Universities of Western Ontario and Warwick
Bibliographic record
Abstract
Most economists ’ instinctive reaction to price controls is that they are harmful. If enforced, they result in shortages and resource misallocation. With weak enforcement they often result in black markets, and high transaction costs. In this paper we assess the pros and cons of rice price controls in Vietnam given these instincts. We argue that these price controls fix producer prices and allow government marketing agencies to sell at higher prices and hence are, in part, a revenue raising device. As such they may be part of an efficient tax mix, particularly so since agricultural incomes and production go untaxed under the formal tax system. We also argue that such controls can act to dampen costly domestic adjustments in the face of volatile world prices. We develop a multi sector multi household general equilibrium model to numerically analyse the consequences of these price controls, and show that this system can be supported as welfare enhancing under conditions which currently prevail in the Vietnamese economy. The case against price controls may hold in other circumstances, but in this case the arguments seem to be more nuanced.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.702 | 0.330 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".