The Causal Effect of Education on Health: What is the Role of Health Behaviors?
Why this work is in the frame
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Bibliographic record
Abstract
We investigate the causal effect of education on health and the part of it that is attributable to health behaviors by distinguishing between short-run and long-run mediating effects: whereas, in the former, only behaviors in the immediate past are taken into account, in the latter, we consider the entire history of behaviors. We use two identification strategies: instrumental variables based on compulsory schooling reforms and a combined aggregation, differencing, and selection on an observables technique to address the endogeneity of both education and behaviors in the health production function. Using panel data for European countries, we find that education has a protective effect for European men and women aged 50+. We find that the mediating effects of health behaviors-measured by smoking, drinking, exercising, and the body mass index-account in the short run for around a quarter and in the long run for around a third of the entire effect of education on health.
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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 | 0.004 | 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 | 0.001 | 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 | 0.000 |
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