Consumer purchasing behavior analysis using CVS POS data

Kaoru Kuramoto (), Yosuke Kurihara () and Satoshi Kumagai ()
Additional contact information
Kaoru Kuramoto: Aoyama-Gakuin University
Yosuke Kurihara: Aoyama-Gakuin University
Satoshi Kumagai: Aoyama-Gakuin University

No 10012494, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

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.

Keywords: Simultaneous; purchaseConsumer; attributesmaximum; likelihood; methodlogit; modelAIC (search for similar items in EconPapers)
JEL-codes: C23 (search for similar items in EconPapers)
Pages: 1 page
Date: 2020-02
New Economics Papers: this item is included in nep-pay
References: Add references at CitEc
Citations:

Published in Proceedings of the Proceedings of the 53rd International Academic Conference, Dubai, Feb 2020, pages 19-19

Downloads: (external link)
https://iises.net/proceedings/iises-international- ... 00&iid=010&rid=12494 First version, 2020

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:10012494

Access Statistics for this paper

More papers in Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Bibliographic data for series maintained by Klara Cermakova ().