Modeling consideration sets and brand choice using artificial neural networks.

DOI10.1016/S0377-2217(02)00673-2zbMath1099.91531OpenAlexW2100833695MaRDI QIDQ1420429

Philip Hans Franses, Björn Vroomen, Erjen van Nierop

Publication date: 2 February 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(02)00673-2

zbMATH Keywords

Brand choiceArtificial neural networkConsideration set

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Consumer behavior, demand theory (91B42)

Uses Software

• Ox

Cites Work

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• Determining market response functions by neural network modeling: A comparison to econometric techniques
• Markov chain Monte Carlo and models of consideration set and parameter heterogeneity
• Recognizing changing seasonal patterns using artificial neural networks
• Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
• Two-stage discrete choice models for scanner panel data: An assessment of process and assumptions
• A flexible brand choice model based on neural net methodology
• Artificial neural networks: an econometric perspective^∗

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