The CARD Act works
Every now and then you see a published result that has exactly the right kind of data, in sufficient amounts, to make the required claim. It’s rare but it happens, and as a data lover, when it happens it is tremendously satisfying.
Today I want to share an example of that happening, namely with this paper entitled Regulating Consumer Financial Products: Evidence from Credit Cards (hat tip Suresh Naidu). Here’s the abstract:
We analyze the effectiveness of consumer financial regulation by considering the 2009 Credit Card Accountability Responsibility and Disclosure (CARD) Act in the United States. Using a difference-in-difference research design and a unique panel data set covering over 150 million credit card accounts, we find that regulatory limits on credit card fees reduced overall borrowing costs to consumers by an annualized 1.7% of average daily balances, with a decline of more than 5.5% for consumers with the lowest FICO scores. Consistent with a model of low fee salience and limited market competition, we find no evidence of an offsetting increase in interest charges or reduction in volume of credit. Taken together, we estimate that the CARD Act fee reductions have saved U.S. consumers $12.6 billion per year. We also analyze the CARD Act requirement to disclose the interest savings from paying off balances in 36 months rather than only making minimum payments. We find that this “nudge” increased the number of account holders making the 36-month payment value by 0.5 percentage points.
That’s a big savings for the poorest people. Read the whole paper, it’s great, but first let me show you some awesome data broken down by FICO score bins:
This data, and the results in this paper, fly directly in the face of the myth that if you regulate away predatory fees in one way, they will pop up in another way. That myth is based on the assumption of a competitive market with informed participants. Unfortunately the consumer credit card industry, as well as the small business card industry, is not filled with informed participants. This is a great example of how asymmetric information causes predatory opportunities.