MétaCan
Menu
Back to cohort
Record W1986353521 · doi:10.1177/1091142106292498

Taxing Consumption in Jamaica

2006· article· en· W1986353521 on OpenAlexaff
Kelly D. Edmiston, Richard M. Bird

Bibliographic record

VenuePublic Finance Review · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExciseEconomicsConsumption (sociology)RevenueTax revenueValue-added taxConsumption taxTax reformShadow (psychology)Public economicsIndirect taxSales taxValue (mathematics)MacroeconomicsEconomic policyAd valorem taxMonetary economicsFinance

Abstract

fetched live from OpenAlex

In Jamaica, as in most countries, consumption taxes in the form of a value-added tax called the general consumption tax (GCT) and several excise taxes collectively known as the special consumption tax (SCT) are critically important revenue sources, accounting for 37.4 percent of total revenues in fiscal year 2003-2004 (27.7 percent for GCT alone) and an estimated 11.2 percent of GDP (8.3 percent for GCT alone). This article describes in some detail the present structure and administration of the GCT and SCT and then evaluates the performance of these taxes from several angles—their revenue effects, their distributional effects and their relation to the shadow economy, their administrative aspects, and their relation to various international considerations. It concludes by setting out a number of recommendations for reform.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.736

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.254
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePublic Finance ReviewSame topicTaxation and Compliance StudiesFrench-language works237,207