Health and Work at Older Ages: Using Mortality to Assess the Capacity to Work across Countries
Bibliographic record
Abstract
Health and longevity have increased substantially over the last 50 years, yet the labor force participation of older men has declined in most developed countries. We use mortality as a measure of health to assess the capacity to work at older ages in 12 OECD countries. For a given level of mortality, the employment rates of older workers vary substantially across countries and over time within countries. At each mortality rate in 2007, if American men between the ages of 55 and 69 had worked as much as American men in 1977 they would have worked an additional 3.7 years between ages 55 and 69. That is, men in this age range in 2007 would have had to work 46.8 percent more to work as much as men with the same mortality worked thirty years earlier in 1977. Comparing across countries, at each mortality rate in 2007, to match the work of American men, French men for example would have to work 4.6 years more between the ages 55 to 69 than they actually did work. We also find that there is little relationship across countries between mortality improvements and the change in employment at older ages.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".