Default and Repayment Among Baccalaureate Degree Earners
Bibliographic record
Abstract
More than low default rates, lenders are interested in the expected return on their loans. In this paper, we consider a number of other measures of repayment and nonpayment that are likely to be of direct interest to lenders. Using data from the Baccalaureate and Beyond Longitudinal Study, we document repayment and nonpayment outcomes 10 years after graduation for American students receiving BA/BS degrees in 1993. We estimate differences in these outcomes across individual/family background characteristics, college major, type of institution, the amount borrowed, and post-graduation income. A key contribution is our analysis of the following outcomes in addition to student loan default rates: the fraction of the original undergraduate loan amount repaid as of 2003, nonpayment rates (including deferment and forbearance as well as default), and the fraction of original undergraduate loan amounts on which borrowers defaulted or are currently not repaying.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".