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Retail Competition and the Dynamics of Consumer Demand for Tied Goods

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  • Hartmann, Wesley R.

    (Stanford U)

  • Nair, Harikesh S.

Abstract

We empirically investigate the demand for tied goods sold through competing retail channels. Tied good pricing strategies commonly involve a low price on the initial purchase (i.e. the primary good) to drive adoption, and a substantial markup on aftermarket goods to capture value. However, if the goods are sold through downstream channels, retail market power and a misalignment of incentives could distort the relative prices of primary and aftermarket goods. To evaluate whether retail competition is strong enough to prevent such distortions, we explore the commonly noted example of razors and blades, which are sold through drug, grocery, mass merchandising, and club stores. We specify a forward-looking demand model that incorporates dynamics arising from the tied good nature of the products and the stockpiling and durability aspects of razors and blades. Furthermore, we allow intertemporal substitution in the purchase of both razors and blades to occur across channels as well as time. This modeling feature enables a novel approach to measuring retail competition in single category demand analyses. Our estimates indicate that there is substantial cross-channel substitution in razors, but some retail market power in blades. However, the channel with the most market power in blades, club stores, specializes in high volume customers that would adopt a razor even if blade prices are higher. This suggests that the manufacturer can achieve its desired level of razor adoption without vertical restraints, though blade sales may be slightly reduced by double marginalization.

Suggested Citation

  • Hartmann, Wesley R. & Nair, Harikesh S., 2007. "Retail Competition and the Dynamics of Consumer Demand for Tied Goods," Research Papers 1990, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:1990
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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Matthew T. Clements & Hiroshi Ohashi, 2005. "Indirect Network Effects And The Product Cycle: Video Games In The U.S., 1994–2002," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 515-542, December.
    3. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, December.
    4. 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.
    5. Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.
    6. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
    7. Klein, Benjamin & Murphy, Kevin M, 1988. "Vertical Restraints as Contract Enforcement Mechanisms," Journal of Law and Economics, University of Chicago Press, vol. 31(2), pages 265-297, October.
    8. Severin Borenstein & Jeffrey K. Mackie‐Mason & Janet S. Netz, 2000. "Exercising Market Power in Proprietary Aftermarkets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(3), pages 157-188, June.
    9. K. Sridhar Moorthy, 1987. "Comment—Managing Channel Profits: Comment," Marketing Science, INFORMS, vol. 6(4), pages 375-379.
    10. Rust, John, 1996. "Numerical dynamic programming in economics," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 14, pages 619-729, Elsevier.
    11. Richard Schmalensee, 1981. "Monopolistic Two-Part Pricing Arrangements," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 445-466, Autumn.
    12. H. M. Amman & D. A. Kendrick & J. Rust (ed.), 1996. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 1, number 1.
    13. J. Miguel Villas-Boas, 1998. "Product Line Design for a Distribution Channel," Marketing Science, INFORMS, vol. 17(2), pages 156-169.
    14. Walter Y. Oi, 1971. "A Disneyland Dilemma: Two-Part Tariffs for a Mickey Mouse Monopoly," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 85(1), pages 77-96.
    15. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
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    Cited by:

    1. Michaela Draganska & Daniel Klapper & Sofia B. Villas-Boas, 2010. "A Larger Slice or a Larger Pie? An Empirical Investigation of Bargaining Power in the Distribution Channel," Marketing Science, INFORMS, vol. 29(1), pages 57-74, 01-02.
    2. Hökelekli, Gizem & Lamey, Lien & Verboven, Frank, 2017. "The battle of traditional retailers versus discounters: The role of PL tiers," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 11-22.
    3. Villas-Boas, Sofia B & Klapper, Daniel & Draganska, Michaela, 2010. "A Larger Slice or a Larger Pie? Investigating Margins in the Distribution Channel," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt064044x8, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Kusum Ailawadi & Eric Bradlow & Michaela Draganska & Vincent Nijs & Robert Rooderkerk & K. Sudhir & Kenneth Wilbur & Jie Zhang, 2010. "Empirical models of manufacturer-retailer interaction: A review and agenda for future research," Marketing Letters, Springer, vol. 21(3), pages 273-285, September.
    5. Phillip Leslie & Alan Sorensen, 2009. "The Welfare Effects of Ticket Resale," NBER Working Papers 15476, National Bureau of Economic Research, Inc.

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