State pensions and the well-being of the elderly in the UK
Bibliographic record
Abstract
This paper presents the trends seen over the last quarter of the 20thCentury in various indicators of the well-being of the elderlyalongside those seen for the young. Specifically we look at measuresof both the level and distribution of income and expenditure, andself-reported measures of life satisfaction and health. We thenexploit the substantial reforms to the UK pension system over thisperiod to examine the impact of reforms to state pensions on theseoutcomes. We find that increases in the generosity of state pensionshave led to increased incomes of the elderly and reductions inmeasures of both relative and absolute income poverty. We also findthat increased state pensions have led to increased expenditure bythe elderly. It is perhaps not surprising that in the UK the reformsto the generosity of state pensions have affected outcomes amongthe elderly (instead of being fully offset by individuals when theywere younger) given that often very little (pre-retirement) notice wasgiven, and that some of the reforms were of a substantial magnitude. This paper presents the trends seen over the last quarter of the 20thCentury in various indicators of the well-being of the elderlyalongside those seen for the young. Specifically we look at measuresof both the level and distribution of income and expenditure, andself-reported measures of life satisfaction and health. We thenexploit the substantial reforms to the UK pension system over thisperiod to examine the impact of reforms to state pensions on theseoutcomes. We find that increases in the generosity of state pensionshave led to increased incomes of the elderly and reductions inmeasures of both relative and absolute income poverty. We also findthat increased state pensions have led to increased expenditure bythe elderly. It is perhaps not surprising that in the UK the reformsto the generosity of state pensions have affected outcomes amongthe elderly (instead of being fully offset by individuals when theywere younger) given that often very little (pre-retirement) notice wasgiven, and that some of the reforms were of a substantial magnitude.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".