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Consumer purchasing behavior analysis using CVS POS data

Author

Listed:
  • Kaoru Kuramoto

    (Aoyama-Gakuin University)

  • Yosuke Kurihara

    (Aoyama-Gakuin University)

  • Satoshi Kumagai

    (Aoyama-Gakuin University)

Abstract

In this study, the purchase behavior of customers is analyzed using the purchase history data of convenience stores for one year. Therefore, considering the number of visits to the store, the purchase price, and personal attributes, we use the maximum likelihood method to estimate the customer's selection probability of ?continuation? and ?separation?. AIC is used as a model evaluation index.

Suggested Citation

  • Kaoru Kuramoto & Yosuke Kurihara & Satoshi Kumagai, 2020. "Consumer purchasing behavior analysis using CVS POS data," Proceedings of International Academic Conferences 10012494, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:10012494
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    File URL: https://iises.net/proceedings/iises-international-academic-conference-dubai/table-of-content/detail?cid=100&iid=010&rid=12494
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    More about this item

    Keywords

    Simultaneous purchaseConsumer attributesmaximum likelihood methodlogit modelAIC;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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