MétaCan
Menu
Back to cohort
Record W2993969971 · doi:10.3968/11332

Exchange Rate Regimes and Real Sector Performance in Nigeria: A Disaggregated Approach

2019· article· en· W2993969971 on OpenAlexvenueno aff
Olajide Emmanuel Falana

Bibliographic record

VenueCanadian social science · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsExchange rateEarningsEconomicsPrivate sectorPovertyGovernment (linguistics)Foreign direct investmentForeign exchangeInvestment (military)BusinessPrivate sector developmentExternal sectorInternational economicsMonetary economicsMacroeconomicsFinanceEconomic growth

Abstract

fetched live from OpenAlex

ors and that a long term relationship exists between exchange rate and the real sector output in Nigeria. The results also establish existence of a clear evidence of differential impact of exchange rate regimes on the dynamics of outputs of the five disaggregated real sectors in Nigeria. The study therefore recommends that the monetary authorities should re-appraise the existing exchange rate policies in Nigeria with the intention of strengthening the controls and interventions to make them more effective and impact positively on the real sector of the economy. The government should also design and develop a broad programme of stimulating domestic productions to increase exports, eliminate non-productive imports and create employment. There is also the need to put in place and implement proactive and harmonized macroeconomic policies that would attract foreign private investment, increase foreign exchange earnings, stimulate exchange rate stability, reduce poverty level and spur overall economic development .

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.199
Teacher spread0.176 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCanadian social scienceSame topicFiscal Policy and Economic GrowthFrench-language works237,207