Alternative Methods for Studying Consumer Payment Choice

Oz Shy

No 2020-8, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta

Abstract: Using machine learning techniques applied to consumer diary survey data, the author of this working paper examines methods for studying consumer payment choice. These techniques, especially when paired with regression analyses, provide useful information for understanding and predicting the payment choices consumers make.

Keywords: studying consumer payment choice; point of sale; statistical learning; machine learning (search for similar items in EconPapers)
JEL-codes: C19 E42 (search for similar items in EconPapers)
Pages: 25
Date: 2020-06-23
New Economics Papers: this item is included in nep-big, nep-com, nep-dcm, nep-mac and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in FRBA Working Papers

Downloads: (external link)
https://www.frbatlanta.org/-/media/documents/resea ... r-payment-choice.pdf Full text (application/pdf)

Related works:
Working Paper: Alternative Methods for Studying Consumer Payment Choice (2020)
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:fip:fedawp:88473

Ordering information: This working paper can be ordered from
pubs@frbatlanta.org

DOI: 10.29338/wp2020-08

Access Statistics for this paper

More papers in FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta Contact information at EDIRC.
Bibliographic data for series maintained by Rob Sarwark (rob.sarwark@atl.frb.org).