Greener Pastures: Resetting the Age of Eligibility for Social Security Based on Actuarial Science
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
We know that because of low fertility rates, rising life expectancies and the aging of the baby boom, Canada’s Old Age Dependency Ratio is rising. This will strain the sustainability of our Social Security systems and healthcare. Other countries with aging populations are raising the Age of Eligibility (AOE) for social security benefits. These include Finland, Sweden, Norway, Poland and the United Kingdom. In 2012, then Prime Minister, Steven Harper announced plans to increase the AOE for Old Age Security (OAS) and Guaranteed Income Supplement (GIS) from 65 to 67 between 2023 and 2029. Trudeau reversed this legislation (leaving the AOE at 65) in the 2016 budget. This paper was inspired by work done in the UK for the Institute and Faculty of Actuaries State Pension Age Working Party. Our study applies their methodology onto the Canadian context. The results could be used in any country in the world, however. The UK proposal is based on actuarial and demographic logic that would see a rise in the AOE to guarantee a constant proportion of one’s adult life is spent in retirement. Thus, as life expectancy rises, there is an upward shift in the AOE for Social Security. For Canadian demographics, that constant proportion is 34 percent. Any lower value would result in an immediate need for a shift in the AOE, which we rejected. Using 34 percent triggers the first change in the AOE in 2025, which provides enough notice. The new AOE of 66 (phased in beginning in 2023 and achieved by 2025) would then be constant until 2048 when the AOE should shift to age 67 over two years. These shifts soften the rate of increase in the Old Age Dependency Ratio and bring lower OAS/GIS costs and lower required contribution rates for the CPP (both in tier 1 and the new tier 2). This, in turn, results in equity in financing retirement across generations and a higher probability of sustainability of these systems. There will also be an increase in the credibility of these systems in the public’s eye and an easing of public anxiety. One issue remains. Shifting the AOE upwards is regressive since wealthier Canadians live longer. We argue that this can be mitigated by changing the clawback formulae now used in the OAS and GIS. The Commentary concludes by proposing that the formula should become an Automatic Balancing Mechanism beyond any political interference.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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