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Does Neoclassical Econometrics Have a Scientific Foundation? A Critique Based on Hollis and Nell

2014· article· fr· W10763298 on OpenAlexvenueno aff
Karim Errouaki

Bibliographic record

VenueInterventions économiques · 2014
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La crise financière mondiale de 2008 a relancé le débat sur les fondements scientifiques de l’économétrie néoclassique. L’économétrie néoclassique interprète ce qu’elle voit dans un contexte où les acteurs économiques font des choix avec un certain degré (peut-être limité) de rationalité. Elle relie simplement les observables les uns aux autres, mettant ensemble des choix et des actions dans des modèles d'équilibre. Mais la méthodologie de l'économie néoclassique constitue-t-elle une base adéquate pour l'économétrie structurelle ? Pour répondre à cette question, l’auteur réexamine le cadre méthodologique proposé par Hollis et Nell dans Rational Economic Man (1975) sur la relation entre le positivisme et la méthodologie de l'économie néoclassique, et se demande si ce cadre peut servir de fondement à une reconstruction de l’économie structurelle. L’auteur propose ensuite une relecture du Manifeste de Haavelmo (1944), et compare les deux œuvres. Pour l’auteur, il existe de bonnes raisons de penser que le cadre méthodologique de Hollis et Nell (1975) peut servir de base à une refondation de l’économétrie structurelle qui irait ainsi dans le sens des idées originales avancées par Haavelmo dans son Manifeste.

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), 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.060
GPT teacher head0.279
Teacher spread0.219 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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