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Record W1973488309 · doi:10.6000/1929-7092.2014.03.18

On the Stability of Nigeria's Import Demand: Do Endogenous Structural Breaks Matter?

2014· article· en· W1973488309 on OpenAlexvenueno aff
Basiru Oyeniran Fatai

Bibliographic record

VenueJournal of Reviews on Global Economics · 2014
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsVolatility (finance)RevenueCausality (physics)Monetary economicsDemand curveDemand shockEconometricsMicroeconomicsFinance

Abstract

fetched live from OpenAlex

In this paper, we reassess the traditional import demand function and an augmented version that includes volatility of external reserves and oil revenue inflows as explanatory variables. In each version, we examine the role of regime shifts on the stability of Nigeria's import demand function which has been ignored in previous studies. Our findings suggest the existence of a long-run relationship between import demand and its determinants. We also present evidence of one-way causality running from changes in relative prices, oil revenue inflows and volatility of international reserves to import demand in Nigeria. However, when structural breaks were introduced, bi-directional causality is observed; indicating the critical role of regime shifts in determining the stability of Nigeria's import demand. The results make a case for diversifying Nigeria's revenue inflows in a bid to dampen the effect of contemporaneous shocks that affect external reserve accumulation thereby weakening its import financing capacity.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.234
Teacher spread0.214 · 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 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

Citations5
Published2014
Admission routes1
Has abstractyes

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