The Effect of Default Rates on Retail Competition and Pricing Decisions of Competitive Retailers: The Case of Alberta
Bibliographic record
Abstract
We investigate the impacts of default regulated products and their design on the development of competitive retail markets and retailers' pricing decisions. We analyze this question in the context of Alberta's competitive retail electricity market, using data on the prices and characteristics of both regulated and unregulated retail products from July 2006 to March 2017. Our analysis consists of a descriptive discussion of the evolution of market structure in the industry, followed by an econometric analysis of the effect of default prices on unregulated retail prices. We find that as the default product moved from being a long-term stable product, to one based on short-term forward market prices, the number of products and competitors increased substantially. This suggests that the change in the default product was successful at facilitating the development of a competitive retail market. However, our econometric analysis of the pricing of unregulated contracts suggests that competitive retailers may continue to exercise market power by adjusting prices upward in response to short-term changes in the regulated rate, even after controlling for changes in the costs of providing retail products.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".