Long-Run Relatıonshıp between Economıc Freedom and Income Inequalıty: Evidence from G-7 Countrıes
Bibliographic record
Abstract
This paper examines the long run relationship between economic freedoms and income inequality in G-7 [1] countries overthe2000 – 2015period. The World Economic Freedom Index (EFW) that created by the Fraser Institute is one of the methods of measuring economic freedoms in a country. The EFW consists of five sub-indices: size of the government, legal system and property rights, sound money, freedom to trade internationaly and regulations. According to the results of this study, EFW increases income inequality in G-7 countries. However, all of the areas of economic freedom do not affect income inequality in the same direction. While freedoms in government size and legal system areas has increased the income inequality; freedoms in free trade to internationally, sound money and regulation areas reduce income inequality. [1] United States, Canada, United Kingdoom, Germany, France, Japan, Italy
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".