Financial development and economic growth: a symbiotic relationship
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
This article evaluates the plausibility of financial development as a tool to boost economic growth, using time series data on a cross-section of thirteen countries at different stages of development. Using annual data from 1960 to 2002, it conducts stationarity tests on the variables, followed by cointegration analysis among the banking and non-banking financial variables and GDP. It also tests for the direction of Granger-causality. Our results show that for Bangladesh, Sri Lanka, Brazil, Malaysia, Thailand and Turkey, this causality runs from economic growth to financial development. Granger-causality is bi-directional for India, Argentina, Germany, Japan, the UK and the USA. There does not exist one-way Granger-causality from financial development to economic development for any of the countries examined
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.003 |
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