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Spatial models in marketing research and practice

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  • Bart J. Bronnenberg

Abstract

Spatial models formalize how cross‐sectional observations relate to each other as a function of their spatial location. This paper discusses the generality of such models and how they are helpful to marketing practitioners in the description of marketing data, segmentation of markets, prediction of market behaviour, and the pooling of data. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Bart J. Bronnenberg, 2005. "Spatial models in marketing research and practice," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(4‐5), pages 335-343, July.
    • Handle: RePEc:wly:apsmbi:v:21:y:2005:i:4-5:p:335-343
    DOI: 10.1002/asmb.565
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    Cited by:

    1. Liu, Zhuping & Duan, Jason A & Mahajan, Vijay, 2020. "Dynamics and peer effects of brand revenue in college sports," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 756-771.
    2. P. Baecke & D. Van Den Poel, 2012. "Including Spatial Interdependence in Customer Acquisition Models: a Cross-Category Comparison," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/788, Ghent University, Faculty of Economics and Business Administration.
    3. P. Baecke & D. Van Den Poel, 2012. "Improving Customer Acquisition Models by Incorporating Spatial Autocorrelation at Different Levels of Granularity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/819, Ghent University, Faculty of Economics and Business Administration.
    4. Vincent Nijs & Kanishka Misra & Eric T. Anderson & Karsten Hansen & Lakshman Krishnamurthi, 2010. "Channel Pass-Through of Trade Promotions," Marketing Science, INFORMS, vol. 29(2), pages 250-267, 03-04.
    5. Akim Adekpedjou & Sophie Dabo‐Niang, 2021. "Semiparametric estimation with spatially correlated recurrent events," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(4), pages 1097-1126, December.
    6. Benjamin Verhelst & Dirk Van den Poel, 2014. "Deep habits in consumption: a spatial panel analysis using scanner data," Empirical Economics, Springer, vol. 47(3), pages 959-976, November.
    7. Müller, Sven & Wilhelm, Pascal & Haase, Knut, 2013. "Spatial dependencies and spatial drift in public transport seasonal ticket revenue data," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 334-348.
    8. Stanislav Stakhovych & Tammo H.A. Bijmolt, 2009. "Specification of spatial models: A simulation study on weights matrices," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 389-408, June.
    9. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
    10. Akira Matsui & Daisuke Moriwaki, 2022. "Online-to-offline advertisements as field experiments," The Japanese Economic Review, Springer, vol. 73(1), pages 211-242, January.
    11. Kim, Sunghoon & DeSarbo, Wayne S. & Chang, Won, 2021. "Note: A new approach to the modeling of spatially dependent and heterogeneous geographical regions," International Journal of Research in Marketing, Elsevier, vol. 38(3), pages 792-803.
    12. Moon, Sangkil & Jalali, Nima & Song, Reo, 2022. "Green-lighting scripts in the movie pre-production stage: An application of consumption experience carryover theory," Journal of Business Research, Elsevier, vol. 140(C), pages 332-345.
    13. Duncan A. Robertson, 2019. "Spatial Transmission Models: A Taxonomy and Framework," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 225-243, January.

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