Financial development and income inequality: Direct and indirect transmission mechanisms in Sub-Saharan Africa
Why this work is in the frame
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Bibliographic record
Abstract
The reduction of income inequality between poor and rich constitutes one of the goals of governments and policymakers across the world. Financial development remains one way to cope with income inequality but its influence on income inequality is mixed. Thus, this paper explores the direct and indirect transmission mechanisms through which financial development can affect income inequality in Sub-Saharan Africa (SSA). The study utilises data from the Standardised World Income Inequality Database (SWIID) for income inequality and World Development Indicators (WDI) for financial development over the period 1995 to 2015. Analysing the data using the System Generalised Method of Moments (SGMM), the results show that financial development solely increases income inequality but its interaction with GDP per capita has a negative and significant effect on income inequality. These findings suggest that the financial development need a good economic growth to reduce income inequality.
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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) | 0.000 | 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