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Inventory Investment and the Business Cycle : The usual Suspect

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  • Frédérique Bec

    ()
    (CREST, THEMA)

  • Mélika Ben Salem

    (CEE, PSE, Université Paris Est)

Abstract

From quarterly postwar US and French data, this paper provides evidence of a bounce-back effect in inventory investment but not in final sales data. Actually, from a bounce-back augmented threshold model, it appears that i) the null hypothesis of no bounce-back effect is strongly rejected by the inventory investment data and ii) the one-step ahead forecasting performances of the models accounting for this bounce-back effect are well improved compared to linear or standard threshold autoregressions. This supports the conventional wisdom that inventory investment exacerbates aggregate fluctuations, in line with the recent theoretical models by, e.g., Wang and Wen (Wang, P., and Y. Wen. 2009. “Inventory Accelerator in General Equilibrium.” Working Paper 010, Federal Reserve Bank of St. Louis) and Wang, Wen and Xu (Wang, P., Y. Wen, and Z. Xu. 2011. “When do Inventories Destabilize the Economy? An Analytical Approach to (s,s) Policies.” Working Paper 014, Federal Reserve Bank of St. Louis) which clearly predict a destabilizing role of inventory investment over the business cycle. By contrast, our empirical findings cast doubt on models based on the stockouts avoidance motive for holding inventories.

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Bibliographic Info

Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2012-09.

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Length: 20
Date of creation: Apr 2012
Date of revision:
Handle: RePEc:crs:wpaper:2012-09

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Keywords: inventory investment; threshold models; bounce-back effects; asymmetric business cycles;

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  1. Bec, F. & Bouabdallah, O. & Ferrara, L., 2011. "The possible shapes of recoveries in Markov-switching models," Working papers 321, Banque de France.
  2. Russell Cooper & John Haltiwanger, 1990. "Macroeconomic Implications of Production Bunching: Factor Demand Linkages," Papers 0001, Boston University - Industry Studies Programme.
  3. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  4. Inoue, Atsushi & Kilian, Lutz, 2003. "On the Selection of Forecasting Models," CEPR Discussion Papers 3809, C.E.P.R. Discussion Papers.
  5. Virgiliu Midrigan & Oleksiy Kryvtsov, 2008. "Inventories, Markups, and Real Rigidities in Menu Cost Models," 2008 Meeting Papers 487, Society for Economic Dynamics.
  6. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
  7. Bils, M. & Kahn, J.A., 1996. "What Inventory Behavior Tells Us About Business Cycles," RCER Working Papers 428, University of Rochester - Center for Economic Research (RCER).
  8. Chang-Jin Kim & James Morley & Jeremy Piger, 2003. "Nonlinearity and the permanent effects of recessions," Working Papers 2002-014, Federal Reserve Bank of St. Louis.
  9. James Morley & Jeremy Piger, 2012. "The Asymmetric Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 208-221, February.
  10. Kahn, James A, 1987. "Inventories and the Volatility of Production," American Economic Review, American Economic Association, vol. 77(4), pages 667-79, September.
  11. Costantini, Mauro & Kunst, Robert M., 2011. "On the Usefulness of the Diebold-Mariano Test in the Selection of Prediction Models," Economics Series 276, Institute for Advanced Studies.
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Cited by:
  1. Frederique Bec & Marie Bessec, 2013. "Inventory Investment Dynamics and Recoveries: A Comparison of Manufacturing and Retail Trade Sectors," Economics Bulletin, AccessEcon, vol. 33(3), pages 2209-2222.

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