The Decline of the Immigrant Home-ownership Advantage: Life-cycle, Declining Fortunes and Changing Housing Careers in Montreal, Toronto and Vancouver, 1981-2001
Bibliographic record
Abstract
In the past, working-age immigrant families in Canada's large urban centres had higher home-ownership rates than the Canadian-born. Over the past 20 years, however, this advantage has reversed, due jointly to a drop in immigrant rates and a rise in the popularity of home-ownership among the Canadian-born. This paper assesses the efficacy of a fairly standard microeconomic consumer choice model, which includes indicators for age, income, education, family type and immigrant characteristics, plus several interactions with time, to explain these changes. It is found that the standard model almost completely explains the immigrant homeownership advantage in 1981, as well as the rise in home-ownership rates over time among the Canadian-born. Even after accounting for the well-known decline in immigrant economic fortunes, however, it is shown that only about half of the 1981-2001 immigrant change in homeownership rates is explained by the standard model.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".