Investigating consumers’ store-choice behavior via hierarchical variable selection

@article{Sato2019InvestigatingCS,
  title={Investigating consumers’ store-choice behavior via hierarchical variable selection},
  author={Toshiki Sato and Yuichi Takano and Takanobu Nakahara},
  journal={Advances in Data Analysis and Classification},
  year={2019},
  pages={1-19}
}
This paper is concerned with a store-choice model for investigating consumers’ store-choice behavior based on scanner panel data. Our store-choice model enables us to evaluate the effects of the consumer/product attributes not only on the consumer’s store choice but also on his/her purchase quantity. Moreover, we adopt a mixed-integer optimization (MIO) approach to selecting the best set of explanatory variables with which to construct the store-choice model. We devise two MIO models for… 
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