.png){kind=icon}
Return
Models for heterogeneous variable selection
.png){kind=icon}
OA
AI
DOI：10.1509/jmkr.43.3.420.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Preference heterogeneity is a major research stream in marketing aimed at quantifying and understanding the diversity of demand for product attributes and attribute levels. In experimental settings, in which consumers are presented with simple descriptions of product offerings, continuous distributions of heterogeneity, such as the multivariate normal, provide a useful representation of preference. However, in more complex cases in which respondents have value for only a few of the benefits associated with an offering or cognitive constraints that result in selective attention to a subset of the information available, continuous distributions of heterogeneity do not reflect the possibility that a subset of the variables has nonzero effect sizes for different respondents. Identifying Which attributes are used in a brand choice decision is closely related to the statistical procedure of variable selection. This article extends variable selection methods to accommodate heterogeneity across consumers and data contexts, conditions frequently encountered in marketing studies. The authors apply the methods to a discrete-choice conjoint study in which data are collected in both full-profile and partial-profile formats.
Keywords:
REGRESSION MODELS
COMPUTATION
SITUATION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
J
IF:
5
Papers:
2.6K
Citations:
2.9W
Organization
No organization information available
Cited Papers
ShareSaveCatalytic etherification of hydroxyl compounds to methyl ethers with 1,2-dimethoxyethane.png)
RSC Advances
RSC AdvancesIF0
PREAI
ShareSaveShareSaveBuckling of thick orthotropic cylindrical shells under combined external pressure and axial compressionAIAA Journal
AIAA JournalIF0
PREAI
ShareSaveShareSaveAssociations between White Matter Hyperintensities and β Amyloid on Integrity of Projection, Association, and Limbic Fiber Tracts Measured with Diffusion Tensor MRIPLoS ONEOAAI
PLoS ONEIF0
OAAIShareSave
View more