An Evaluation of Alternative Market‐Based Transfer Prices
Bibliographic record
Abstract
ABSTRACT We investigate a transfer pricing problem between two divisions within a decentralized firm. An upstream division produces an intermediate good that is used by another division within the firm and is also sold in an external market, where the firm competes with a rival selling a differentiated substitute product. Assuming that headquarters has imperfect information about the upstream division's private information and that communication is restricted, we identify conditions under which the firm will prefer a market‐based transfer price based on the market price set by the firm's rival rather than on the market price set by the upstream division. The two transfer prices affect the price‐setting incentives of the upstream division and its rival differently, and convey different levels of private‐cost information to the downstream division, which impacts internal trade efficiency. The relative performance of the two transfer pricing regimes depends on the relative size of internal versus external demand for the upstream division's good and on the degree of uncertainty about the upstream division's costs. Overall, our analysis provides new insights about how alternative market‐based transfer prices can coordinate decentralized decision‐making in the absence of a perfectly competitive intermediate market.
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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 | 0.009 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".