The Importance of Social Security Benefits to the Income of the Aged Population
Bibliographic record
Abstract
Social Security benefits comprise the most important source of income for people aged 65 and over. However, changes in the last decades in employer-provided pensions, Social Security program, and societal changes may have altered the composition of income sources among the elderly. Some researchers have argued that the Current Population Survey (CPS ASEC) doesn’t properly measure income from retirement accounts and thus overestimate importance of Social Security and underestimate reliance on income from pensions. Given changes to the CPS, we focus on reliance on Social Security benefits among the elderly, using data from the 2015 CPS, and validate the CPS estimates with those from the Survey of Income and Program Participation and the Health and Retirement Study. Despite differences across the three surveys, estimates are quite similar regarding the share of income from Social Security. Findings suggest that about half of elderly receive at least 50% of their family income from Social Security benefits, whereas for a quarter of elderly Social Security benefits comprise at least 90% of their family income.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".