Accounting for the rise in consumer bankruptcies
Why this work is in the frame
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Bibliographic record
Abstract
Personal bankruptcies in the United States have increased dramatically, rising from 1.4 per thousand working age population in 1970 to 8.5 in 2002. We use a heterogeneous agent life-cycle model with competitive financial intermediaries who can observe households' earnings, age and current asset holdings to evaluate several commonly offered explanations. We find that increased uncertainty (income shocks, expense uncertainty) cannot quantitatively account for the rise in bankruptcies. Instead, the rise in filings appears to mainly reflect changes in the credit market environment. We find that credit market innovations which cause a decrease in the transactions cost of lending and a decline in the cost of bankruptcy can largely accounting for the rise in consumer bankruptcy. We also argue that the abolition of usury laws and other legal changes are unimportant.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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