Neural networks and the multinomial logit for brand choice modelling: a hybrid approach
Journal of ForecastingPublished 1 April 2000
Y. Bentz, Dwight Merunka
Citations121
SJR quartileQ1
SJR score0.70
SNIP1.09
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TL;DR
It is shown that a Feedforward Neural Network with Softmax output units and shared weights can be viewed as a generalization of the Multinomial Logit model, which is used as a diagnostic and specification tool for the Logit, which will provide interpretable coefficients and significance statistics.
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Decision SciencesEconomics, Econometrics and FinanceBusiness, Management and Accounting
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