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Sales and collusion in a market with storage

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  • Nava, Francesco

Abstract

Sales are a widespread and well-known phenomenon that has been documented in several product markets. Regularities in such periodic price reductions appear to suggest that the phenomenon cannot be entirely attributed to random variations in supply, demand, or the aggregate price level. Certain sales are traditional and so well publicized that it is difficult to justify them as devices to separate informed from uninformed consumers. This paper presents a model in which sellers want to reduce prices periodically in order to improve their ability to collude over time. In particular, the study shows that if buyers have heterogeneous storage technologies, periodic sales may facilitate collusion by magnifying intertemporal linking in consumers' decisions. The stability and the profitability of different sale strategies is then explored. The optimal sales discount and timing of sales are characterized. A trade-off between cartel size and aggregate profits arises.

Suggested Citation

  • Nava, Francesco, 2006. "Sales and collusion in a market with storage," LSE Research Online Documents on Economics 41959, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:41959
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    References listed on IDEAS

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    1. Igal Hendel & Aviv Nevo, 2006. "Sales and consumer inventory," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 543-561, September.
    2. Faruk Gul, 1987. "Noncooperative Collusion in Durable Goods Oligopoly," RAND Journal of Economics, The RAND Corporation, vol. 18(2), pages 248-254, Summer.
    3. Hong, Pilky & McAfee, R. Preston & Nayyar, Ashish, 2002. "Equilibrium Price Dispersion with Consumer Inventories," Journal of Economic Theory, Elsevier, vol. 105(2), pages 503-517, August.
    4. David Bell & Christian Hilber, 2006. "An empirical test of the Theory of Sales: Do household storage constraints affect consumer and store behavior?," Quantitative Marketing and Economics (QME), Springer, vol. 4(2), pages 87-117, June.
    5. Joel Sobel, 1984. "The Timing of Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 353-368.
    6. Tülin Erdem & Susumu Imai & Michael Keane, 2003. "Brand and Quantity Choice Dynamics Under Price Uncertainty," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 5-64, March.
    7. Spagnolo, Giancarlo, 1999. "On Interdependent Supergames: Multimarket Contact, Concavity, and Collusion," Journal of Economic Theory, Elsevier, vol. 89(1), pages 127-139, November.
    8. Pasquale Schiraldi & Francesco Nava, 2012. "Resale and Collusion in A Dynamic Market for Semidurable Goods," Journal of Industrial Economics, Wiley Blackwell, vol. 60(2), pages 274-298, June.
    9. Salop, S & Stiglitz, J E, 1982. "The Theory of Sales: A Simple Model of Equilibrium Price Dispersion with Identical Agents," American Economic Review, American Economic Association, vol. 72(5), pages 1121-1130, December.
    10. James D. Dana Jr & Yuk‐Fai Fong, 2011. "Long‐Lived Consumers, Intertemporal Bundling and Collusion," Journal of Industrial Economics, Wiley Blackwell, vol. 59(4), pages 609-629, December.
    11. Igal Hendel & Aviv Nevo, 2006. "Sales and Consumer Inventory," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 543-561, Autumn.
    12. Igal Hendel & Paolo Dudine & Alessandro Lizzeri, 2006. "Storable Good Monopoly: The Role of Commitment," American Economic Review, American Economic Association, vol. 96(5), pages 1706-1719, December.
    13. B. Douglas Bernheim & Michael D. Whinston, 1990. "Multimarket Contact and Collusive Behavior," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 1-26, Spring.
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    More about this item

    Keywords

    storage; sales; collusion; cartel size; repeated games.;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

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