Abstract

http://ssrn.com/abstract=1749573
 


 



Credit Card Behavior, Financial Styles, and Heuristics


Hersh Shefrin


Santa Clara University - Leavey School of Business

Christina M. Nicols


affiliation not provided to SSRN

January 22, 2011


Abstract:     
The paper makes four contributions. First, it provides new data and findings about credit card usage segmentation in respect to spending and borrowing behavior. Second, it sets the new findings against the backdrop of the newly emerging literature on financial literacy. There is great variability in financial literacy across American consumers. Third, it describes fast and frugal heuristics aimed to help consumers make effective, and in some cases better, budgeting decisions when they use credit cards. Fourth, it describes the introduction of a new set of online financial tools, offered by a large credit card company, which consumers are now using to make decisions about their spending and borrowing, and links these tools to the heuristics under discussion. Fast and frugal heuristics are likely to be especially valuable to consumers with low confidence in their online skills. Notably, 25 percent of credit card holders report they have low confidence using online technology to manage their finances, with the corresponding figure being 44 percent for those most at risk.

Number of Pages in PDF File: 27

Keywords: behavioral finance, credit-card, borrowing behavior, heuristics, consumer confidence

JEL Classification: G00, G20

working papers series


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Date posted: January 28, 2011  

Suggested Citation

Shefrin, Hersh and Nicols, Christina M., Credit Card Behavior, Financial Styles, and Heuristics (January 22, 2011). Available at SSRN: http://ssrn.com/abstract=1749573 or http://dx.doi.org/10.2139/ssrn.1749573

Contact Information

Hersh Shefrin (Contact Author)
Santa Clara University - Leavey School of Business ( email )
Dept. of Finance
Santa Clara, CA 95053
United States
408-554-6893 (Phone)
408-554-4029 (Fax)
Christina M. Nicols
affiliation not provided to SSRN ( email )
Feedback to SSRN


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