Currency Invoicing in International Trade: an Empirical Investigation
Why this work is in the frame
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Bibliographic record
Abstract
The authors investigate the choice of currency of invoicing in international trade under exchange rate fluctuations. Predictions derived from a model developed by Donnenfeld and Zilcha in 1991, and others, regarding the optimal choice of currency of invoice are tested for imports into Canada. The authors employ a unique dataset from Customs Canada that covers a six‐year period and lists all currencies used for invoicing by industry. The empirical results support the hypothesis that there is a positive relationship between the extent of invoicing in the importer's national currency and exchange rate risk, and a negative relationship between invoicing in the exporter's currency as well as invoicing in a third currency and exchange rate risk. The empirical results further indicate that relative size of a country plays a role in determining the currency of invoicing.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it