Demand for Canadian Banknotes from International Travel: Indirect Evidence from the COVID-19 Pandemic
Bibliographic record
Abstract
Recent trends suggest that domestic demand alone may not be enough to explain the increase in overall demand for Canadian banknotes (Engert et al., 2019). Estimating foreign cash demand is difficult due to data availability issues and confounding factors that simultaneously affect domestic demand. In this paper, I provide a quantitative causal estimate of banknote demand from international visitors to Canada by exploiting the exogenous shock from COVID-19 international travel restrictions, which led to an unprecedented drop in cross-border travel. To identify international visitor demand shocks from contemporaneous domestic demand shocks due to the pandemic, I apply a difference-in-differences strategy, taking advantage of foreign traveler demand’s distinct regional patterns and data from the Bank of Canada’s Bank Note Distribution System. I find that each international visitor brought on average $165 worth of hundred-dollar notes with them to Canada prior to the pandemic. Under plausible assumptions, total holdings by international visitors constitute roughly 10% of total $100 CAD notes in circulation at the end of 2019.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".