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Record W4403683875 · doi:10.1093/restud/rdae102

Firm Inattention and the Efficacy of Monetary Policy: A Text-Based Approach

2024· article· en· W4403683875 on OpenAlexaff
Wenting Song, Samuel Stern

Bibliographic record

VenueThe Review of Economic Studies · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsBank of Canada
Fundersnot available
KeywordsEconomicsMonetary policyMonetary economicsKeynesian economicsMacroeconomicsMicroeconomics

Abstract

fetched live from OpenAlex

Abstract This paper provides empirical evidence of the importance of firm attention to macroeconomic dynamics. We construct a text-based measure of attention to macroeconomic news and document that attention is polarized across firms and countercyclical. Differences in attention lead to asymmetric responses to monetary policy: expansionary monetary shocks raise the market values of attentive firms more than those of inattentive firms, and contractionary shocks lower the values of attentive firms by less. Attention also mitigates the effects of macroeconomic uncertainty on firm performance. In a quantitative rational inattention model that is calibrated with this new text-based measure, inattention drives monetary non-neutrality. As average attention varies over the business cycle, so does the efficacy of monetary policy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.748
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.026
GPT teacher head0.273
Teacher spread0.248 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations18
Published2024
Admission routes1
Has abstractyes

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