Spatial Models in Marketing

Eric Bradlow, Bart J. Bronnenberg, Gary Russell (), Neeraj Arora, David Bell, Sri Duvvuri, Frankel Hofstede, Catarina Sismeiro, Raphael Thomadsen and Sha Yang

Marketing Letters, 2005, vol. 16, issue 3, pages 267-278

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 cross-sectional 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. Copyright Springer Science + Business Media, Inc. 2005

Date: 2005
View list of references View citations in EconPapers

Downloads: (external link)
http://hdl.handle.net/10.1007/s11002-005-5891-3 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:kap:mktlet:v:16:y:2005:i:3:p:267-278

Access Statistics for this article

Marketing Letters is edited by Randolph E. Bucklin and Joel E. Urbany

More articles in Marketing Letters from Springer
Series data maintained by Christopher F. Baum ().