Financial Development, Investment and Economic Growth: Evidence from 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
The paper evaluates the relationship among financial development, investment and economic growth in Nigeria. It also examines the role of investment in financial development and how it influences economic growth in Nigeria. The paper applies the standard Vector autoregression (VAR) framework of Johansen, the Inoue (1999) cointegration framework with endogenous structural break model and Johansen et al . (2000) cointegration test with exogenous structural breaks, respectively. After accounting for structural breaks in the series, the study establishes a long-run relationship among financial development, investment and economic growth. This indicates that failure to account for structural breaks in the series may lead to bias estimates and may mislead policy conclusion. It further reveals that investment is a critical channel that influences economic growth through financial development.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.002 | 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