Estimating intergenerational health transmission in Taiwan with administrative health records
Why this work is in the frame
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Bibliographic record
Abstract
We use population-wide administrative health records from Taiwan to estimate intergenerational persistence in health, providing the first estimates for a middle-income country. We measure latent health by applying principal components analysis to a set of indicators for 13 broad ICD categories and quintiles of visits to a general practitioner. We find that the rank–rank slope in health between adult children and their parents is 0.22 which is broadly in line with results from other countries. Maternal transmission is stronger than paternal transmission and sons have higher persistence than daughters. Persistence is also higher at the upper tail of the parent health distribution. Persistence is lower when complete data on outpatient care is unavailable. Health transmission is almost entirely unrelated to household income levels in Taiwan. We also find that there are small geographic differences in absolute health mobility across townships and that these are modestly correlated with area-level income and doctor availability. • We find that the rank–rank slope in health in Taiwan between adult children and their parents is 0.22. • Transmission is stronger from mothers than fathers, sons have higher persistence than daughters. • Persistence is higher at the upper tail of the parent health distribution. • Persistence is lower when complete data on outpatient care is unavailable. • Health transmission is almost entirely unrelated to household income levels. • There are small geographic differences in absolute health mobility across townships. • Township differences are modestly correlated with area-level income and doctor availability.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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