Efficiency out of disorder: Contested ownership in incomplete contracts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In many situations, irreconcilable disagreements between players lead to costly ownership disputes over assets—for example, in case of joint ownership. This article studies the role of such disputes in a situation where two players have to make a transaction‐specific investment and when contracts are incomplete. I show that potentially contested ownership may mitigate the inefficiency of investments due to the incompleteness of contracts generating an exchange surplus that comes closer to the first‐best surplus as compared to any other ex ante distribution of ownership typically discussed in the literature following the influential work by Grossman, Hart, and Moore. If the contest is an all‐pay auction, each player makes a transaction‐specific investment as if he or she owns the asset. This article can explain why shared ownership—as for example in equity joint ventures, family firms, start‐up partnerships, and so on—is an important part of today's corporate landscape.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it