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Record W2787790272

The Political Economy of Private Credit Money Accommodation

2017· dissertation· en· W2787790272 on OpenAlexfundno aff
Steffen Murau

Bibliographic record

VenueCity Research Online (City University London) · 2017
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
FundersCanadian Pulmonary Fibrosis FoundationInstitute for New Economic ThinkingEuropean Social FundAmerican International Group
KeywordsMoney creationEndogenous moneyDebtFinancial systemDemand depositEconomicsBusinessFinanceMonetary economicsMonetary policy
DOInot available

Abstract

fetched live from OpenAlex

Private credit money forms are debt instruments that co-exist alongside publicly provided forms of money and emerge de-centrally out of the lending activities of banks or non-bank financial institutions. In normal times, they are easily convertible into higher-ranking forms of public or commodity money. Throughout history, however, private credit money forms have repeatedly become subject to a run by investors who all at once tried to convert their private credit money balances into higher-ranking money. Such runs are an integral and unavoidable feature of the modern credit money system, which in its essence is a self-referential network of expanding, yet instable debt claims. To keep up the stability of the monetary system, governments had to react to these runs and in a range of instances decided to drag the private credit money form under the control of the state by ensuring that they do not break away from par. This study examines this process of 'accommodating' private credit money. It establishes a functionalist theory about the transformation of the modern monetary system. To understand how and why such accommodation occurred, it develops an ideal-typical model of private credit money accommodation and applies it on three cases in the respective centres of the global financial system: the 1797 Bank Restriction in England that accommodated bank notes; the 1933 Emergency Banking Act in the U.S. that accommodated bank deposits; and the realignment of policies by the Fed and the U.S. Treasury in the 2008 crisis, which accommodated overnight repurchase agreements and money market fund shares as ‘shadow money’. On the basis of those case studies, the study argues that today’s public credit money supply is made up of accommodated, formerly private, credit money forms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.093
GPT teacher head0.335
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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