Oil revenue, institutions and macroeconomic indicators in <scp>N</scp>igeria
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 The influx of massive revenues during periods of abnormally high oil prices creates enormous challenges for policy‐makers in oil‐producing countries. In N igeria, the prudent utilisation of oil revenues has remained elusive for policy‐makers over time. While the country has earned sizeable oil revenues from its natural endowment, poverty and income inequality have been persistent. This study tests the sensitivity of several important macroeconomic indicators to oil revenue shocks. We additionally test for the effect of ‘institutional quality’, in recognition of the important role played by the domestic institutional context in shaping the policy responses adopted by successive N igerian governments to oil windfalls over time. The sensitivity analysis supports the general view that fluctuations in oil revenues have resulted in inflation, lower output growth and real exchange rate appreciation in N igeria. More importantly, the aforementioned institutional variable is found to be very significant. This finding is consistent with the general assessment of fiscal performance in N igeria during oil windfalls as being driven by domestic institutional dynamics. Ostentatious public consumption widened fiscal deficits, and government spending has been highly pro‐cyclical during windfall episodes. In conclusion, the study offers appropriate policy recommendations, which could be adopted to enhance the management of future oil windfalls in N igeria.
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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 | 0.000 | 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) | 0.001 | 0.001 |
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