IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v17y1971i8pb519-b532.html
   My bibliography  Save this article

The Information Content of Prices: A Preliminary Model for Estimating Buyer Response

Author

Listed:
  • Kent B. Monroe

    (University of Massachusetts)

Abstract

An understanding of buyer response to price depends upon determining how buyers perceive price. One hypothesis is buyers have an acceptable range of prices and, therefore, the demand curve is backward bending. This article presents an a priori argument for a new research methodology for estimating buyers' responses to price. Two concepts are introduced to aid the development of the model. The potential applicability of the Weber-Fechner Law of psychophysics for exploring the price-quality relationship is analyzed and provides the basis of the argument that the demand function can be represented logarithmically. Given the desire to express demand as a logarithmic function of price, the lognormal distribution is used to explore the ramifications of the relationship. Finally, the method of profit analysis is developed for obtaining demand estimates.

Suggested Citation

  • Kent B. Monroe, 1971. "The Information Content of Prices: A Preliminary Model for Estimating Buyer Response," Management Science, INFORMS, vol. 17(8), pages 519-532, April.
  • Handle: RePEc:inm:ormnsc:v:17:y:1971:i:8:p:b519-b532
    DOI: 10.1287/mnsc.17.8.B519
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.17.8.B519
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.17.8.B519?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
    ---><---

    Citations

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


    Cited by:

    1. Stuart Read & Stefan Michel & Jan H. Schumann & Kumar Rakesh Ranjan, 2019. "Pricing co-created value: an integrative framework and research agenda," AMS Review, Springer;Academy of Marketing Science, vol. 9(3), pages 155-183, December.
    2. Rashmi Adaval, 2013. "The utility of an information processing approach for behavioral price research," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 130-134, September.
    3. Hsin‐Hui Lin & Pin‐Han Chen & Chih‐Lun Wu, 2023. "Exploring the price anchoring effect in mobile commerce: An experimental study," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1601-1623, April.
    4. Katja Gelbrich & Holger Roschk, 2011. "Do complainants appreciate overcompensation? A meta-analysis on the effect of simple compensation vs. overcompensation on post-complaint satisfaction," Marketing Letters, Springer, vol. 22(1), pages 31-47, March.
    5. Chatterjee, Sidharta, 2017. "A Primer on Social Knowledge," MPRA Paper 81105, University Library of Munich, Germany, revised 02 Sep 2017.
    6. Lillian L. Cheng & Kent B. Monroe, 2013. "An appraisal of behavioral price research (part 1): price as a physical stimulus," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 103-129, September.

    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:inm:ormnsc:v:17:y:1971:i:8:p:b519-b532. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.