Retirement incentives and behavior of private and public sector workers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Over the past several decades, private sector workers in the USA with employed-sponsored pensions have experienced a dramatic shift from defined benefit (DB) to defined contribution plans, while this trend has been less pronounced for public sector workers. In this paper, we use data from the Health and Retirement Study to explore changes in the retirement incentives and retirement behavior of public and private sector workers over the past quarter-century. We find that both groups have become less likely to report having a DB pension or any pension. Compared to their private sector counterparts, public sector workers have a higher level of retirement wealth and a larger financial gain from continued work at older ages, and these differences by sector are growing across cohorts. Both groups respond to financial incentives in making retirement decisions. However, growing differences by sector in the gain to continued work do not appear to have translated into diverging retirement behavior, as we observe similar trends in the two groups.
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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 | 0.000 | 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 it