The effect of education on health among US residents in relation to country of birth
Bibliographic record
Abstract
This research explores the impact of education on health in relation to an individual's country of birth using the US National Health and Nutrition Examination Surveys for 2001-2004. We analyze health equations that relate health to education and other variables. Health is measured in terms of self-reported overall health, an index of biological risk factors, and body mass index. The primary hypothesis tested is whether education has a greater impact on immigrants' productive and allocative efficiency, because of their need to learn about how to remain healthy and access appropriate health care in a new environment. The empirical results indicate that for US residents, who were foreign-born, education is associated with a greater beneficial effect on every health outcome compared to those born in the United States. More education is related to an even greater positive effect on health for immigrants from Mexico, the origin of most immigrants, than from other countries. These results provide additional support for the portions of the 2007 Immigration Reform Act rejected by the US Congress, which placed a higher priority on education and job skills than current law. Since increased education and improved health are associated, such policy reform would help reduce the demands on the US health-care system.
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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 | 0.002 | 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 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".