Social Security Claiming Decisions: Survey Evidence
Bibliographic record
Abstract
While research shows that there are large gains in lifetime wealth from delaying claiming Social Security, most people claim at or before full retirement age. We fielded an original, nationally representative survey to gain insight into people’s rationales for their Social Security claiming decisions, their satisfaction with their past claiming decisions, and how they financed any gap between retirement and claiming. Common rationales for claiming Social Security before full retirement age include stopping work, liquidity, poor health, and concerns about future benefit cuts due to policy changes. Claiming upon stopping work and claiming at full retirement age appear to be viewed as social norms. But while Social Security claiming is strongly associated with stopping work, the roughly quarter of the sample who have a gap of two or more years between retirement and claiming used employer-sponsored pensions and other saving to finance the delay. Individuals who claimed at full retirement age are more satisfied with their claiming decisions than individuals who claimed early or delayed. There is little evidence that claiming decisions and rationales for claiming are correlated with financial literacy or knowledge of Social Security rules.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.066 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".