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Inventory Investment Dynamics and Recoveries: A Comparison of Manufacturing and Retail Trade Sectors

This paper explores the existence of a bounce-back effect in inventory investment using the European Commission opinion survey on stocks of finished products in manufacturing and retail trade sectors. The data are quarterly balance for France, Germany and a European aggregate, from 1985q1 to 2011q4. Our empirical findings support the existence of a high recovery episode for inventory investment, during the quarters immediately following the recessions. This could in turn explain the real GDP growth rate bounce-back pointed out in previous empirical studies. Moreover, according to our estimates, the inventory investment bounce-back occurs later and lasts longer in manufacturing than in retail trade sector.

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Paper provided by Banque de France in its series Working papers with number 400.

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Length: 21 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:bfr:banfra:400
Contact details of provider: Postal: Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS
Web page: http://www.banque-france.fr/
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  1. Bec Frederique & Othman Bouabdallah & Laurent Ferrara, 2011. "The possible shapes of recoveries in Markov-Switching models," THEMA Working Papers 2011-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  2. Kim, C-J & Nelson, C-R, 1997. "Friedman's Plucking Model of Business Fluctuations : Tests and Estimates of Permanent and Transitory Components," Working Papers 97-06, University of Washington, Department of Economics.
  3. Frédérique Bec & Othman Bouabdallah & Laurent Ferrara, 2011. "The European Way Out of Recessions," THEMA Working Papers 2011-23, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  4. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1 National Bureau of Economic Research, Inc.
  5. James Morley & Jeremy Piger, 2012. "The Asymmetric Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 208-221, February.
  6. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-30, March.
  7. Camacho, Maximo & Perez Quiros, Gabriel & Rodriguez Mendizabal, Hugo, 2011. "High-growth recoveries, inventories and the Great Moderation," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1322-1339, August.
  8. Alan S. Blinder, 1984. "Can The Production Smoothing Model of Inventory Behavior be Saved?," NBER Working Papers 1257, National Bureau of Economic Research, Inc.
  9. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
  10. Moses Abramovitz, 1950. "Total Inventories during Business Cycles," NBER Chapters, in: Inventories and Business Cycles, with Special Reference to Manufacturer's Inventories, pages 76-108 National Bureau of Economic Research, Inc.
  11. Frédérique Bec & Mélika Ben Salem, 2012. "Inventory Investment and the Business Cycle : The usual Suspect," Working Papers 2012-09, Centre de Recherche en Economie et Statistique.
  12. Kahn, James A, 1987. "Inventories and the Volatility of Production," American Economic Review, American Economic Association, vol. 77(4), pages 667-79, September.
  13. 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.
  14. Alan S. Blinder & Louis J. Maccini, 1991. "Taking Stock: A Critical Assessment of Recent Research on Inventories," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 73-96, Winter.
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