The product differentiation hypothesis for corporate trade credit
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Bibliographic record
Abstract
Abstract The product differentiation hypothesis for trade credit says that business managers use trade credit like advertising to differentiate their products. Prior studies of this hypothesis conclude that higher profit margins induce firms to increase trade credit and vice versa. We better represent the relation between the cost of bad debts and the price of the product offered on credit. When prices are higher, firms suffer greater losses from non‐payment. Our model shows that, contrary to early versions of the product differentiation hypothesis, when managers adjust trade credit and profit margins for a perturbation in marginal cost, optimal profit margin and trade credit may move in opposite directions. A manager maintains revenue for price elastic demand by moderating the price increase, which decreases profit margin. At the same time, the manager also increases trade credit, which serves to maintain revenue by encouraging product demand. We report evidence of a negative relation between corporate receivables and profit margin. Copyright © 2003 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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