IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v29y2010i2p366-386.html
   My bibliography  Save this article

Retail Competition and the Dynamics of Demand for Tied Goods

Author

Listed:
  • Wesley R. Hartmann

    (Stanford Graduate School of Business, Stanford University, Stanford, California 94305)

  • Harikesh S. Nair

    (Stanford Graduate School of Business, Stanford University, Stanford, California 94305)

Abstract

We present a demand system for tied goods incorporating dynamics arising from the tied nature of the products and the stockpiling induced by storability and durability. We accommodate competition across tied good systems and competing downstream retail formats by endogenizing the retail format at which consumers choose to stockpile inventory. This facilitates measurement of long-run retail substitution effects and yields estimates of complementarities within, and substitution across, competing systems of tied goods. We present an empirical application to an archetypal tied goods category: razors and blades. We discuss the implications of measured effects for manufacturer pricing when selling the tied products through an oligopolistic downstream retail channel and assess the extent to which retail substitution reduces channel conflict.

Suggested Citation

  • Wesley R. Hartmann & Harikesh S. Nair, 2010. "Retail Competition and the Dynamics of Demand for Tied Goods," Marketing Science, INFORMS, vol. 29(2), pages 366-386, 03-04.
    • Handle: RePEc:inm:ormksc:v:29:y:2010:i:2:p:366-386
    DOI: 10.1287/mksc.1090.0518
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1090.0518
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mksc.1090.0518?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Igal Hendel & Aviv Nevo, 2006. "Measuring the Implications of Sales and Consumer Inventory Behavior," Econometrica, Econometric Society, vol. 74(6), pages 1637-1673, November.
    3. Igal Hendel & Aviv Nevo, 2006. "Sales and consumer inventory," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 543-561, September.
    4. João L. Assunção & Robert J. Meyer, 1993. "The Rational Effect of Price Promotions on Sales and Consumption," Management Science, INFORMS, vol. 39(5), pages 517-535, May.
    5. Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
    6. Ricard Gil & Wesley R. Hartmann, 2009. "Empirical Analysis of Metering Price Discrimination: Evidence from Concession Sales at Movie Theaters," Marketing Science, INFORMS, vol. 28(6), pages 1046-1062, 11-12.
    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. Preyas S. Desai & Kannan Srinivasan, 1995. "Demand Signalling Under Unobservable Effort in Franchising: Linear and Nonlinear Price Contracts," Management Science, INFORMS, vol. 41(10), pages 1608-1623, October.
    10. Harikesh Nair & Pradeep Chintagunta & Jean-Pierre Dubé, 2004. "Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants," Quantitative Marketing and Economics (QME), Springer, vol. 2(1), pages 23-58, March.
    11. Richard Schmalensee, 1981. "Monopolistic Two-Part Pricing Arrangements," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 445-466, Autumn.
    12. K. Sridhar Moorthy, 1987. "Comment—Managing Channel Profits: Comment," Marketing Science, INFORMS, vol. 6(4), pages 375-379.
    13. Bart J. Bronnenberg & Michael W. Kruger & Carl F. Mela, 2008. "—The IRI Marketing Data Set," Marketing Science, INFORMS, vol. 27(4), pages 745-748, 07-08.
    14. Igal Hendel & Aviv Nevo, 2006. "Sales and Consumer Inventory," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 543-561, Autumn.
    15. David R. Bell & James M. Lattin, 1998. "Shopping Behavior and Consumer Preference for Store Price Format: Why “Large Basket” Shoppers Prefer EDLP," Marketing Science, INFORMS, vol. 17(1), pages 66-88.
    16. J. Miguel Villas-Boas, 1998. "Product Line Design for a Distribution Channel," Marketing Science, INFORMS, vol. 17(2), pages 156-169.
    17. Baohong Sun, 2005. "Promotion Effect on Endogenous Consumption," Marketing Science, INFORMS, vol. 24(3), pages 430-443, July.
    18. 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.
    19. Rosen, Sherwin, 2007. "Studies in Labor Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226726304, July.
    20. Sofia Berto Villas-Boas, 2007. "Vertical Relationships between Manufacturers and Retailers: Inference with Limited Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 625-652.
    21. repec:ucp:bknber:9780226726281 is not listed on IDEAS
    22. Sherwin Rosen, 1981. "Introduction to "Studies in Labor Markets"," NBER Chapters, in: Studies in Labor Markets, pages 1-20, National Bureau of Economic Research, Inc.
    23. 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.
    24. 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.
    25. Joseph E. Stiglitz & G. Frank Mathewson (ed.), 1986. "New Developments in the Analysis of Market Structure," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262690934, December.
    26. 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.
    27. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Wesley Hartmann, 2006. "Intertemporal effects of consumption and their implications for demand elasticity estimates," Quantitative Marketing and Economics (QME), Springer, vol. 4(4), pages 325-349, December.
    3. Yonezawa, Koichi & Richards, Timothy J., 2016. "Competitive Package Size Decisions," Journal of Retailing, Elsevier, vol. 92(4), pages 445-469.
    4. Vincent R. Nijs & Kanishka Misra & Karsten Hansen, 2014. "Outsourcing Retail Pricing to a Category Captain: The Role of Information Firewalls," Marketing Science, INFORMS, vol. 33(1), pages 66-81, January.
    5. Ribeiro, Ricardo, 2010. "Consumer demand for variety: intertemporal effects of consumption, product switching and pricing policies," MPRA Paper 25812, University Library of Munich, Germany.
    6. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 151-196, June.
    7. Gonca P. Soysal & Lakshman Krishnamurthi, 2012. "Demand Dynamics in the Seasonal Goods Industry: An Empirical Analysis," Marketing Science, INFORMS, vol. 31(2), pages 293-316, March.
    8. Chen, Chia-Wen, 2014. "Estimating the foreclosure effect of exclusive dealing: Evidence from the entry of specialty beer producers," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 47-64.
    9. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    10. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1445-1488, December.
    11. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    12. Andrew T. Ching & Matthew Osborne, 2020. "Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling," Marketing Science, INFORMS, vol. 39(4), pages 707-726, July.
    13. Masakazu Ishihara & Andrew T. Ching, 2019. "Dynamic Demand for New and Used Durable Goods Without Physical Depreciation: The Case of Japanese Video Games," Marketing Science, INFORMS, vol. 38(3), pages 392-416, May.
    14. 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.
    15. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    16. Yufeng Huang, 2019. "Learning by Doing and the Demand for Advanced Products," Marketing Science, INFORMS, vol. 38(1), pages 107-128, January.
    17. Matthew Osborne, 2011. "Consumer learning, switching costs, and heterogeneity: A structural examination," Quantitative Marketing and Economics (QME), Springer, vol. 9(1), pages 25-70, March.
    18. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.
    19. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    20. Timothy Derdenger & Vineet Kumar, 2013. "The Dynamic Effects of Bundling as a Product Strategy," Marketing Science, INFORMS, vol. 32(6), pages 827-859, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:29:y:2010:i:2:p:366-386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.