Comments on "The optimal supply of public goods and the distortionary cost of taxation" by Louis Kaplow (National Tax Journal, 1996, 513-32)
Bibliographic record
Abstract
An ideal planner would follow the original Samuelson rule to undertake each and every public project, program or activity up to the point where the sum of its marginal benefits is just equal to its marginal cost. Actual governments modify the rule in response to the marginal cost of public funds and the shadow price of public expenditure. The first of these modifications is an additional cost of public revenue, over and above the tax people actually pay, when people rearrange their affairs to minimize their tax bills. The second is the effect - sometimes positive and sometimes negative - of the provision of the public project, program or activity on total tax revenue. Kaplow can be interpreted as arguing that these modifications cancel out, leaving the original Samuelson rule intact. He turns out to be right for public provision of intermediate goods that augment output but do not themselves enter as arguments in the utility function. Otherwise he is mistaken.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.030 | 0.022 |
| Insufficient payload (model declined to judge) | 0.023 | 0.011 |
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".