Some Applied Economics of Utility Regulation A Paper in Honor of David Newbery
Why this work is in the frame
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Bibliographic record
Abstract
This paper seeks to bring to the attention of regulatory economists and policymakers the existence of some approaches to utility regulation that have hitherto received little or no attention in the economics literature. It begins by noting that regulatory actions have discouraged certain kinds of retail contracts in the UK that are offered in Nordic countries, almost extinguished retail competition in Ohio, and distorted the market for merchant interconnectors in Australia. In contrast, Argentina secured an efficient appraisal and implementation of transmission expansions by empowering users and severely limiting the role for regulation. Some US and Canadian jurisdictions have fostered the emergence of negotiated settlements that exhibit considerable innovation, and greater benefits for all parties than would have been possible with the conventional regulatory approach. These examples of the actual regulatory world can inform the work of theorists and policymakers.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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