Linking External Sector Imbalances and Changing Financial Instability before the 2008 Financial Crisis
Bibliographic record
Abstract
The G20 Framework for Strong, Sustainable and Balanced Growth builds on the claim that growing imbalances before the 2008 Financial Crisis were a major cause of the crisis, and the further claim that reducing imbalances post crisis must be a central part of any effort to prevent a further occurrence. Analytical literature in economics seemingly does not provide satisfactory measures of financial instability, either in individual national economies or in the combined global economy; nor ways of linking imbalance change to either worsening or improving financial (or real) instability and the onset of financial crises. Here we focus on the external sector component of financial instability and link changes in country imbalances to individual economy growth rates in ways when summed across countries produce indices of expected worsening or improving financial instability at different points in time. We compute a variety of such indices for the years immediately before the 2008 Financial Crisis. We use the sum of the absolute value of external sector imbalances across countries (the trade imbalance, or the current account imbalance) as a proportion of the combined GDP of countries and link them in various ways to country growth rates. An increasing measure under an index is an indication of future widening excess demands and supplies over all countries as a group relative to gross world product. This, in turn, is an indication of increasing severity of adjustment problems ahead, and hence expected worsening financial instability. We compute such indices for all G20 countries, and various subsets of countries (G2, G8, G8+5) and examine their behavior over the period 2004-2007. Our results suggest that depending upon the index used and the base date chosen for comparative purposes in determining changes, different implications emerge for the linkage between external sector imbalances, perceived future instability and hence the onset of a financial crisis. The implication we drawn is that the links between imbalances and both the onset and best policy response to the 2008 Financial Crisis asserted by the G20 may be more tenuous than claimed. Indeed no such links were suggested earlier for the 1930s, the Asian Financial Crisis or any other crisis. In turn economies have functioned with larger imbalances relative to GDP than in 2008 for considerable periods of time and with no financial implosion (UK in the pre World War I period; Germany and Australia in the 1990s).
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".