The Impact of the Fiscal Policy on Income and the Consumption of the Poor Households in Morocco: An Analysis with a Computable General Equilibrium Model (CGEM)
Bibliographic record
Abstract
This article examines the effects of the fiscal policy on income and the consumption of the poor households in urban and rural areas. The evaluation of this impact is carried out by the use of a real and static Computable General Equilibrium Model (CGEM) in open economy and with government. The Social Accounting Matrix of the year 2013 is used for the supposed simulations.The results obtained show clearly that 50% direct tax reduction in income for the urban poor households and 100% for the rural ones make it possible to increase significantly the disposable income of these households as well as improving their consumption. On the other hand, the other policies such as exempting the agricultural and food commodities from the indirect tax, combined with 20% increase in this tax for the industrial products and the private services, or the exemption of the agricultural and food products from the customs duties, do not have a positive effect on the income and the consumption of the poor households.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".