MétaCan
Menu
Back to cohort
Record W2994836018 · doi:10.5539/ibr.v13n1p161

Failure of the Rational Expectation: Argumentation, Logic and Suggestions on Supply-Side Management

2019· article· en· W2994836018 on OpenAlexvenueno aff
Jia Kang, Jingchun Su

Bibliographic record

VenueInternational Business Research · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRisk Management in Financial Firms
Canadian institutionsnot available
Fundersnot available
KeywordsRational expectationsEconomicsIrrational numberArgumentation theoryRational analysisMarket failureRational agentGovernment (linguistics)Rational planning modelPositive economicsManagement scienceRisk analysis (engineering)MicroeconomicsBusinessNeoclassical economicsMacroeconomicsManagementMathematicsPsychology

Abstract

fetched live from OpenAlex

Rational expectation is known as the sixth revolution in economics. Based on a brief review of rational expectation, this paper puts forward the proposition of failure of rational expectation. The so-called failure of rational expectation means that when the market entity predicts future events, it is impossible to form a completely accurate expectation and then adjust its actions accordingly due to incomplete information and other reasons. On the contrary, due to various irrational factors, the actions of the market entities based on individual ration sometimes may be mad and loss of control, producing devastating effects on the economic system. This paper expounds the concept and formation mechanism of the failure of rational expectation, and conducts a preliminary empirical analysis on this in combination with China’s economic practice. On this basis, it proposes that rational supply management, which the government can play a role in, should be combined to correct the failure of rational expectation and realize the dynamic balance and stability of the economic system.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.310
Teacher spread0.278 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Business ResearchSame topicRisk Management in Financial FirmsFrench-language works237,207