Linear and asymmetric impacts of oil price shocks in an oil‐importing and ‐exporting economy: the case of Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Given its economic structure, high‐energy intensity and its simultaneity as an oil‐importing and ‐exporting economy, Nigeria stands out as a special case to study the oil price–macroeconomy relation. By using a structural vector autoregressive model with 10 theoretically derived structural factorizations, this paper studies the linear and asymmetric impacts of oil price shocks on the Nigerian economy, focusing on the supply side effects, wealth transfer effects, inflation effects and real balance effects of oil price shocks between the period 1970Q1 and 2008Q4. Overall, the results show that oil price shocks have asymmetric impacts in one direction (positive) on the Nigerian economy and are not a major determinant of macroeconomic activity in Nigeria. Using Granger causality analysis, the paper also investigates the short‐run impacts of oil price shocks on the Nigerian economy. The results showed that depending on the measurement of oil price shock used, it only Granger‐caused output and inflation in the short run. This revealed that though Nigeria is a major exporter of crude oil, domestic macroeconomic trends do not significantly influence the dynamics of global oil markets, i.e. oil prices are strictly exogenous to the Nigerian economy. These insights have inspired us to recommend that the common practise of national development planning, premised on forecasts of anticipated oil prices should be de‐emphasized in Nigeria.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it