Just Released: More Credit Cards, Higher Limits, and . . . an Uptick in Delinquency
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Today the New York Fed’s Center for Microeconomic Data released its Quarterly Report on Household Debt and Credit for the second quarter of 2017. Overall debt balances increased in the period, continuing their moderate growth since 2013. Nearly all types of balances grew, with mortgages and auto loans rising by $64 billion and $23 billion, respectively. Credit card balances increased by $20 billion, recovering from the typical seasonal first-quarter decline. The overall balance surpassed its previous peak in the first quarter. We wrote here about how the new peak poses little concern in and of itself—after all, the debt’s composition and characteristics are now very different than in 2008. There are, however, aspects of the household balance sheet that warrant close monitoring. For example, last year, we pointed out that there had been a moderate rise in the number of credit cards issued to nonprime borrowers. Separately, last quarter we noted an uptick in delinquency transitions for credit card balances, and we observed another climb in this quarter. So here, we further investigate how credit card balances, accounts, and delinquencies have evolved over the past year.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it