IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v1y1982i2p181-204.html
   My bibliography  Save this article

Patterns in Parameters of Buyer Behavior Models: Generalizing from Sparse Replication

Author

Listed:
  • John U. Farley

    (Graduate School of Business, Columbia University, New York, New York 10027)

  • Donald R. Lehmann

    (Graduate School of Business, Columbia University, New York, New York 10027)

  • Michael J. Ryan

    (Graduate School of Business Administration, University of Michigan, Ann Arbor, Michigan 48109)

Abstract

Elasticities calculated from estimates of parameters in four consumer behavior system models are pooled in order to assess systematic differences related to variables and to study characteristics. The pooling proves to be plausible because the elasticities from particular variable pairings do not vary systematically with study characteristics. Few elasticities other than those associated with controllable exogenous variables (price and distribution) differ significantly from the overall mean, although the mean elasticity is significantly different from zero. The magnitudes of estimated elasticities indicate that the system would tend to converge after being subjected to external shock.

Suggested Citation

  • John U. Farley & Donald R. Lehmann & Michael J. Ryan, 1982. "Patterns in Parameters of Buyer Behavior Models: Generalizing from Sparse Replication," Marketing Science, INFORMS, vol. 1(2), pages 181-204.
    • Handle: RePEc:inm:ormksc:v:1:y:1982:i:2:p:181-204
    DOI: 10.1287/mksc.1.2.181
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1.2.181
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mksc.1.2.181?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. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    2. Hans H. Bauer & Marc Fischer & Yvonne McInturff, 1999. "Der Bildkommunikationseffekt — eine Metaanalyse," Schmalenbach Journal of Business Research, Springer, vol. 51(9), pages 805-831, September.
    3. Pradeep K. Chintagunta & Ramarao Desiraju, 2005. "Strategic Pricing and Detailing Behavior in International Markets," Marketing Science, INFORMS, vol. 24(1), pages 67-80, June.

    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:1:y:1982:i:2:p:181-204. 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.