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Record W2464029556 · doi:10.1111/ijet.12163

Communication frictions, sentiments, and nonlinear business cycles

2018· preprint· en· W2464029556 on OpenAlexaff
Libo Xu, Apostolos Serletis

Bibliographic record

VenueInternational Journal of Economic Theory · 2018
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAggregate (composite)Variance (accounting)EconomicsContext (archaeology)Business cycleNonlinear systemEconometricsFunction (biology)Meaning (existential)Output gapMonetary economicsMicroeconomicsKeynesian economicsInterest ratePsychology

Abstract

fetched live from OpenAlex

Abstract In the context of a rational expectations macroeconomic model with communication frictions, we show that the level of economic activity is a nonlinear and time‐varying function of aggregate economic fundamentals and sentiment shocks. In particular, because of communication frictions, it is possible for small changes in sentiment shocks to cause large changes in aggregate output, and, similarly, for large changes in sentiment shocks to cause small changes in aggregate output. We also find that communication frictions have nonlinear effects on the variance of aggregate output, meaning that improving the communication does not always reduce the variance of aggregate output.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.049
GPT teacher head0.277
Teacher spread0.228 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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