THE WEALTH OF OLDER AMERICANS AND THE SUB-PRIME DEBACLE
Bibliographic record
Abstract
Abstract This study explores the consequences of the housing price bubble and its collapse for the wealth of older households. We utilize micro survey data to follow the rise in home values to 2007, observing which households enjoyed home price appreciation and how they responded in terms of equity withdrawal. We then use the SCF survey data on wealth holdings from 2007 in combination with national price indexes to simulate the magnitude and distribution of wealth loss from the 2008-2009 financial crisis. The collapse of the housing market triggered a broad decline of asset prices that greatly reduced the wealth of all households. While older households mitigated their real estate and equity losses with relatively stable fixed-value assets and pension programs, no demographic group was left unscathed. Prior to the financial crisis, our study and others had concluded that the current baby-boom cohort of near retirees were surprisingly well-prepared for retirement compared with similarly aged households over the past quarter century. Unless there is a strong recovery of asset values in the next few years, that favorable assessment is no longer true.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".