Household Debt, Assets, and Income in Canada: A Microdata Study
Bibliographic record
Abstract
The authors use microdata from the 1999 and 2005 Surveys of Financial Security to identify changes in household debt, and discuss their potential implications for monetary policy and financial stability. They document an increase in the debt-income ratio, which rose from 0.75 to 0.95, on average. Rising debt ratios were driven by a 50 per cent increase in mortgage balances among the middle-aged, a doubling of credit card debt among households over 55, and a fourfold increase in home equity lines of credit among small business owners and households without high school diplomas. The authors identify rising debt-income ratios among households in the bottom income quintile as the most important development of the years 1999 through 2005, signalling greater sensitivity to rising interest rates or negative income shocks – particularly among income-poor homeowners, whose 2005 mortgage obligations totalled 72 per cent of income. Meanwhile, an increase in the portfolio share for which real estate accounts, particularly among the middleaged, suggests that household balance sheets have become more sensitive to changes in the housing market. In addition to poor households, the authors identify former bankrupts, younger households, and the self-employed as more indebted and hence at greater risk.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.018 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".