ESSAYS ON MONEY AND CREDIT IN MACROECONOMICS
Bibliographic record
Abstract
The thesis consists of three independent chapters on the role of endogenous money on shadow banking and international ?nance. In the ?rst chapter (Endogenous Money, Eurodollar, and the Shadow Banking System), I examine the consequence of endogenous money for banks and shadow banks at both the national and international level by considering the importance that the Eurodollar market played in the emergence of shadow banking. In the second chapter (The shadow banking system in a stock-?ow consistent framework), I develop an SFC model that includes complex ?nancial markets and important components of the shadow banking sector, which enables us to explore the relationship between core commercial banks and shadow banks. Building a complete ?nancial sector and its interaction with the real sectors within an SFC framework allowed us to shed light on the role that shadow banking plays in the origination of credit. In the third chapter (Repo lending and its implications for the central bank monetary policy and government debt issues), I examine the transformation of money markets over the past four decades and the implications of this transformation for the implementation of monetary policy and government debt issues.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".