Consumer bankruptcy: Decision, choice and access to credit afterwards
Bibliographic record
Abstract
Abstract We examine the effects of the bankruptcy benefit and adverse events on the consumer bankruptcy decision. Employing zero‐inflated ordered probit models and a unique longitudinal survey of approximately 66,000 individuals in Great Britain, we find that consumers are more likely to enter into bankruptcy proceedings when the bankruptcy benefit increases and when they become unemployed. We find that the effects of adverse events differ across bankruptcy types. Individuals who experience the onset of health problems are more likely to choose reorganization of debts (i.e., income gleaning ), whereas individuals who get divorced or separated are more likely to prefer the discharge of debts (i.e., fresh start ). We also examine access to credit after bankruptcy. We find that individuals are excluded from the credit markets post‐bankruptcy and the impact differs across bankruptcy types. Credit exclusion for fresh starters is dramatic, swift but short‐lived, while for income gleaners, it is gradual, slow but lasts longer.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 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 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".