Evolution of the payments system and the long-term demand for money in Canada
Bibliographic record
Abstract
This dissertation starts by examining the evolution of the Canadian payments system from a historical perspective by reviewing the institutional evolution, as well as the development and adoption of some of the newest payment instruments. Two major trends in recent Canadian payment history are revealed, i.e., cash payments are being replaced by non-cash payments and paper-based payment instruments are being replaced by electronic payment instruments. Next, we adopt a model proposed by Snellman et al. (2000) to conduct a Canadian study of the retail cash payment flows. The estimated results imply that the share of cash, as well as cheques, in overall retail payments in Canada has declined quite considerably. We then investigate the cash substitution process, as well as the electronification of payments in Canada using S-shaped growth curve models. Our results indicate that although the card payments will continue to further substitute for cash, cash will still remain the preferred medium of retail payments in Canada. However, approximately 80% of all payments are forecasted to be electronic in just 20 years. This dissertation then extends the existing literature on the long-run money demand relationship in Canada by employing information on the payment technology development as an instrument variable to account for financial innovations that might have caused structural shifts in the money demand equation. The econometric methodology employed is cointegration and error-correction modelling. It is found that our measure of financial innovations removes most of the structural breaks in the money demand equation over the sample period. A unique and significant long-run money demand relationship is detected. The short-run dynamic specifications of the VECM system imply the weak exogeneity of output and interest rates.
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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 | 0.000 | 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) | 0.000 | 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 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".