• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    • Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Forecasting Shares for Multiple Purchases: Towards a Test of the New Individual-level Multinomial Probit

    Thumbnail
    View/Open
    26393_1.pdf (121.4Kb)
    File version
    Version of Record (VoR)
    Author(s)
    Winzar, Hume
    Bloxsome, Ellen
    Mills, Michael
    Griffith University Author(s)
    Winzar, Hume F.
    Mills, Michael K.
    Year published
    2004
    Metadata
    Show full item record
    Abstract
    We report on a field test of a new Individual-level Multinomial Probit (IMNP) model that applies to stated preference data gathered at the level of the individual consumer. Instead of inferring a covariance matrix of brand alternatives from a large sample of revealed preferences at the group level, this approach derives a covariance matrix from brand attribute similarities, weighted by the attribute importances for each consumer. The proposed IMNP simulator is not subject to the problem of Independence from Irrelevant Alternatives (IIA). Results from a Monte Carlo simulation show that the simulator performs as well as or ...
    View more >
    We report on a field test of a new Individual-level Multinomial Probit (IMNP) model that applies to stated preference data gathered at the level of the individual consumer. Instead of inferring a covariance matrix of brand alternatives from a large sample of revealed preferences at the group level, this approach derives a covariance matrix from brand attribute similarities, weighted by the attribute importances for each consumer. The proposed IMNP simulator is not subject to the problem of Independence from Irrelevant Alternatives (IIA). Results from a Monte Carlo simulation show that the simulator performs as well as or better than the traditional Maximum Utility Rule (MUR) in ordinary situations, but is particularly useful with small samples. The simulator lends itself to forecasting shares for product assortments and frequently repurchased product classes. The paper outlines the new IMNP and reports on preliminary steps of a field test of the model, testing forecasting accuracy of students’ preferences of confectionary in product assortment selection and repeat purchase situations.
    View less >
    Conference Title
    Marketing Accountabilities and Responsibilities, Proceedings of Australian & New Zealand Marketing Academy 2004
    Publisher URI
    https://anzmac.wildapricot.org/
    Copyright Statement
    © The Author(s) 2004. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the author(s).
    Publication URI
    http://hdl.handle.net/10072/2319
    Collection
    • Conference outputs

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander