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Record W2256835567 · doi:10.1142/s0217590816500107

OPTIMAL TERM LENGTH FOR AN OVERCONFIDENT CENTRAL BANKER

2016· preprint· en· W2256835567 on OpenAlexaff
Étienne Farvaque, Norimichi Matsueda

Bibliographic record

VenueThe Singapore Economic Review · 2016
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsCenter for Interuniversity Research and Analysis on Organizations
FundersJapan Society for the Promotion of ScienceAgence Nationale de la Recherche
KeywordsOverconfidence effectIllusion of controlMandateEconomicsNew Keynesian economicsTerm (time)IllusionMonetary policyEconometricsMonetary economicsKeynesian economicsMicroeconomicsPolitical scienceCognitive psychologyPsychologyLawSocial psychology

Abstract

fetched live from OpenAlex

This paper discusses the implications of overconfidence when it affects a monetary policy maker. We consider two forms of overconfidence: the illusion of precision and the illusion of control. Incorporating them into a standard New Keynesian framework, we consider the optimal term length of a central banker and examine how it depends on the types and degrees of overconfidence. In particular, we show that the legal mandate should always be lengthened when these two types of biases increase by the same percentage magnitude.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.131
GPT teacher head0.296
Teacher spread0.166 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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