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Learning in the Credit Card Market

Listed author(s):
  • Sumit Agarwal
  • John C Driscoll
  • Xavier Gabaix
  • David Laibson

Agents with more experience make better choices. We measure learning dynamics using a panel with four million monthly credit card statements. We study add-on fees, specifically cash advance, late payment, and overlimit fees. New credit card accounts generate fee payments of $15 per month. Through negative feedback -- i.e. paying a fee -- consumers learn to avoid triggering future fees. Paying a fee last month reduces the likelihood of paying a fee in the current month by about 40%. Controlling for account fixed effects, monthly fee payments fall by 75% during the first three years of account life. We find that learning is not monotonic. Knowledge effectively depreciates about 10% per month, implying that learning displays a strong recency effect.

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Paper provided by David K. Levine in its series Levine's Working Paper Archive with number 122247000000002028.

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Date of creation: 21 Mar 2008
Handle: RePEc:cla:levarc:122247000000002028
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