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Bullwhip in a Spanish Shop

  • Lai, Richard

Sebastian de la Fuente is the sixth largest supermarket chain in the Basque region of Spain. It has a novel dataset of 108,605 observations on 3,745 SKUs, collected for almost 2 1/2 years. I find the bullwhip effect in the data: at least 80% of the SKUs have a bigger variance in supplies than variance in sales. I also test six potential causes of the bullwhip, and report clear evidence for three: a rational cause (batching by the supermarket) and two behavioral ones (under-reaction to lags and coordination risks).

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File URL: https://mpra.ub.uni-muenchen.de/4758/1/MPRA_paper_4758.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 4758.

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Date of creation: 18 Sep 2005
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Handle: RePEc:pra:mprapa:4758
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  1. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
  2. Fair, Ray C., 1989. "The production-smoothing model is alive and well," Journal of Monetary Economics, Elsevier, vol. 24(3), pages 353-370, November.
  3. Olivier J. Blanchard, 1982. "The Production and Inventory Behavior of the American Automobile Industry," NBER Working Papers 0891, National Bureau of Economic Research, Inc.
  4. Humphreys, Brad R., 2001. "The behavior of manufacturers inventories: Evidence from US industry level data," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 9-20, May.
  5. Gérard P. Cachon, 1999. "Managing Supply Chain Demand Variability with Scheduled Ordering Policies," Management Science, INFORMS, vol. 45(6), pages 843-856, June.
  6. Blinder, Alan S, 1986. "Can the Production Smoothing Model of Inventory Behavior Be Saved?," The Quarterly Journal of Economics, MIT Press, vol. 101(3), pages 431-53, August.
  7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  8. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
  9. Stephen C. Graves, 1999. "A Single-Item Inventory Model for a Nonstationary Demand Process," Manufacturing & Service Operations Management, INFORMS, vol. 1(1), pages 50-61.
  10. Gorman, Michael F. & Brannon, James I., 2000. "Seasonality and the production-smoothing model," International Journal of Production Economics, Elsevier, vol. 65(2), pages 173-178, April.
  11. Kahn, James A, 1987. "Inventories and the Volatility of Production," American Economic Review, American Economic Association, vol. 77(4), pages 667-79, September.
  12. Bivin, David G., 1996. "Bunching in the production process," Economics Letters, Elsevier, vol. 50(2), pages 259-263, February.
  13. Christian Terwiesch & Z. Justin Ren & Teck H. Ho & Morris A. Cohen, 2005. "An Empirical Analysis of Forecast Sharing in the Semiconductor Equipment Supply Chain," Management Science, INFORMS, vol. 51(2), pages 208-220, February.
  14. Mosser, Patricia C, 1991. "Trade Inventories and (S, s)," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 1267-86, November.
  15. Aguirregabiria, Victor, 1999. "The Dynamics of Markups and Inventories in Retailing Firms," Review of Economic Studies, Wiley Blackwell, vol. 66(2), pages 275-308, April.
  16. 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.
  17. Randall Morck & Andrei Shleifer & Robert W. Vishny, 1990. "The Stock Market and Investment: Is the Market a Sideshow?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(2), pages 157-216.
  18. Gérard P. Cachon & Martin A. Lariviere, 1999. "Capacity Choice and Allocation: Strategic Behavior and Supply Chain Performance," Management Science, INFORMS, vol. 45(8), pages 1091-1108, August.
  19. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"," Management Science, INFORMS, vol. 50(12_supple), pages 1887-1893, December.
  20. Krane, Spencer D & Braun, Stephen N, 1991. "Production Smoothing Evidence from Physical-Product Data," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 558-81, June.
  21. Joel H. Steckel & Sunil Gupta & Anirvan Banerji, 2004. "Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?," Management Science, INFORMS, vol. 50(4), pages 458-464, April.
  22. Kleijnen, J.P.C. & Smits, M.T., 2003. "Performance metrics in supply chain management," Other publications TiSEM 80777aed-0c9f-4ded-b0bb-f, Tilburg University, School of Economics and Management.
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