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Record W4399438386 · doi:10.62374/wftz7d32

Economic Calculation, Maturity Mismatching and the Credit Cycle

2011· article· en· W4399438386 on OpenAlexaff
Ivan Janković

Bibliographic record

VenueNew Perspectives on Political Economy · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMaturity (psychological)EconomicsEconometricsPolitical science

Abstract

fetched live from OpenAlex

This paper is an attempt to synthesize the classical Misesian argument for the impossibility of economic calculation in socialism with the Mises-Hayek credit cycle theory. The key concepts of the ABCT such as “interest rate” and “natural interest rate” have been traditionally defined for a barter economy, which made it very difficult to integrate them with the monetary theory of economic calculation. The focal point of the synthesis proposed here is Mises’s regression theorem in which he showed that money can be understood only as a commodity that has to be independently demanded for industrial and consumption purposes prior to establishing itself as a medium of exchange. It is shown that abandoning of the pure gold standard is just a special and limited case of the general problem Mises originally explored in the context of the debate on socialism – abolishing of the private property rights that leads to “incalculability” in the economic system. The main finding of the paper is that maturity mismatching and fractional reserve banking in a similar way bring about the inconsistent time structure of private property rights in money, and distort the economic calculation that way. Hence, the necessary condition for both the rational economic calculation and the avoidance of business cycle is the presence of a 100% reserve commodity money that is privately owned, the full-banking reserve as well as the private property in the means of production and the absence of maturity mismatching.

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 categoriesInsufficient 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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.022
GPT teacher head0.236
Teacher spread0.214 · 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
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

Citations1
Published2011
Admission routes1
Has abstractyes

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