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Record W2011807786 · doi:10.4337/ejeep.2008.02.12

Financialisation Issues in a Post-Keynesian Stock-flow Consistent Model

2008· article· en· W2011807786 on OpenAlexaff
Marc Lavoie

Bibliographic record

VenueEuropean Journal of Economics and Economic Policies Intervention · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEconomicsStock (firearms)FinancializationLoanDividendInvestment (military)Monetary economicsUnemploymentEarningsEconometricsMacroeconomicsFinance

Abstract

fetched live from OpenAlex

This paper presents a stock-flow consistent growth model which is set in the Post-Keynesian tradition. A key feature of the model, however, is that real government expenditures grow at a rate which is compatible over the long period with a constant rate of unemployment (at the »natural rate of growth«). The model incorporates a detailed description of the household, production, banking and government sectors. This paper focuses on changes in parameters that are tied with financialization. The effects on the following changes are examined: the target proportion of retained earnings to investment, the proportion of profits distributed as dividends, the propensity of households to hold equities, and the propensity of households to take new loans as a proportion of their personal income. There is also a short analysis of the impact of a change in the loan repayment ratio and in the loan default ratio.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.237
Teacher spread0.191 · 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

Citations66
Published2008
Admission routes1
Has abstractyes

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