Bibliographic record
Abstract
We develop a general equilibrium tax model to evaluate the impacts of equal yield base broadening in indirect taxes from high rate narrow based (typically manufactures) taxes to broad based taxes (including services) such as a VAT. We capture differences in choice of mode of supply between market goods, such as manufactures, which cannot be supplied other than through the market, and self-suppliable services and informal sector supplied products. Using this formulation, we are able to provide numerical examples of welfare worsening VAT base broadening, which expands the tax base from market based manufactures, in which there are few (or no) non taxed supply possibilities, to all goods and services where such possibilities exist. We show that the usual presumption that there are welfare benefits from equal yield VAT base broadening breaks down once tax induced increases in self supply of previously non taxed goods and services and in informal sector activity (in small scale construction and other areas) are taken into account. Moreover, since untaxed informal sector supply is typically from lower income to higher income households, they gain as comparable informal sector activity is taxed under the base broadening change. We provide a calibrated version of the model, which captures Canadian base broadening accompanying the introduction of the Canadian VAT (GST) in 1990. Results show the change to have been welfare worsening in aggregate but progressive; opposite to conventional belief. Aggregate welfare losses increase sharply if pre-existing income taxes enter the analysis, since VAT induced supply side losses compound with the income tax, while consumption side tax rate variance reducing gains do not
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".