Residential Electricity Pricing in Texas’s Competitive Retail Market
Bibliographic record
Abstract
Using a large sample of residential retail electricity plans advertised on the Public Utility Commission of Texas’s Power-to-Choose website between during January 2014 to December 2018, our panel regression analysis finds changes in the projected wholesale price of electricity are not fully reflected as changes in these plans’ price quotes. The estimated rates of wholesale price pass-through range from 43% to 45%. Retailers tend to charge risk premia that increase with wholesale price volatility. Prepayment and time-of-use plans likely contain price premia. The price premia associated with higher-than-average renewable energy contents in the early years of our sample have largely vanished by 2018. Longer contract terms come at a higher price. Finally, increased customer switching tends to reduce retail price quotes, implying that Texas’s residential retail market can be made more price competitive through consumer education on plan choices and dissemination of credible price information.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.003 |
| 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 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".