I can’t recommend enough Kelly Field’s excellent piece on the front of this week’s Chronicle of Higher Education about the true story of long-term default rates (and not just because Erin and Robin’s report on this topic gets a mention). What Field turns up isn’t pretty:
According to unpublished data obtained by The Chronicle, one in every five government loans that entered repayment in 1995 has gone into default. The default rate is higher for loans made to students from two-year colleges, and higher still, reaching 40 percent, for those who attended for-profit institutions.
We’ve known from other Department documents that default rates were always higher than expected, but to see it laid out in such clear terms is worth the read by itself. But there are three other things about the story (and the accompanying piece from Goldie Blumenstyk) that are worth highlighting.
Lots of Complexity
Over the past decade or so the Department of Education successfully established a complex and opaque system of default rates. While Field obtained some unpublished data showing the 15-year default rate for loans, the figures are impossible to compare to any other shorter-term numbers we have. In fact, there’s a chart showing how not even basic things like the year and institution type are guaranteed to match. That’s ridiculous given that we aren’t even talking about trying to see institutional level data. I’d even settle for a single default rate figure that would be comparable to the cohort figures.
Defaulted Student Loans Don’t Make Money
This is an argument that pops up from time to time—the government makes money off the collection costs of a defaulted loan, so it doesn’t matter if a borrower can’t stay in repayment. This argument stems from Office of Management and Budget assumptions that the government takes in between $111 and $122 for every $100 of a defaulted loan, but Field correctly notes “those numbers do not take into account collection costs or inflation.” In other words, a dollar of a defaulted loan collected 10 years from now is treated exactly the same as a dollar lent with no consideration of how expensive it is to obtain it or the various fees that must be paid to collection agencies or guaranty agencies.
(For what it’s worth, federal student loans don’t make money either.)
Recognizing defaulted loans have a cost is an important shift and one that would hopefully put a greater emphasis on both not wasting dollars at bad programs and also providing evidence-based assistance to keep people in repayment.
Our Existing System Understates Default
The chart leading off Blumenstyk’s piece does a nice job illustrating how it’s possible for a combination of deferment and forbearance can keep a borrower from being caught in the default rate measure without ever making a payment. (I once took a stab at a far more MS Paint heavy version in this post here.) And the Chronicle’s chart assumes that the borrowers never make a payment—in many cases even a couple months of meeting payments will be sufficient to avoid being captured in the default window. No wonder the actual default rate can be 15 or more percentage points higher. Such large discrepancies between our short-term accountability rates and actual long-term figures just underscores the weakness of the existing cohort default rate system.
Adding it Up
Field and Blumenstyk’s pieces conclusively show that the default rate problem is worse than we think, costs more than we assume, and has an insufficient regulatory structure to do anything about the first two problems. That’s a big deal, and a bad outcome for both borrowers and taxpayers.* Rather than continuing to hide these effects with non-compatible rates and misleading figures, it’s time for a frank discussion of what the default problem actually looks like and how to address it. Some of that might involve limiting or shutting down colleges and some of it might mean more work with students. But first we need a more honest accounting for these loans than we’ve gotten so far.
*This isn’t a bank-based versus government-based lending problem either. Defaulted loans are reimbursed by the government and either it or guaranty agencies handle collection activities, so the costs all go to the same place, with the cut for guarantors more than making up for the 3 percent of a defaulted loan that lenders aren’t paid for. As for the default aversion activities provided by all these groups, there’s no evidence testing their effectiveness.






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Mr. Urdan seems to have fallen victim to the “GIGO” principle. Based on the referenced Chronicle article and comments, colleges are reporting (1) enrollment info; (2) loan volumes; and (3) default info to the government. These categories of data — at least (2) and (3) — are highly-variable and vulnerable to repeated, retroactive adjustment/revision over time, from the source(s). It sounds like, if the quality of the data is considered “bad,” then the place to turn for enacting improvements in data quality is the colleges. “Garbage in, garbage out” (GIGO), Trace? And it would seem logical, as colleges’ data improve, that these updates/revisions would be incorporated into the government data reports, rather than sticking stubbornly to older, possibly outdated info, simply to avoid the “embarrassment” of posting a “correction.” Admittedly, the question remains on how Congress would enact a policy to get colleges to improve the timeliness and accuracy of their data without being perceived as “yet another unfunded mandate.” And, based on past HEA reporting requirement “controversies,” the leading opponents are likely to be the nonprofit colleges, not the state colleges or for-profit colleges. Another point, going back to the original Chronicle piece, is that these are not described as future projections, such as what will 2010’s 15-year defaults look like in 2025. At least as described in the Chronicle, these are real, historical defaults, not guesstimates of future defaults.
Sorry — one more thing.
There is a basic but completely unproven assumption that discrepancy in defaults relates to a difference in the quality of the program. Yet I have never seen data compared that normalizes for social economic stats (% of Pell for example) and program type (non-degree, two year, etc.) If seen each separately and for-profits look worse, but if you consider higher percentages of poor students and greater concentration of shorter term programs, I think the data would prove to be comparable.
The reason I believe this is, is that I have visited dozens of for-profit schools and community colleges and simply do not believe that there is a statistically meaningful difference in the quality of the programs offered that would explain different defaults.
Critics want this to be a smoking gun that proves resources should be removed from for-profit schools. But isn’t it really the case that resources should be removed from certain students? If we’re concerned about minimizing taxpayer losses?
Seems to me the federal aid policy is about minimizing taxpayer cost per graduate, acknowledging that in dealing with vocational education, many students are not going to succeed. Nothing in these default rate data swamps the evidence that suggests when you account for better completion rates at FP schools, corporate taxes and state and municipal subsidies to community colleges, that for-profit schools end up being a comparable or arguably better deal for taxpayers.
Respectfully — and I say this with legitimate admiration for your work — if the goal is to really find the truth and not just the truth that suits an ideology, this should be the focus of your next study.
Here’s my question though: where do these estimates come from? Who made these projections and based on what data? What permission do we have to believe that these projected data are not manipulated for policy purposes? The Department’s data is notoriously bad in every other sphere — what makes this projection so accurate.
Intuitively it makes no sense at all. Most of the students that default do so for programs where they drop out. Most of the drop-outs occur soon after matriculation. So while it makes sense that three-years does not capture all of this, it surely captures most. And certainly most of the dollars.
Corinthian Colleges has suggested that to move its two-year defaults below 25% across all of its OPEIDs would cost less than $1 million. Intuitively that data point makes perfect sense.
How can the the Department float this data without taking responsibility for it.