This is the initial analysis in a wider mixed methods study - it's also one of the first of it's kind because we finally have available data on Forgiven borrowers.
We wanted to know if we could see any relationships between achieving forgiveness and being in repayment (based on remaining payments) - and financial measures or reports of subjective well-being (e.g. stress and satisfaction).
We found connections between forgiveness and homeownership rates and increased FICO scores.
We didn't find statically relevant relationships to non-retirement and retirement savings - but there was functionally beneficial increases in non-retirement savings (+$100 per month).
Seems common that (dis)stress doesn't move much until people are within 12 repayments of forgiveness - lowest levels at forgiveness.
Those with 13+ repayments are usually more financially stressed, have higher levels of psych distress, and perceived stress.
Now, there was some variation in the Satisfaction With Life Scale - but again there wasn't much movement there until forgiveness.
And Job Satisfaction was poorly predicted in our models - so any argument that if PSLF works most peeps will up and leave their jobs is likely wrong.
Finally, we looked at reports of suicidal thoughts, non-script drug use, and drinking alone.
The % of people who report engaging in these behaviors spike in the same remaining payments bins that Psych Distress is elevated - these bins have the highest % of "Severe Distress".
So what? Well we see a lot of immediate benefits in borrowers who have achieved forgiveness - financially and well-being related.
And this can give us an indication of benefits for other forgiveness policies.
However....
... we collected this data during the pause and we expect that when payments resume that may outcomes become more pronounced.
For example, it's likely savings and well-being measures revise downward for those repaying - providing even more benefit to forgiveness.
We'll test it.
A few more things, we have doubled our sample size since this initial analysis but more data will allow us to drill down so if you're in #PSLF please follow the link and take our survey!
It's password protected so you have to type in PSLF to access it.
Damn it! I got excited because I had nearly 5k profiles for my PSLF survey... I started looking at the data and it's obvious the survey was being SPAM attacked with false data starting on Nov 14th.
As any data from that point on is suspect I had to shut that survey down. (1)
To the 1.3k people who have completed the survey, thank you SO VERY much. I am super appreciative here.
Luckily, I kept an eye open every time I knew people were calling for recruitment for me - so I knew (beyond the obvious data spike, randomly) who was real.
Ok, time to get into this GAO report on #IDR. Reading from the perspective of who are most likely engaged in these programs (Female, Middle-Earning, High Debt Borrowers - and potentially minority borrowers).
That abstract is catching. Credit for getting the point right away. A bit misleading though, they talk about the 7k loans eligible at $49m - but later on, those are held by 3k borrowers for $16k per borrower on average. Per borrower stat should also be up there for clarity.
2
I expect the average amount forgiven to increase over time - as the Federal Government changed the parameters of loans, more people became reliant on loans, connections to the Great Recession, and grad school enrollment. Eventually, it will get closer to averages seen in PSLF