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Record W3154915569

Role of Fiscal Rules and Institutions on Fiscal Sustainability and Growth: Policy Options for Zimbabwe

2020· article· en· W3154915569 on OpenAlexaboutno aff
Noell Machinjike, Wellington Garikai Bonga

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsnot available
Fundersnot available
KeywordsFiscal sustainabilityFiscal policyFiscal unionFiscal imbalanceEconomicsSustainabilityDebtMacroeconomicsBalance (ability)Economic policyCape verdeFiscal adjustment
DOInot available

Abstract

fetched live from OpenAlex

The paper investigated the significance of fiscal rules and fiscal institutions, with the objective of achieving fiscal sustainability and growth in Zimbabwe. Zimbabwe is currently faced with unsustainable expenditures which have resulted in fiscal macroeconomic imbalances. To achieve the study goals, a case study approach has was employed. The study to strengthen its arguments for policy derivation reviewed the experiences of the United Kingdom, Australia, Japan, New Zealand, Canada, Chile, Sweden, Botswana, Cape Verde, Malaysia and Mauritius. The selected countries have achieved fiscal sustainability and growth, with sound fiscal policies through the use of fiscal rules. Fiscal rules in the form of overall budget balance rules, primary balance rules, debt rules and expenditure ceilings are key in achieving fiscal sustainability and overall economic growth. The study recommended that Zimbabwe should adopt a fiscal rule to attain fiscal stability and growth. The study also proposed that a rule be enacted to ensure successful and effective implementation of the fiscal rule.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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 designNot applicable
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

Citations2
Published2020
Admission routes1
Has abstractyes

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