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Record W3044754679 · doi:10.4337/9781786439550.00027

Banking and financial crises

2020· book-chapter· en· W3044754679 on OpenAlexaboutno aff
Jan Toporowski

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2020
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsPost-Keynesian economicsFinancial crisisKeynesian economicsEndogeneityMonetary policyEndogenous moneyInterest rateMonetary economics

Abstract

fetched live from OpenAlex

Marc Lavoie and Mario Seccareccia have, together with John Smithin, been leading voices in recent discussions on monetary theory. Among Post-Keynesians they have stood out for their willingness to engage with the rapid evolution of policy, in the wake of the financial crisis of 2008, and for their creative approach to the doctrines of Post-Keynesian analysis. This chapter is therefore dedicated to them formally as well as in the sense that it presents a view of financial crisis that, in many respects, complements their original insights. There are few monetary economists today who doubt the idea that the supply of money is endogenous. That the number of such doubters is so reduced is, in good measure, due to the compelling case for endogeneity that has been put forward by the Canadian Post-Keynesians. The banking and financial crisis, however, stands out as something of an anomaly in this approach to monetary theory: if money, or credit, is generated by processes inherent in the functioning of the credit system according to need, then, by definition, a financial crisis cannot arise because of a shortage of credit. Such crises must be because banks refuse to lend as much as is necessary, or because of some disturbances in the price mechanism (a fall in asset prices, or a fall in the rate of profit in relation to the rate of interest).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.042
GPT teacher head0.211
Teacher spread0.169 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2020
Admission routes1
Has abstractyes

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