Homeownership over the Life Course of Canadians: Evidence from Canadian Censuses of Population
Bibliographic record
Abstract
Homeownership affects investment, consumption, and savings decisions of households, and plays a major role in post-retirement well-being. This paper examines two questions. First, to what extent do Canadians acquire and retain homeownership at different life-course stages, particularly after retirement? Second, has the age profile of homeownership changed over generations? Using data from eight Canadian censuses of population, conducted between 1971 and 2006, we find a strong regularity in the age profile of homeownership across generations of Canadians. The homeownership rate rises quickly with the age of household maintainers (i.e., the person(s) who pay(s) for shelter costs) in the period before the age of 40, and continues to climb thereafter at a slower pace until reaching the plateau near age 65, when about three quarters of Canadian households own their homes. We find that the homeownership rate changes little from age 65 to 74 but starts declining after age 75. As well, we note that the level at which homeownership plateaus has risen steadily across birth cohorts since the 1970s.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.015 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".