Is there a link between economic growth and insurance and banking sector activities in the G‐20 countries?
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 Rapid technological development over the last three decades has enabled different sectors of the economy to be seamlessly integrated. This has had an important spill‐over impact on the wealth of countries across the globe. In this paper we examine the inter‐linkages between the banking sector and the insurance industry on the economic growth of the G‐20 countries between 1980 and 2014. Using the vector auto‐regression model and the Granger causality test, the study shows that in the long run, developments in the banking sector and insurance industry have had a significant impact on the economic growth of the G‐20 countries. In the short term, the inter‐relationships between the three factors prove to be more complex in that they differ by countries in different stages of development. Based on the empirical findings, this paper discusses the policies and strategies policy makers and banks and insurance companies should have in place in order to create sustained economic growth in an increasingly inter‐connected world.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 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