MARKET POWER IN POWER MARKETS: THE CASE OF FRENCH WHOLESALE ELECTRICITY MARKET
Why this work is in the frame
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Bibliographic record
Abstract
The French wholesale market is set to expand in the next few years under European pressures and national decisions. In this paper, we investigate the performance of the French wholesale power market to examine whether or not the equilibrium outcomes are competitive. After a literature review on the different existing models, an extension of the Bresnahan - Lau (1982) method in panel data framework is employed with hourly dataset during 2009-2012 on the French wholesale market. The model-based results suggest that though market power is found statistically significant in several peak-load hours, it stays at very low level. On average, no market power is exercised over the examined period. These results correspond with the extremely regulated wholesale power market in France. It is of high interest given the future evolution of the French wholesale market which will be among the biggest in Europe in 2016 after the end of regulated tariffs for all firms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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