary Economics, Elsevier, vol. 24(3), pages 353-370, November.
    2. Andrews, Donald W. K., 1998. "Hypothesis testing with a restricted parameter space," Journal of Econometrics, Elsevier, vol. 84(1), pages 155-199, May.
    3. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    4. Barsky, Robert B & Miron, Jeffrey A, 1989. "The Seasonal Cycle and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 503-534, June.
    5. Krane, Spencer D., 1993. "Induced seasonality and production-smoothing models of inventory behavior," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 135-168.
    6. Cooper, Russell & Haltiwanger, John, 1993. "The Aggregate Implications of Machine Replacement: Theory and Evidence," American Economic Review, American Economic Association, vol. 83(3), pages 360-382, June.
    7. J. Joseph Beaulieu & Jeffrey K. MacKie-Mason & Jeffrey A. Miron, 1992. "Why Do Countries and Industries with Large Seasonal Cycles Also Have Large Business Cycles?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 621-656.
    8. Ramey, Valerie A, 1991. "Nonconvex Costs and the Behavior of Inventories," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 306-334, April.
    9. Julio J. Rotemberg & Michael Woodford, 1993. "Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets," NBER Working Papers 4502, National Bureau of Economic Research, Inc.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Kenneth D. West, 1993. "Inventory Models," NBER Technical Working Papers 0143, National Bureau of Economic Research, Inc.
    12. Beaulieu, J. Joseph & Miron, Jeffrey A., 1991. "The seasonal cycle in U.S. manufacturing," Economics Letters, Elsevier, vol. 37(2), pages 115-118, October.
    13. Alan S. Blinder, 1986. "Can the Production Smoothing Model of Inventory Behavior be Saved?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 431-453.
    14. 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.
    15. Timothy F. Bresnahan & Valerie A. Ramey, 1994. "Output Fluctuations at the Plant Level," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 593-624.
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    Cited by:

    1. Charles A. Fleischman, 1996. "The endogeneity of employment adjustment costs: the tradeoff between efficiency and flexibility," Finance and Economics Discussion Series 1996-48, Board of Governors of the Federal Reserve System (U.S.).
    2. Cecchetti, Stephen G. & Kashyap, Anil K, 1996. "International cycles," European Economic Review, Elsevier, vol. 40(2), pages 331-360, February.
    3. Tomiura, Eiichi, 1998. "Correlation of seasonal variation and nonseasonal variation of production at the establishment level," Economics Letters, Elsevier, vol. 59(2), pages 201-205, May.
    4. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
    5. Hall, George J., 2000. "Non-convex costs and capital utilization: A study of production scheduling at automobile assembly plants," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 681-716, June.
    6. Michael F. Bryan & Stephen G. Cecchetti, 1995. "The seasonality of consumer prices," Economic Review, Federal Reserve Bank of Cleveland, issue Q II, pages 12-23.
    7. George J. Hall, 1996. "Non-convex costs and capital utilization: a study of production and inventories at automobile assembly plants," Working Paper Series, Macroeconomic Issues WP-96-25, Federal Reserve Bank of Chicago.

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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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