Analyzing the Economic Factors Affecting Life Expectancy in G7 Countries Using Panel Data Analysis
Bibliographic record
Abstract
<title>Abstract</title> This study aims to examine the relationships between life expectancy at birth (years) and gross domestic product per capita, gross national income per capita, and trade openness using panel data analysis. For this purpose, the G7 countries, consisting of Germany, the United States, the United Kingdom, Italy, France, Japan, and Canada, which are the seven most developed countries in the world and known as the leading countries, were analyzed through the panel data method for the period 1990–2019. The empirical findings reveal that gross domestic product per capita, gross national income per capita, and trade openness positively affect life expectancy at birth and that the effect of gross domestic product per capita and trade openness on life expectancy is significant, but the effect of gross national income per capita on life expectancy is insignificant. Finally, when gross domestic product per capita and trade openness increased by 1 unit, life expectancy at birth increased by 0.0001067 and 0.0802918 years, respectively. It was understood that robust panel data analysis models were applicable methods to examine the impacts of economic variables on people's life expectancy at birth.
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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 | 0.013 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.001 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; a candidate call from one teacher head, not a consensus.
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".