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Record W3006499127 · doi:10.4337/ejeep.2020.0059

Endogenous money, liquidity and monetary reform*

2020· article· en· W3006499127 on OpenAlexaff
Sheila Dow

Bibliographic record

VenueEuropean Journal of Economics and Economic Policies Intervention · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsEndogenous moneyEndogeneityEconomicsMonetary economicsMoney creationMoney supplyDemand depositMonetarismMonetary policyOrder (exchange)Money measurement conceptMarket liquidityMonetary baseMacroeconomicsVelocity of moneyCentral bankFinanceEconometrics

Abstract

fetched live from OpenAlex

Following its revival in the 1980s, the idea of endogenous money became increasingly widely accepted. Indeed the 2008 global financial crisis was widely blamed on the untrammelled power of banks to create credit. As a result, among the ideas for reforming the monetary system are proposals designed to eliminate that power, that is, to make the money supply exogenous. The purpose of this paper is to go back to the theory of endogenous money in order to assess these proposals, in terms of what is desirable, but also crucially what is feasible. Central to this discussion is a consideration of the range of meanings given to money and endogeneity. It is argued that what is regarded as money under different conditions is an important element in money endogeneity, and is particularly relevant for the monetary reform debate.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.010
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.221
Teacher spread0.163 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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