Financial Crises, 1880-1913: The Role of Foreign Currency Debt
Bibliographic record
Abstract
What is the role of foreign currency debt in precipitating financial crises? In this paper we assemble data for nearly 30 countries between 1880 and 1913 and examine debt crises, currency crises, banking crises and twin crises. We pay special attention to the role of foreign currency and gold clause debt, currency mismatches and debt intolerance. We find fairly robust evidence that more foreign currency debt leads to a higher chance of having a debt crisis or a banking crisis. However, a key finding is that countries with noticeably different backgrounds, and strong institutions such as Australia, Canada, New Zealand, Norway, and the US deftly managed their exposure to hard currency debt, generally avoided having too many crises and never had severe financial meltdowns. Moreover, a strong reserve position matched up to hard currency liabilities seems to be correlated with a lower likelihood of a debt crisis, currency crisis or a banking crisis. This strengthens the evidence for the hypothesis that foreign currency debt is dangerous when mis-managed. We also see that countries with previous default histories seem prone to debt crises even at seemingly low debt to revenue ratios. Finally we discuss the robustness of these results to local idiosyncrasies and the implications from this representative historical sample.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".