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Record W3121524130

Mortgaged to the Hilt: Risks From The Distribution of Household Mortgage Debt

2015· article· en· W3121524130 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDeleveragingHousehold debtDebtBoomBusinessSecondary mortgage marketMortgage underwritingDemographic economicsMortgage insuranceEconomicsMonetary economicsFinancial systemFinanceInsurance policy
DOInot available

Abstract

fetched live from OpenAlex

The rising level of household debt in Canada has raised concerns that a future deleveraging could pose a threat to the economy. In this Commentary, we look behind the aggregate numbers on household mortgage debt to find pockets of vulnerability that raise warning flags. We focus on the distribution of household mortgage debt by income, age and region, which is of critical importance when gauging the risk from the increase in mortgage debt. Our analysis suggests that primary mortgage debt relative to after-tax income has increased, with a significant minority of Canadians having taken on a high degree of financial risk. The percent of mortgage indebted households with a primary mortgage debt-to-disposable income ratio in excess of 500 percent has climbed from 3 percent in 1999 to 11 percent in 2012. That is far from the majority of Canadians, but it does represent half a million households. We find the increase in highly mortgage-indebted households has been in all income groups, but more so in lower-income quintiles. The increase in financial risk is also evident across all age groups, but more so for younger Canadians who have entered the market most recently. As one might expect, there has been greater concentration of mortgage debt in the provinces with the strongest housing booms. When an evaluation is made of mortgage debt relative to accessible financial assets, most Canadians look secure. But, there is a significant minority at risk. Roughly 1-in-5 of mortgage indebted households have less than $5, 000 in financial assets to draw upon in response to a loss of income or to higher debt service costs. 1-in-10 mortgage-indebted households have less than $1, 500 in financial assets to address any shock. This represents an inadequate financial buffer, as the Statistics Canada Survey of Household Spending indicates that average mortgage payments are more than $1, 000 a month, before taxes and operating costs. The data suggest that the majority of Canadians have been responsible in their borrowing, but the sustained low interest-rate environment has encouraged a significant minority to take on considerably more mortgage debt relative to after-tax income. And, it is evident that there are particular pockets of excessive leverage or risk. Beyond risks related to mortgage default, higher debt-to-disposable income ratios can pose economic risks as higher ratios have been associated internationally with larger falls in consumption during difficult economic times. The federal government may want to consider further policy actions to lean against the shift towards significantly higher mortgage burdens. However, such policy measures should not be unduly heavy handed and should be targeted to address the distributional nature of the risks.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.127
GPT teacher head0.330
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it