An Empirical Analysis of the Firm's Reorganization Decision
Bibliographic record
Abstract
Résumé Le cadre théorique proposé par Bulow & Shoven et ensuite par White constitue le fondement de l’analyse du choix des entreprises insolvables entre la liquidation et la réorganisation financière. Or, ce cadre théorique n’a jamais fait l’objet d’études empiriques. Cet article propose de tester empiriquement le choix des entreprises entre la liquidation et la réorganisation sur la base de micro données de 640 entreprises canadiennes insolvables. Les résultats tendent à confirmer les prédictions du modèle, c’est à dire que la probabilitié qu’une entreprise opte pour la réorganisation augmente avec le montant des actifs non garantis, la pourcentage de réduction de la dette non garantie et la taille de l’entreprise alors qu’elle diminue avec la valeur de liquidation des actifs. Les résultats montrent également que le cadre proposé par Bulow-Shoven-White est incomplet. En effet, le choix de la réorganisation financière dépend également de la proportion des créances gouvernementales, du statut juridique de l’entreprise et du ratio actif/passif.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 source (direct Gemma or distilled Codex), 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".