Market Power Indices and Wholesale Price Elasticity of Electricity Demand
Bibliographic record
Abstract
We investigate price responsiveness of wholesale electricity customers in the hourly Ontario wholesale electricity market. We use detailed generator and market level data to calculate market power measures such as the Lerner Index, Residual Supplier Index, and Pivotal Supplier Index which are combined with the competition model to structurally estimate price elasticity of demand in peak hours of summer and winter seasons. We find that the hourly price elasticities are small and change over the peak hours of seasons and years. For instance, in 2008 the elasticity estimates are in the interval of (0.019, 0.083). Comparing high demand winter hours to summer hours indicates that consumers’ price responsiveness is lower in summer than in winter. We also employ these indices along with the estimated price elasticities to project the likely impacts of interconnection capacity expansions on market prices. Our calibrations show that even small amount of transmission investments (and hence trade activities) can result in substantial market price reductions.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".