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Record W7099514793

Perspectives on Household Balance Sheets Housing Crash Continues to Overshadow

2014· article· en· W7099514793 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsCrashEquity (law)Home equityNet worthQuarter (Canadian coin)ForeclosureBalance sheet
DOInot available

Abstract

fetched live from OpenAlex

The average young family—which we define as a single- or multi-person family unit headed by someone under 40—has recovered only about one-third of the wealth it lost during the financial crisis and recession. The average wealth of middle-aged families (ages 40 to 61) and older families (ages 62 or older) has recov-ered to about its precrisis level. The main reason young families’ balance-sheet recovery lags is the recent housing crash and its lingering effects. The homeownership rate among younger families has plunged, reflecting both the loss of many homes through foreclosure or other distressed sales and delayed entry into homeownership among newly formed households. The house-price gains that have helped mainly older families to rebuild homeowners ’ equity have been overshadowed among younger families by the ongoing retreat from homeownership. Young Families ’ Wealth Remains Far below the Precrisis Level The average inflation-adjusted (real) wealth of a young family was about $108,000 at the end of the third quarter of 2013, based on our estimates.1 The average real wealth of a family headed by someone between 40 and 61 was about $691,000, while the average real wealth of a family headed by someone aged 62 or older was about $928,000.2 Figure 1 displays the average wealth for families in each age category at three-year intervals beginning in 1989, when our data begin. To more easily compare percentage changes over time, Figure 2 re-scales the level of average real net worth for families in each age group to equal 100 in 2007. The very large percentage decline in aver-age wealth among young families between

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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.

Opus teacher head0.036
GPT teacher head0.300
Teacher spread0.264 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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