Modeling Joint Purchases with a Multivariate MNL Approach

This file is part of IDEAS, which uses RePEc data

Modeling Joint Purchases with a Multivariate MNL Approach

Author Info

Yasemin Boztuğ
Lutz Hildebrandt

Additional information is available for the following registered author(s):

Yasemin Boztug

Abstract

Our research examines the hypothesis that products chosen on a shopping trip to a supermarket indicate the preference interdependencies of consumers between different products or brands. The bundle chosen on the trip can be regarded as an indicator of a global utility function. This function implies a cross-category dependence of brand choice behavior. We hypothesize that the global utility function related to a product bundle is the result of the marketing-mix of the underlying brands. The structure of the chosen products allows us to uncover the impact of certain marketing-mix variables and product bundle buying behavior.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

Publisher Info
Article provided by LMU Munich School of Management in its journal Schmalenbach Business Review.

Volume (Year): 60 (2008)
Issue (Month): 4 (October)
Pages: 400-422
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:sbr:abstra:v:60:y:2008:i:4:p:400-422

Contact details of provider:
Postal: Geschwister-Scholl-Platz 1, 80539 Muenchen
Phone: 0049 89 2180 2166
Fax: 0049 89 2180 6327
Email:
Web page: http://www.sbr-online.com
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (sbr).

Find related papers by JEL classification:
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
M31 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Marketing

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to register as authors.

This page was last updated on 2009-12-6.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.