Social Security Programs and Retirement Around the World: Disability Insurance Programs and Retirement - Introduction and Summary
Bibliographic record
Abstract
This is the introduction and summary to the sixth phase of an ongoing project on Social Security Programs and Retirement Around the World. The first phase described the retirement incentives inherent in plan provisions and documented the strong relationship across countries between social security incentives to retire and the proportion of older persons out of the labor force. The second phase documented the large effects that changing plan provisions would have on the labor force participation of older workers. The third phase demonstrated the consequent fiscal implications that extending labor force participation would have on net program costs-reducing government social security benefit payments and increasing government tax revenues. The fourth phase presented analyses of the relationship between the labor force participation of older persons and the labor force participation of younger persons in twelve countries. We found no evidence that increasing the employment of older persons will reduce the employment opportunities of youth and no evidence that increasing the employment of older persons will increase the unemployment of youth. The fifth phase on "Historical Trends in Mortality and Health, Employment, and Disability Insurance Participation and Reforms" was intended to set the stage for this current phase. This sixth phase of the ongoing ISS project is particularly related to the fifth phase (Wise, 2012) and the second phase (Gruber and Wise, 2004) of the project. This volume continues the focus of the previous volume on DI programs while extending the methodology to study retirement behavior used in the second phase to focus in particular on the effects of the DI programs. The key question this volume seeks to address is: given health status, to what extent are differences in labor force participation across countries determined by the provisions of disability insurance programs?
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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 | 0.009 | 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 | 0.004 |
| 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".