Money multiplier under Basel capital ratio regulation: implications for counter-COVID-19 stimulus
Bibliographic record
Abstract
The COVID-19 induced the central bankers to search the most efficient stimulus measures. As a solution, they made an unprecedented step. They lifted down the reserve requirement (RR) to zero. This was done in the United States [FRS. 2020. “Federal Reserve Actions to Support the Flow of Credit to Households and Businesses.” Accessed February 10, 2021. Board of the Governors of the Federal Reserve System] and Morocco [BKAM. 2020. “Monetary Policy Report No. 55.” Accessed from Central Bank of Morocco Website]. The existing monetary theory literature suggests that the broad money supply should go to infinity as a result. Then we may expect the rapid economic recovery. However, this may not come true. The novelty of this paper is the development of the money multiplier theory. We explain why a step to set the RR at zero may boost (though slight) the cash-intensive economy (like Morocco) and may not deliver any benefit to a mostly cashless one (like the US, Canada, or the EU).
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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 | 0.023 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".