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Record W2593438070 · doi:10.5539/ijef.v9n4p79

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)

2017· article· en· W2593438070 on OpenAlexvenueno aff
El Moussaoui Mohamed, Mohamed Karim

Bibliographic record

VenueInternational Journal of Economics and Finance · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSocial accounting matrixComputable general equilibriumEconomicsConsumption (sociology)Consumption taxFiscal policyAgricultureGeneral equilibrium theoryIncome taxGross incomePrivate consumptionIndirect taxAgricultural economicsLabour economicsPublic economicsState income taxMacroeconomicsTax reformGeography

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.276
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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