Who pays for universal service?: when telephone subsidies become transparent
Bibliographic record
Abstract
In virtually every country, the price of residential access to the telephone network is kept low and cross-subsidized by business services, long distance calling, and various other telephone services. This pricing practice is widely defended as necessary to promote universal service, but Crandall and Waverman show that it has little effect on telephone subscriptions while it has major harmful effects on the value of all telephone service. The higher prices for long distance calls reduce calling, shift the burden of paying for the network to those whose social networks are widely dispersed. Therefore, many poor and rural households--the intended beneficiaries of the pricing strategy--are forced to pay far more for telephone service than they would if prices reflected the cost of service. Despite these burdens, Congress has extended the subsidies to advanced services for schools, libraries, and rural health facilities. Crandall and Waverman show that other regulated utilities are not burdened with similarly inefficient cross-subsidy schemes, yet universality of water, natural gas, and electricity service is achieved. As local telephone service competition develops in the wake of the 1996 Telecommunications Act, the universal-service subsidy system will have to change. Subsidies will have to be paid from taxes on telecom services and paid directly to carriers or subscribers. Crandall and Waverman show that an intrastate tax designed to pay for each state's subsidized subscriptions is far less costly to the economy than an interstate tax. Robert W. Crandall is a senior fellow in Economic Studies at the Brookings Institution. Leonard Waverman is a visiting professor at the London Business School, on leave from the University of Toronto. They are coauthors of Talk Is Cheap: The Promise of Regulatory Reform in North American Telecommunications (Brookings, 1995).
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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 | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.008 | 0.019 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".