Journal article
Spatial Models in Marketing
Marketing letters, Vol.16(3/4), pp.267-278
12/01/2005
DOI: 10.1007/s11002-005-5891-3
Abstract
Marketing science models typically assume that responses of one entity (firm or consumer) are unrelated to responses of other entities. In contrast, models constructed using tools from spatial statistics allow for crosssectional and longitudinal correlations among responses to be explicitly modeled by locating entities on some type of map. By generalizing the notion of a map to include demographic and psychometric representations, spatial models can capture a variety of effects (spatial lags, spatial autocorrelation, and spatial drift) that impact firm or consumer decision behavior. Marketing science applications of spatial models and important research opportunities are discussed.
Details
- Title: Subtitle
- Spatial Models in Marketing
- Creators
- Eric T. Bradlow - University of PennsylvaniaBart Bronnenberg - UCLA HealthGary J. RussellNeeraj Arora - University of WisconsinDavid R. Bell - University of PennsylvaniaSri Devi Duvvuri - University of IowaFrankel Ter HofstedeCatarina Sismeiro - Imperial College LondonRaphael Thomadsen - Columbia UniversitySha Yang - New York University
- Resource Type
- Journal article
- Publication Details
- Marketing letters, Vol.16(3/4), pp.267-278
- Publisher
- Springer
- DOI
- 10.1007/s11002-005-5891-3
- ISSN
- 0923-0645
- eISSN
- 1573-059X
- Language
- English
- Date published
- 12/01/2005
- Academic Unit
- Marketing
- Record Identifier
- 9984380543302771
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