The United States subprime mortgage crisis and its implications for the Caribbean
Bibliographic record
Abstract
The bursting of the property bubble – subprime mortgage crisis – in 2007 in the United States has engendered panic, recession fears and turmoil in the global financial system. Although the United States economy grew by 0.6 per cent in the last quarter of 2007, down from 4.9 per cent in the previous quarter, day by day worsening scenarios emerge, from escalating oil prices, to a depreciating dollar and financial institutions’ bailout by the Federal Reserve. Many economists and policy makers share the view that a subprime-led recession – i.e. two consecutive quarters with negative growth – is inevitable and will be much deeper and longer than the 2001 dot-com downturn. Moreover, the critical situation of the financial system has driven some analysts to argue that should the monetary policy response fails to restore confidence among investors, the outcome would be the worst crisis seen since the Great Depression. This pessimism is not only among specialists. Indeed, in late March 2008 the Consumer Confidence Index in the United States recorded its lowest level since February 1992. A recession in the United States will undoubtedly have an important impact on the world economy, despite the continuous rapid growth experienced by emerging economies, particularly China and India. The purpose of this article is threefold: first, to characterize the current situation in the United States economy; second, to discuss the economic policy responses; and finally, to elaborate on how Caribbean economies may be affected.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 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".