IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v34y1995i1p47-56.html
   My bibliography  Save this article

Unique inter-brand effects of price on brand choice

Author

Listed:
  • Krishnamurthi, Lakshman
  • Raj, S. P.
  • Sivakumar, K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Krishnamurthi, Lakshman & Raj, S. P. & Sivakumar, K., 1995. "Unique inter-brand effects of price on brand choice," Journal of Business Research, Elsevier, vol. 34(1), pages 47-56, September.
    • Handle: RePEc:eee:jbrese:v:34:y:1995:i:1:p:47-56
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0148-2963(94)00041-C
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. R. Dalal & R. W. Klein, 1988. "A Flexible Class of Discrete Choice Models," Marketing Science, INFORMS, vol. 7(3), pages 232-251.
    2. Buckley, Patrick G., 1988. "Nested multinomial logit analysis of scanner data for a hierarchical choice model," Journal of Business Research, Elsevier, vol. 17(2), pages 133-154, September.
    3. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    4. Lee, Lung-Fei, 1987. "Non-parametric testing of discrete panel data models," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 147-177.
    5. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    6. P. K. Kannan & Gordon P. Wright, 1991. "Modeling and Testing Structured Markets: A Nested Logit Approach," Marketing Science, INFORMS, vol. 10(1), pages 58-82.
    7. Lakshman Krishnamurthi & S. P. Raj, 1988. "A Model of Brand Choice and Purchase Quantity Price Sensitivities," Marketing Science, INFORMS, vol. 7(1), pages 1-20.
    8. Greg M. Allenby, 1989. "A Unified Approach to Identifying, Estimating and Testing Demand Structures with Aggregate Scanner Data," Marketing Science, INFORMS, vol. 8(3), pages 265-280.
    9. Purushottam Papatla & Lakshman Krishnamurthi, 1992. "A Probit Model of Choice Dynamics," Marketing Science, INFORMS, vol. 11(2), pages 189-206.
    10. Greg M. Allenby & Peter E. Rossi, 1991. "Quality Perceptions and Asymmetric Switching Between Brands," Marketing Science, INFORMS, vol. 10(3), pages 185-204.
    11. Piet Vanden Abeele & Els Gijsbrechts & Marc Vanhuele, 1990. "Specification and empirical evaluation of a cluster-asymmetry market share model," Post-Print hal-00481971, HAL.
    12. Ruth N. Bolton, 1989. "The Relationship Between Market Characteristics and Promotional Price Elasticities," Marketing Science, INFORMS, vol. 8(2), pages 153-169.
    13. Marcel L. Corstjens & David A. Gautschi, 1983. "Formal Choice Models in Marketing," Marketing Science, INFORMS, vol. 2(1), pages 19-56.
    14. Lakshman Krishnamurthi & S. P. Raj, 1991. "An Empirical Analysis of the Relationship Between Brand Loyalty and Consumer Price Elasticity," Marketing Science, INFORMS, vol. 10(2), pages 172-183.
    15. Jeffrey A. Dubin, 1986. "A Nested Logit Model of Space and Water Heat System Choice," Marketing Science, INFORMS, vol. 5(2), pages 112-124.
    16. Robert C. Blattberg & Kenneth J. Wisniewski, 1989. "Price-Induced Patterns of Competition," Marketing Science, INFORMS, vol. 8(4), pages 291-309.
    17. Cooper, Lee G & Nakanishi, Masao, 1983. "Standardizing Variables in Multiplicative Choice Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(1), pages 96-108, June.
    18. Glen L. Urban & Philip L. Johnson & John R. Hauser, 1984. "Testing Competitive Market Structures," Marketing Science, INFORMS, vol. 3(2), pages 83-112.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hans Degryse & Steven Ongena, 2005. "Distance, Lending Relationships, and Competition," Journal of Finance, American Finance Association, vol. 60(1), pages 231-266, February.
    2. Agarwal, Manoj K., 2002. "Asymmetric price effects in the telecommunications services markets," Journal of Business Research, Elsevier, vol. 55(8), pages 671-677, August.
    3. González-Benito, Óscar, 2004. "Random effects choice models: seeking latent predisposition segments in the context of retail store format selection," Omega, Elsevier, vol. 32(2), pages 167-177, April.
    4. Dawes, John G., 2012. "Brand-Pack Size Cannibalization Arising from Temporary Price Promotions," Journal of Retailing, Elsevier, vol. 88(3), pages 343-355.
    5. Sivakumar, K., 2004. "Manifestations and measurement of asymmetric brand competition," Journal of Business Research, Elsevier, vol. 57(8), pages 813-820, August.

    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. 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.
    2. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    3. Greg M. Allenby & Thomas S. Shively & Sha Yang & Mark J. Garratt, 2004. "A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts," Marketing Science, INFORMS, vol. 23(1), pages 95-108, June.
    4. Klapper, Daniel & Herwartz, Helmut, 1998. "Forecasting performance of market share attraction models: A comparison of different models assuming that competitors' actions are forecasts," SFB 373 Discussion Papers 1998,103, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    5. Klapper, Daniel & Herwartz, Helmut, 2000. "Forecasting market share using predicted values of competitive behavior: further empirical results," International Journal of Forecasting, Elsevier, vol. 16(3), pages 399-421.
    6. 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.
    7. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    8. Kumar, V. & Pereira, Arun, 1997. "Assessing the Competitive Impact of Type, Timing, Frequency, and Magnitude of Retail Promotions," Journal of Business Research, Elsevier, vol. 40(1), pages 1-13, September.
    9. Yasemin Boztug & Lutz Hildebrandt, 2005. "An empirical test of theories of price valuation using a semiparametric approach, reference prices, and accounting for heterogeneity," SFB 649 Discussion Papers SFB649DP2005-057, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Sanjog Misra, 2005. "Generalized Reverse Discrete Choice Models," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 175-200, June.
    11. Hruschka, Harald & Fettes, Werner & Probst, Markus, 2004. "An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications," European Journal of Operational Research, Elsevier, vol. 159(1), pages 166-180, November.
    12. J. Miguel Villas-Boas, 2004. "Consumer Learning, Brand Loyalty, and Competition," Marketing Science, INFORMS, vol. 23(1), pages 134-145, December.
    13. 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.
    14. Jean-Pierre Dubé, 2004. "Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks," Marketing Science, INFORMS, vol. 23(1), pages 66-81, September.
    15. Staus, Alexander, 2011. "Which household attitudes determine the store type choice for meat?," Journal of Retailing and Consumer Services, Elsevier, vol. 18(3), pages 224-234.
    16. Dutta, Shantanu & Bergen, Mark & Levy, Daniel, 2002. "Price flexibility in channels of distribution: Evidence from scanner data," Journal of Economic Dynamics and Control, Elsevier, vol. 26(11), pages 1845-1900, September.
    17. Ashutosh Prasad & Brian T. Ratchford & Sonika Singh, 2020. "Consumer Choice and Multi-Store Shopping: an Empirical Investigation," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 74-89, October.
    18. Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Marketing Science, INFORMS, vol. 24(3), pages 444-460, November.
    19. Kannan, P. K. & Yim, Chi Kin (Bennett), 2001. "An investigation of the impact of promotions on across-submarket competition," Journal of Business Research, Elsevier, vol. 53(3), pages 137-149, September.
    20. Erdem, Tulin & Keane, Michael P. & Sun, Baohong, 1998. "Missing price and coupon availability data in scanner panels: Correcting for the self-selection bias in choice model parameters," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 177-196, November.

    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:eee:jbrese:v:34:y:1995:i:1:p:47-56. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.