IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/1593r.html
   My bibliography  Save this paper

The Asymmetric Share Effect: An Empirical Generalization on Absolute Cross-Price Effects

Author

Listed:
  • Srinivasan, V. Seenu

    (Stanford U)

  • Sethuraman, Raj

    (Southern Methodist U)

Abstract

Past empirical literature states that asymmetry in cross-price effect favors the large-share brand. That is, when large-share brands discount, they have a greater impact on small-share brands than the reverse. This conclusion is based on consideration of cross-price elasticities. This paper points out that focusing on cross-elasticities for measuring asymmetry is inappropriate for assessing incremental profitability from price promotions. Instead, we should investigate asymmetries in absolute cross-price effects (i.e., change in market share of a competing brand for a unit price change of the focal brand). We theoretically and empirically demonstrate that asymmetry reverses when absolute cross-price effect is considered. That is, the absolute cross-price effect of a price reduction of a lower-share brand on the market share of a higher-share brand is greater than the reverse. The general intuition is that a small-share brand has a greater pool of consumers to draw from when it discounts than does a large-share brand. The implications of the findings and future research directions are discussed.

Suggested Citation

  • Srinivasan, V. Seenu & Sethuraman, Raj, 2000. "The Asymmetric Share Effect: An Empirical Generalization on Absolute Cross-Price Effects," Research Papers 1593r, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:1593r
    as

    Download full text from publisher

    File URL: http://gsbapps.stanford.edu/researchpapers/library/RP1593R.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Byung-Do & Blattberg, Robert C & Rossi, Peter E, 1995. "Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 291-303, July.
    2. Raj Sethuraman & V. Srinivasan & Doyle Kim, 1999. "Asymmetric and Neighborhood Cross-Price Effects: Some Empirical Generalizations," Marketing Science, INFORMS, vol. 18(1), pages 23-41.
    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. Ataman, B.M., 2007. "Managing brands," Other publications TiSEM 462dcbba-2ac1-46d1-a61c-f, Tilburg University, School of Economics and Management.
    2. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244, March.
    3. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
    4. Kris De Jaegher, 2009. "Asymmetric Substitutability: Theory And Some Applications," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 838-855, October.
    5. Rutger Oest, 2005. "Which Brands Gain Share from Which Brands? Inference from Store-Level Scanner Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 281-304, September.
    6. repec:dgr:rugsom:00f25 is not listed on IDEAS
    7. Jena, Sarat Kumar & Padhi, Sidhartha S & Cheng, T.C.E., 2023. "Optimal selection of supply chain financing programmes for a financially distressed manufacturer," European Journal of Operational Research, Elsevier, vol. 306(1), pages 457-477.
    8. Hsien-Wei Chen & Alvin Lim, 2023. "A network price elasticity of demand model with product substitution," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(4), pages 235-247, August.
    9. Agarwal, Manoj K., 2002. "Asymmetric price effects in the telecommunications services markets," Journal of Business Research, Elsevier, vol. 55(8), pages 671-677, August.
    10. Harald Van Heerde & Kristiaan Helsen & Marnik G. Dekimpe, 2007. "The Impact of a Product-Harm Crisis on Marketing Effectiveness," Marketing Science, INFORMS, vol. 26(2), pages 230-245, 03-04.
    11. Johannes Auer & Dominik Papies, 2020. "Cross-price elasticities and their determinants: a meta-analysis and new empirical generalizations," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 584-605, May.
    12. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    13. A. Prinzie & D. Van Den Poel, 2005. "Incorporating sequential information into traditional classification models by using an element/position- sensitive SAM," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/292, Ghent University, Faculty of Economics and Business Administration.
    14. Dawes, John G., 2012. "Brand-Pack Size Cannibalization Arising from Temporary Price Promotions," Journal of Retailing, Elsevier, vol. 88(3), pages 343-355.
    15. Amrouche, Nawel & Pei, Zhi & Yan, Ruiliang, 2022. "Mail-in-rebate and coordination strategies for brand competition," International Journal of Production Economics, Elsevier, vol. 247(C).
    16. Kopalle, Praveen K. & Lehmann, Donald R., 2015. "The Truth Hurts: How Customers May Lose From Honest Advertising," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 251-262.
    17. van Oest, R.D. & Franses, Ph.H.B.F., 2003. "Which brands gain share from which brands? Inference from store-level scanner data," ERIM Report Series Research in Management ERS-2003-076-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. M. Tolga Akçura & Ram Bezawada & Ajay Kalra, 2012. "The Strategic Role of Private Labels on Retail Competition," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 26(1), pages 1-25.
    19. Harald J. van Heerde & Shuba Srinivasan & Marnik G. Dekimpe, 2010. "Estimating Cannibalization Rates for Pioneering Innovations," Marketing Science, INFORMS, vol. 29(6), pages 1024-1039, 11-12.
    20. Wang, Wanxin (Britney) & Deleersnyder, Barbara & Yildirim, Gokhan, 2025. "The impact of new product entry on brand sales volatility at the retailer: A Detailed Look into volatility drivers," Journal of Business Research, Elsevier, vol. 191(C).
    21. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.

    More about this item

    Statistics

    Access and download statistics

    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:ecl:stabus:1593r. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.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.